5335 Hive Jobs - Page 2

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Leads projects for design, development and maintenance of a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Works on one or many product teams at a time. Key Responsibilities Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. Designs and provide guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Designs and implements physical data models to define the database structure. Optimizing database performance through efficient indexing and table relationships. Participates in optimizing, testing, and troubleshooting of data pipelines. Designs, develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). Uses innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Assists with renovating the data management infrastructure to drive automation in data integration and management. Ensures the timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban Coaches and develops less experienced team members. Responsibilities Competencies: System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Decision quality - Making good and timely decisions that keep the organization moving forward. Data Extraction - Performs data extract-transform-load (ETL) activities from variety of sources and transforms them for consumption by various downstream applications and users using appropriate tools and technologies. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product. Solution Documentation - Documents information and solution based on knowledge gained as part of product development activities; communicates to stakeholders with the goal of enabling improved productivity and effective knowledge transfer to others who were not originally part of the initial learning. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making. Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes: 5-8 years of experince Familiarity analyzing complex business systems, industry requirements, and/or data regulations Background in processing and managing large data sets Design and development for a Big Data platform using open source and third-party tools SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework SQL query language Clustered compute cloud-based implementation experience Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources Experience in building analytical solutions Intermediate Experiences In The Following Are Preferred Experience with IoT technology Experience in Agile software development Qualifications Work closely with business Product Owner to understand product vision. Play a key role across DBU Data & Analytics Power Cells to define, develop data pipelines for efficient data transport into Cummins Digital Core ( Azure DataLake, Snowflake). Collaborate closely with AAI Digital Core and AAI Solutions Architecture to ensure alignment of DBU project data pipeline design standards. Independently design, develop, test, implement complex data pipelines from transactional systems (ERP, CRM) to Datawarehouses, DataLake. Responsible for creation, maintenence and management of DBU Data & Analytics data engineering documentation and standard operating procedures (SOP). Take part in evaluation of new data tools, POCs and provide suggestions. Take full ownership of the developed data pipelines, providing ongoing support for enhancements and performance optimization. Proactively address and resolve issues that compromise data accuracy and usability. Preferred Skills Programming Languages: Proficiency in languages such as Python, Java, and/or Scala. Database Management: Expertise in SQL and NoSQL databases. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and other big data frameworks. Cloud Services: Experience with Azure, Databricks and AWS cloud platforms. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes. Data Replication: Working knowledge of replication technologies like Qlik Replicate is a plus API: Working knowledge of API to consume data from ERP, CRM

What do we do? The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience. The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems. Role Description The role will be Business Analytics Analyst 2 (C10) in the TTS Analytics team The role will report to the AVP/VP leading the team The role will involve working on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders Experience: Bachelor’s Degree with 4+ years of experience in data analytics, or Master’s Degree with 2+ years of experience in data analytics Must have: Marketing analytics experience Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc. Predictive modeling using Machine Learning Good to have: Experience in financial services Digital Marketing and/or Digital Experience domain knowledge Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining Skills: Analytical Skills: Proficient in formulating analytical methodology, identifying trends and patterns with data Has the ability to work hands-on to retrieve and manipulate data from big data environments Tools and Platforms: Proficient in Python/R, SQL Experience in PySpark, Hive and Scala Proficient in MS Excel, PowerPoint Good to have: Experience with Tableau Soft Skills: Strong analytical and problem-solving skills Excellent communication and interpersonal skills Be organized, detail oriented, and adaptive to matrix work environment ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Business Analysis ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

What do we do? The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience. The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems. Role Description The role will be Business Analytics Analyst (C11) in the TTS Analytics team The role will report to the AVP/VP leading the team The role will involve working on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders Qualifications Experience: Bachelor’s or Master’s Degree with 5-8 years of experience in data analytics Must have: Marketing analytics experience Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc. Predictive modeling using Machine Learning Good to have: Experience in financial services Experience working with data from different sources and of different complexity Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining Skills: Analytical Skills: Strong logical reasoning and problem solving ability Proficient in converting business problems into analytical tasks, and analytical findings into business insights Proficient in formulating analytical methodology, identifying trends and patterns with data Has the ability to work hands-on to retrieve and manipulate data from big data environments Tools and Platforms: Proficient in Python/R, SQL Experience in PySpark, Hive and Scala Proficient in MS Excel, PowerPoint Good to have: Experience with Tableau Soft Skills: Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Strong process/project management skills Ability to coach and mentor juniors Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Business Analysis ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

What do we do? The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience. The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems. Role Description The role will be Business Analytics Analyst (C11) in the TTS Analytics team The role will report to the AVP/VP leading the team The role will involve working on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders Qualifications Experience: Bachelor’s or Master’s Degree with 5-8 years of experience in data analytics Must have: Marketing analytics experience Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc. Predictive modeling using Machine Learning Good to have: Experience in financial services Experience working with data from different sources and of different complexity Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining Skills: Analytical Skills: Strong logical reasoning and problem solving ability Proficient in converting business problems into analytical tasks, and analytical findings into business insights Proficient in formulating analytical methodology, identifying trends and patterns with data Has the ability to work hands-on to retrieve and manipulate data from big data environments Tools and Platforms: Proficient in Python/R, SQL Experience in PySpark, Hive and Scala Proficient in MS Excel, PowerPoint Good to have: Experience with Tableau Soft Skills: Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Strong process/project management skills Ability to coach and mentor juniors Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Business Analysis ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

What do we do? The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience. The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems. Role Description The role will be Data/Information Mgt Analyst 2 (C10) in the TTS Analytics team The role will report to the AVP/VP leading the team The role will involve working on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business The work involves setting up and optimizing data pipelines using big data technologies such as PySpark, Scala, and Hive. The role will also include working with SQL and NoSQL databases (e.g., MongoDB) to manage and retrieve data effectively. The role requires designing and deploying interactive Tableau dashboards to visualize data insights and provide stakeholders with actionable information using features such as Tableau Prep Flows, Level of Detail (LOD) Expressions, Table Calculations etc. This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to enable data driven insights to business and functional stakeholders Experience: Bachelor’s Degree with 4+ years of experience in data analytics, or Master’s Degree with 2+ years of experience in data analytics Must have: Marketing analytics experience Proficiency in designing and deploying Tableau dashboards Strong experience in data engineering and building data pipelines Experience with big data technologies such as PySpark, Scala, and Hive Proficiency in SQL and experience with various database systems (e.g., MongoDB) Good to have: Experience in financial services Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc. Skills: Analytical Skills: Strong analytical and problem-solving skills related to data manipulation and pipeline optimization Has the ability to work hands-on to retrieve and manipulate data from big data environments Ability to design efficient data models and schemas Tools and Platforms: Proficient in Python/R, SQL Experience in PySpark, Hive, and Scala Strong knowledge of SQL and NoSQL databases such as MongoDB etc. Proficiency with Tableau (designing and deploying advanced, interactive dashboards) Proficient in MS Office Tools such Excel and PowerPoint Soft Skills: Strong analytical and problem-solving skills Excellent communication and interpersonal skills Be organized, detail oriented, and adaptive to matrix work environment ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the data integration team builds data gravity on the Microsoft Cloud. Massive volumes of data are generated – not just from transactional systems of record, but also from the world around us. Our data integration products – Azure Data Factory and Power Query make it easy for customers to bring in, clean, shape, and join data, to extract intelligence. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. We’re the team that developed the Mashup Engine (M) and Power Query. We already ship monthly to millions of users across Excel, Power/Pro BI, Flow, and PowerApps; but in many ways we’re just getting started. We’re building new services, experiences, and engine capabilities that will broaden the reach of our technologies to several new areas – data “intelligence”, large-scale data analytics, and automated data integration workflows. We plan to use example-based interaction, machine learning, and innovative visualization to make data access and transformation even more intuitive for non-technical users. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Responsibilities Engine layer: designing and implementing components for dataflow orchestration, distributed querying, query translation, connecting to external data sources, and script parsing/interpretation Service layer: designing and implementing infrastructure for a containerized, micro services based, high throughput architecture UI layer: designing and implementing performant, engaging web user interfaces for datavisualization/exploration/transformation/connectivity and dataflow management Embody our culture and values Qualifications Required/Minimum Qualifications Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience Experience in data integration or migrations or ELT or ETL tooling is mandatory Preferred/Additional Qualifications BS degree in Computer Science Engine role: familiarity with data access technologies (e.g. ODBC, JDBC, OLEDB, ADO.Net, OData), query languages (e.g. T-SQL, Spark SQL, Hive, MDX, DAX), query generation/optimization, OLAP UI role: familiarity with JavaScript, TypeScript, CSS, React, Redux, webpack Service role: familiarity with micro-service architectures, Docker, Service Fabric, Azure blobs/tables/databases, high throughput services Full-stack role: a mix of the qualifications for the UX/service/backend roles Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Equal Opportunity Employer (EOP) #azdat #azuredata #azdat #azuredata #microsoftfabric #dataintegration Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

The Business Analytics Int Analyst is a developing professional role with the autonomy to solve complex problems independently. You will utilize your in-depth specialty knowledge and industry understanding to integrate with the team and other functions effectively. Your analytical thinking and proficiency in data analysis tools will be crucial in making informed judgments and recommendations based on factual information. Your role will involve dealing with variable issues that may have broader business impacts, requiring professional judgment in interpreting data and results. You will also need to communicate complex information in a systematic and understandable manner, demonstrating developed communication and diplomacy skills. The quality and timeliness of the service you provide will directly impact the effectiveness of your team and other closely related teams. Responsibilities: - Gather operational data from various cross-functional stakeholders to analyze past business performance. - Identify data patterns and trends to provide insights that enhance business decision-making capabilities. - Recommend actions for future developments, strategic business opportunities, and operational policy enhancements. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies. - Continuously improve processes and strategies by evaluating new data sources, tools, and capabilities. - Collaborate with internal and external business partners to build, implement, track, and enhance decision strategies. - Assess risks appropriately when making business decisions, ensuring compliance with laws, rules, and regulations. Role Description: - The role of Spec Analytics Intmd Analyst (C11) in the TTS Analytics team. - Reporting to the AVP or VP leading the team. - Working on multiple analyses throughout the year on business problems across the client life cycle for the TTS business. - Leveraging various analytical approaches, tools, and techniques to provide data-driven insights to business partners. - Contributing to ideation on analytical projects to tackle strategic business priorities. - Embracing ambiguity and open-ended questions as a core part of the team's work. Qualifications: Experience: - Bachelor's Degree with 6-8 years or Master's Degree with 4-6 years of experience in data analytics, or a relevant PhD. - Substantial experience in identifying and resolving business problems, utilizing text data, developing analytical tools, applying predictive modeling techniques, and working with diverse data sources. Skills: Analytical Skills: - Strong logical reasoning and problem-solving ability. - Proficiency in converting business problems into analytical tasks and deriving business insights from analytical findings. - Ability to work hands-on with data from big data environments. Tools and Platforms: - Prior experience with Graph databases like Neo4j and Vector database. - Proficiency in Python, PySpark, Hive, MS Excel, and PowerPoint. - Experience with PySpark and Tableau is a plus.,

You will be part of Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE team as a Data Scientist. Your responsibilities will include designing and implementing workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. You should have demonstrable competency in Probability and Statistics, with the ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations will be crucial. Additionally, you will be expected to perform Exploratory Data Analysis (EDA) of raw data, conduct feature engineering where applicable, and showcase competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions, as well as training and evaluating ML models using various machine learning and deep learning algorithms, will be part of your role. You will also need to retrain and maintain model accuracy in deployment and package & deploy large-scale models on on-premise systems using multiple approaches including docker. Taking complete ownership of the assigned project, working in Agile environments, and being well-versed with project tracking tools like JIRA or equivalent will be expected. Your competencies should include knowledge of cloud platforms (AWS, Azure, and GCP), exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase), and forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts), experience with large datasets and distributed computing (Hive/Hadoop/Spark), and transfer learning using state-of-the-art models in different spaces such as vision, NLP, and speech will be beneficial. Integration with external services and Cloud API, as well as working with data annotation approaches and tools for text, images, and videos, will also be part of your responsibilities. The ideal candidate should have a minimum of 2 years and a maximum of 8 years of work experience, along with a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

You should have 5-12 years of experience in Big Data & Data related technologies, with expertise in distributed computing principles. Your skills should include an expert level understanding of Apache Spark and hands-on programming with Python. Proficiency in Hadoop v2, Map Reduce, HDFS, and Sqoop is required. Experience in building stream-processing systems using technologies like Apache Storm or Spark-Streaming, as well as working with messaging systems such as Kafka or RabbitMQ, will be beneficial. A good understanding of Big Data querying tools like Hive and Impala, along with integration of data from multiple sources including RDBMS, ERP, and Files, is necessary. You should possess knowledge of SQL queries, joins, stored procedures, and relational schemas. Experience with NoSQL databases like HBase, Cassandra, and MongoDB, along with ETL techniques and frameworks, is expected. Performance tuning of Spark Jobs and familiarity with native Cloud data services like AWS or AZURE Databricks is essential. The role requires the ability to efficiently lead a team, design and implement Big data solutions, and work as a practitioner of AGILE methodology. This position falls under the category of Data Engineer and is suitable for individuals with expertise in ML/AI Engineers, Data Scientists, and Software Engineers.,

Job Summary Strong hands on developer / devops for Credit Grading Hive in PE. This is for a #1 priority for the FFG program and a strong engineering talent is required to drive the rebuild of CreditMate legacy platform. The skillset requires is to complete overhaul and develop an inhouse solution in latest technology stack The person will be part of the team developing new CreditMate aligned with CC wide Unified UI / UX strategy. Key Responsibilities Strategy Advice future technology capabilities and architecture design considering business objectives, technology strategy, trends and regulatory requirements Awareness and understanding of the Group’s business strategy and model appropriate to the role. Business Awareness and understanding of the wider business, economic and market environment in which the Group operates. Understand and Recommend business flows and translate them to API Ecosystem Processes Responsible for executing and supervising microservices development to facilitate business capabilities and orchestrate to achieve business outcomes People & Talent Lead through example and build the appropriate culture and values. Set appropriate tone and expectations from their team and work in collaboration with risk and control partners. Ensure the provision of ongoing training and development of people, and ensure that holders of all critical functions are suitably skilled and qualified for their roles ensuring that they have effective supervision in place to mitigate any risks. Risk Management The ability to interpret the Portfolio Key Risks, identify key issues based on this information and put in place appropriate controls and measures Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the rol Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Lead to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] Serve as a Director of the Board Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Product Owners, Hive Leads, Client Coverage Tech and Biz Stakeholders Qualifications Education-Computer science it btech Certifications-Java, kubernetes, Languages-Java, quarkus, spring, sql, python Skills And Experience Participates in development of multiple or large software products and estimates and monitors development costs based on functional and technical requirements. Delivery Experience as Tech Project manager and analysis skills Contrasts advantages and drawbacks of different development languages and tools. Expertise in RDBMS solutions (Oracle, PostgreSQL) & NoSQL offerings (Cassandra, MongoDB, etc) Experience in distributed technologies e.g. Kafka, Apache MQ, RabbitMQ etc. will be added advantage Strong knowledge in application integration using Web Service (SOAP/REST/GRPC) or Messaging using JMS. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Job Summary Leads projects for design, development and maintenance of a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Works on one or many product teams at a time. Key Responsibilities Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. Designs and provide guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Designs and implements physical data models to define the database structure. Optimizing database performance through efficient indexing and table relationships. Participates in optimizing, testing, and troubleshooting of data pipelines. Designs, develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). Uses innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Assists with renovating the data management infrastructure to drive automation in data integration and management. Ensures the timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban Coaches and develops less experienced team members. Responsibilities Competencies: System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Decision quality - Making good and timely decisions that keep the organization moving forward. Data Extraction - Performs data extract-transform-load (ETL) activities from variety of sources and transforms them for consumption by various downstream applications and users using appropriate tools and technologies. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product. Solution Documentation - Documents information and solution based on knowledge gained as part of product development activities; communicates to stakeholders with the goal of enabling improved productivity and effective knowledge transfer to others who were not originally part of the initial learning. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making. Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes: 5-8 years of experince Familiarity analyzing complex business systems, industry requirements, and/or data regulations Background in processing and managing large data sets Design and development for a Big Data platform using open source and third-party tools SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework SQL query language Clustered compute cloud-based implementation experience Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources Experience in building analytical solutions Intermediate Experiences In The Following Are Preferred Experience with IoT technology Experience in Agile software development Qualifications Work closely with business Product Owner to understand product vision. 2) Play a key role across DBU Data & Analytics Power Cells to define, develop data pipelines for efficient data transport into Cummins Digital Core ( Azure DataLake, Snowflake). 3) Collaborate closely with AAI Digital Core and AAI Solutions Architecture to ensure alignment of DBU project data pipeline design standards. 4) Independently design, develop, test, implement complex data pipelines from transactional systems (ERP, CRM) to Datawarehouses, DataLake. 5) Responsible for creation, maintenence and management of DBU Data & Analytics data engineering documentation and standard operating procedures (SOP). 6) Take part in evaluation of new data tools, POCs and provide suggestions. 7) Take full ownership of the developed data pipelines, providing ongoing support for enhancements and performance optimization. 8) Proactively address and resolve issues that compromise data accuracy and usability. Preferred Skills Programming Languages: Proficiency in languages such as Python, Java, and/or Scala. Database Management: Expertise in SQL and NoSQL databases. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and other big data frameworks. Cloud Services: Experience with Azure, Databricks and AWS cloud platforms. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes. Data Replication: Working knowledge of replication technologies like Qlik Replicate is a plus API: Working knowledge of API to consume data from ERP, CRM Job Systems/Information Technology Organization Cummins Inc. Role Category Remote Job Type Exempt - Experienced ReqID 2417810 Relocation Package Yes

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Job Summary Leads projects for design, development and maintenance of a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Works on one or many product teams at a time. Key Responsibilities Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. Designs and provide guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Designs and implements physical data models to define the database structure. Optimizing database performance through efficient indexing and table relationships. Participates in optimizing, testing, and troubleshooting of data pipelines. Designs, develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). Uses innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Assists with renovating the data management infrastructure to drive automation in data integration and management. Ensures the timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban Coaches and develops less experienced team members. Responsibilities Competencies: System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Decision quality - Making good and timely decisions that keep the organization moving forward. Data Extraction - Performs data extract-transform-load (ETL) activities from variety of sources and transforms them for consumption by various downstream applications and users using appropriate tools and technologies. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product. Solution Documentation - Documents information and solution based on knowledge gained as part of product development activities; communicates to stakeholders with the goal of enabling improved productivity and effective knowledge transfer to others who were not originally part of the initial learning. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making. Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes: 5-8 years of experience Familiarity analyzing complex business systems, industry requirements, and/or data regulations Background in processing and managing large data sets Design and development for a Big Data platform using open source and third-party tools SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework SQL query language Clustered compute cloud-based implementation experience Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources Experience in building analytical solutions Intermediate Experiences In The Following Are Preferred Experience with IoT technology Experience in Agile software development Qualifications Work closely with business Product Owner to understand product vision. 2) Play a key role across DBU Data & Analytics Power Cells to define, develop data pipelines for efficient data transport into Cummins Digital Core ( Azure DataLake, Snowflake). 3) Collaborate closely with AAI Digital Core and AAI Solutions Architecture to ensure alignment of DBU project data pipeline design standards. 4) Independently design, develop, test, implement complex data pipelines from transactional systems (ERP, CRM) to Datawarehouses, DataLake. 5) Responsible for creation, maintenence and management of DBU Data & Analytics data engineering documentation and standard operating procedures (SOP). 6) Take part in evaluation of new data tools, POCs and provide suggestions. 7) Take full ownership of the developed data pipelines, providing ongoing support for enhancements and performance optimization. 8) Proactively address and resolve issues that compromise data accuracy and usability. Preferred Skills Programming Languages: Proficiency in languages such as Python, Java, and/or Scala. Database Management: Expertise in SQL and NoSQL databases. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and other big data frameworks. Cloud Services: Experience with Azure, Databricks and AWS cloud platforms. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes. Data Replication: Working knowledge of replication technologies like Qlik Replicate is a plus API: Working knowledge of API to consume data from ERP, CRM Job Systems/Information Technology Organization Cummins Inc. Role Category Remote Job Type Exempt - Experienced ReqID 2417809 Relocation Package Yes

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Job Summary Supports, develops and maintains a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with the Business and IT teams to understand the requirements to best leverage the technologies to enable agile data delivery at scale. Key Responsibilities Implements and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Implements methods to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. Develops reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Develops physical data models and implements data storage architectures as per design guidelines. Analyzes complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models. Participates in testing and troubleshooting of data pipelines. Develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). Uses agile development technologies, such as DevOps, Scrum, Kanban and continuous improvement cycle, for data driven application. Responsibilities Competencies: System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Decision quality - Making good and timely decisions that keep the organization moving forward. Data Extraction - Performs data extract-transform-load (ETL) activities from variety of sources and transforms them for consumption by various downstream applications and users using appropriate tools and technologies. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product. Solution Documentation - Documents information and solution based on knowledge gained as part of product development activities; communicates to stakeholders with the goal of enabling improved productivity and effective knowledge transfer to others who were not originally part of the initial learning. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making. Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience 4-5 Years of experience. Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities. Knowledge of the latest technologies in data engineering is highly preferred and includes: Exposure to Big Data open source SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework SQL query language Clustered compute cloud-based implementation experience Familiarity developing applications requiring large file movement for a Cloud-based environment Exposure to Agile software development Exposure to building analytical solutions Exposure to IoT technology Qualifications Work closely with business Product Owner to understand product vision. 2) Participate in DBU Data & Analytics Power Cells to define, develop data pipelines for efficient data transport into Cummins Digital Core ( Azure DataLake, Snowflake). 3) Collaborate closely with AAI Digital Core and AAI Solutions Architecture to ensure alignment of DBU project data pipeline design standards. 4) Work under limited supervision to design, develop, test, implement complex data pipelines from transactional systems (ERP, CRM) to Datawarehouses, DataLake. 5) Responsible for creation of DBU Data & Analytics data engineering documentation and standard operating procedures (SOP) with guidance and help from senior data engineers. 6) Take part in evaluation of new data tools, POCs with guidance and help from senior data engineers. 7) Take ownership of the developed data pipelines, providing ongoing support for enhancements and performance optimization under limited supervision. 8) Assist to resolve issues that compromise data accuracy and usability. Programming Languages: Proficiency in languages such as Python, Java, and/or Scala. Database Management: Intermediate level expertise in SQL and NoSQL databases. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and other big data frameworks. Cloud Services: Experience with Azure, Databricks and AWS cloud platforms. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes. API: Working knowledge of API to consume data from ERP, CRM Job Systems/Information Technology Organization Cummins Inc. Role Category Remote Job Type Exempt - Experienced ReqID 2417808 Relocation Package Yes

Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis. Grade - T5 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date Accountabilities What your main responsibilities are: Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity Data Integration - Connect offline and online data to continuously improve overall understanding of customer behavior and journeys for personalization. Data pre-processing including collecting, parsing, managing, analyzing and visualizing large sets of data Data Quality Management - Cleanse the data and improve data quality and readiness for analysis. Drive standards, define and implement/improve data governance strategies and enforce best practices to scale data analysis across platforms Data Transformation - Processes data by cleansing data and transforming them to proper storage structure for the purpose of querying and analysis using ETL and ELT process Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and more timely understanding of operation. Qualifications & Specifications Masters /Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Strong programming skills in Python/Pyspark/SAS. Proven experience with large data sets and related technologies – Hadoop, Hive, Distributed computing systems, Spark optimization. Experience on cloud platforms (preferably Azure) and it's services Azure Data Factory (ADF), ADLS Storage, Azure DevOps. Hands-on experience on Databricks, Delta Lake, Workflows. Should have knowledge of DevOps process and tools like Docker, CI/CD, Kubernetes, Terraform, Octopus. Hands-on experience with SQL and data modeling to support the organization's data storage and analysis needs. Experience on any BI tool like Power BI (Good to have). Cloud migration experience (Good to have) Cloud and Data Engineering certification (Good to have) Working in an Agile environment 4-7 years of relevant work experience needed. Experience with stakeholder management will be an added advantage. What We Are Looking For Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Knowledge, Skills And Abilities Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Data Modeling and Database Design ETL (Extract, Transform, Load) Skills Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis. Grade - T5 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date Accountabilities What your main responsibilities are: Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity Data Integration - Connect offline and online data to continuously improve overall understanding of customer behavior and journeys for personalization. Data pre-processing including collecting, parsing, managing, analyzing and visualizing large sets of data Data Quality Management - Cleanse the data and improve data quality and readiness for analysis. Drive standards, define and implement/improve data governance strategies and enforce best practices to scale data analysis across platforms Data Transformation - Processes data by cleansing data and transforming them to proper storage structure for the purpose of querying and analysis using ETL and ELT process Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and more timely understanding of operation. Qualifications & Specifications Masters /Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Strong programming skills in Python/Pyspark/SAS. Proven experience with large data sets and related technologies – Hadoop, Hive, Distributed computing systems, Spark optimization. Experience on cloud platforms (preferably Azure) and it's services Azure Data Factory (ADF), ADLS Storage, Azure DevOps. Hands-on experience on Databricks, Delta Lake, Workflows. Should have knowledge of DevOps process and tools like Docker, CI/CD, Kubernetes, Terraform, Octopus. Hands-on experience with SQL and data modeling to support the organization's data storage and analysis needs. Experience on any BI tool like Power BI (Good to have). Cloud migration experience (Good to have) Cloud and Data Engineering certification (Good to have) Working in an Agile environment 4-7 years of relevant work experience needed. Experience with stakeholder management will be an added advantage. What We Are Looking For Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Knowledge, Skills And Abilities Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Data Modeling and Database Design ETL (Extract, Transform, Load) Skills Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

Hadoop Admin Location - Bangalore ( 1st priority) / Pune / Chennai Interview Mode - Level 1 or 2 will be F2F discussion Experience - 7+ Yrs Regular Shift - 9 AM to 6 PM JOB SUMMARY: 1) Strong expertise in Install, configure, and maintain Hadoop ecosystem components (HDFS, YARN, Hive, HBase, Spark, Oozie, Zookeeper, etc.). 2) Monitor cluster performance and capacity; troubleshoot and resolve issues proactively. 3) Manage cluster upgrades, patching, and security updates with minimal downtime. 5) Implement and maintain data security, authorization, and authentication (Kerberos, Ranger, or Sentry). 6) Configure and manage Hadoop high availability, disaster recovery, and backup strategies. 7) Automate cluster monitoring, alerting, and performance tuning. 8) Work closely with data engineering teams to ensure smooth data pipeline operations. 9) Perform root cause analysis for recurring system issues and implement permanent fixes. 10) Develop and maintain system documentation, including runbooks and SOPs. 11) Support integration with third-party tools (Sqoop, Flume, Kafka, Airflow, etc.). 12) Participate in on-call rotation and incident management for production support.

The Security Engineering team at Uber is focused on making the production and corporate environments secure by default to provide industry-leading solutions for Uber's production services and infrastructure. As a Senior Software Engineer in the Enterprise Application Security team, you will leverage your solid software engineering background in building solutions to ensure the protection of enterprise applications from evolving cyber threats. You will be responsible for designing, implementing, and maintaining advanced security solutions to strengthen Uber's security posture by securing various enterprise applications. What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Design and implement secure architectures for enterprise applications, ensuring industry best practices. Hands-on coding and code reviews Build, deploy, configure, and manage a variety of enterprise security solutions, including the Security Posture Management platform. Monitor, analyze, and remediate security risks across enterprise applications. Provide technical and engineering support to security and IT teams performing regular security assessments. Basic Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related field. 6+ years of experience in software engineering Strong hands-on technical skills, including proficiency in one or more programming languages (Go, Java, Python, C/C++) and code reviews Deep understanding of software engineering fundamentals, including algorithms, data structures, system design, and architecture. Excellent analytical and problem-solving skills, with the ability to assess security risks and implement effective solutions. Passion for innovation Preferred Qualifications Knowledge of cybersecurity concepts, tools, and best practices. Certifications in Security is a plus Experience with AI/ML technologies / frameworks and incorporating them into production systems Experience with SQL, Kafka and databases (including Spark, Hive, SQL, No-SQL etc) Experience with modern development practices (e.g., CI/CD, microservices, cloud platforms like AWS/GCP). Experience in building out integrations with open-source and vendor products Experience with automation and scripting (e.g., Python, Bash) for security operations

Data Software Engineer Location:Chennai and Coimbatore Mode:Hybrid Interview:Walkin 5-12 Years of in Big Data & Data related technology experience  Expert level understanding of distributed computing principles  Expert level knowledge and experience in Apache Spark  Hands on programming with Python  Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop  Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming  Good understanding of Big Data querying tools, such as Hive, and Impala  Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files  Good understanding of SQL queries, joins, stored procedures, relational schemas  Experience with NoSQL databases, such as HBase, Cassandra, MongoDB  Knowledge of ETL techniques and frameworks  Performance tuning of Spark Jobs  Experience with AZURE Databricks  Ability to lead a team efficiently  Experience with designing and implementing Big data solutions  Practitioner of AGILE methodology

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? The U.S. Consumer Services Team is responsible for our suite of consumer products, services, and experiences in the U.S., including our premium, cobrand, cash back, and lending portfolios. The USCS team is focused on making membership an indisputable competitive advantage and helping each other become better leaders every day. The Product Analytics team within USCS is a key function that informs and drives product strategy and customer experience through data driven insights. We are currently hiring for the role of Analyst - Loyalty and MR Analytics within Product Analytics. The Loyalty and MR Analytics Team supports the organization’s efforts to drive customer engagement, maintain competitive differentiation and manage expenses through Membership Rewards (MR) earn and burn programs. The candidate will work on effectively leveraging data to generate insights for optimizing the MR program. The role will require cross-functional collaboration with several groups including Product Management, Marketing, Finance and Analytics. This role represents a unique opportunity to leverage applied quantitative skills to influence business strategy and drive measurable outcomes. Responsibilities Analyze Cardmember MR earn/burn behavior and inform marketing treatments to drive engagement Inform MR partner evaluation framework and redemption option strategy Communicate data driven findings and strategic insights effectively to stakeholders across the USCS organization and other cross-functional teams Collaborate with cross-functional teams including Product, Finance, and Marketing to align data insights with broader organizational objectives and initiatives Translate complex data into clear narratives and compelling business stories to influence executive-level decisions Stay informed on industry trends, emerging technologies, and best practices in analytics to drive innovation and continuous improvement Critical Factors to Success Strong analytical skills and an innovative approach to solving practical problems Sound knowledge of Machine learning algorithms / statistics / data mining and research methods Good understanding of the card economics. Experience in Charge/Loyalty analytics is a plus Exceptional verbal, written, and interpersonal communication skills Natural intellectual curiosity and strong interest in the credit card and loyalty space Minimum Qualifications Bachelor’s degree required and Master’s degree preferred in following areas: Statistics, Economics, Mathematics, Engineering, Business, Finance, Computer Science, or related quantitative fields 0 - 2 years of professional experience driving performance optimization through the application of advanced analytics and decision sciences Hands-on expertise using statistical analysis and data manipulation software/tools (e.g. SQL, Hive, Python and Big Data analytic techniques) Enthusiastic, self-driven individual with proactive approach to learning, identifying emerging industry trends, and generating innovative solutions Ability to learn quickly and work independently with large and complex datasets Benefits We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025 . Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Job Overview: Does architecting high quality and scalable data pipelines powering business critical applications excite you? How about working with cutting edge technologies alongside some of the brightest and most collaborative individuals in the industry? Join us, in our mission to bring the best learning to every corner of the world! We’re looking for a passionate and talented individual with a keen eye for data to join the Data Engineering team at Coursera! Data Engineering plays a crucial role in building a robust and reliable data infrastructure that enables data-driven decision-making, as well as various data analytics and machine learning initiatives within Coursera. In addition, Data Engineering today owns many external facing data products that drive revenue and boost partner and learner satisfaction. You firmly believe in Coursera's potential to make a significant impact on the world, and align with our core values: Learners first: Champion the needs, potential, and progress of learners everywhere. Play for team Coursera: Excel as an individual and win as a team. Put Coursera’s mission and results before personal goals. Maximize impact: Increase leverage by focusing on things that produce bigger results with less effort. Learn, change, and grow: Move fast, take risks, innovate, and learn quickly. Invite and offer feedback with respect, courage, and candor. Love without limits: Celebrate the diversity and dignity of every one of our employees, learners, customers, and partners. Your Responsibilities Architect scalable data models and construct high quality ETL pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, Redshift, Spark. Your work will lay the foundation for our data-driven culture. Design, build, and launch self-serve analytics products. Your creations will empower our internal and external customers, providing them with rich insights to make informed decisions. Be a technical leader for the team. Your guidance in technical and architectural designs for major team initiatives will inspire others. Help shape the future of Data Engineering at Coursera and foster a culture of continuous learning and growth. Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data. Develop new tools and frameworks in collaboration with other engineers. Your innovative solutions will enable our customers to understand and access data more efficiently, while adhering to high standards of governance and compliance. Work cross-functionally with product managers, engineers, and business teams to enable major product and feature launches. Your Skills 5+ years experience in data engineering with expertise in data architecture and pipelines Strong programming skills in Python Proficient with relational databases, data modeling, and SQL Experience with big data technologies (eg: Hive, Spark, Presto) Familiarity with batch and streaming architectures preferred Hands-on experience with some of: AWS, Databricks, Delta Lake, Airflow, DBT, Redshift, Datahub, Elementary Knowledgeable on data governance and compliance best practices Ability to communicate technical concepts clearly and concisely Independence and passion for innovation and learning new technologies If this opportunity interest you, you might like these courses on Coursera - Big Data Specialization Data Warehousing for Business Intelligence IBM Data Engineering Professional Certificate Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here.

Job Title - Senior Flutter Developer Location - Hyderabad Key Responsibilities Development & Technical Leadership · Design, develop, and maintain high-quality mobile applications using Flutter framework · Lead technical discussions and provide architectural guidance for mobile projects · Write clean, maintainable, and well-documented code following best practices · Implement responsive UI designs that work seamlessly across different screen sizes and platforms · Integrate mobile applications with RESTful APIs and third-party services · Optimize application performance and ensure smooth user experiences Code Quality & Collaboration · Conduct thorough code reviews and provide constructive feedback to team members · Mentor junior developers and share knowledge of Flutter best practices · Collaborate with cross-functional teams including designers, product managers, and backend developers · Participate in agile development processes and sprint planning · Troubleshoot and debug complex technical issues Innovation & Improvement · Stay updated with latest Flutter updates, packages, and industry trends · Propose and implement technical improvements to enhance development efficiency · Contribute to technical documentation and development standards · Research and evaluate new technologies and tools for mobile development Required Qualifications Experience & Skills · 5-8 years of overall software development experience · 3+ years of hands-on experience with Flutter framework · 4+ years of mobile app development experience (iOS/Android) · Strong proficiency in Dart programming language · Experience with state management solutions (Provider, Riverpod, Bloc, GetX) · Solid understanding of object-oriented programming and design patterns Technical Expertise · Experience with RESTful API integration and JSON parsing · Knowledge of local storage solutions (SQLite, Hive, Shared Preferences) · Familiarity with Firebase services (Auth, Firestore, Cloud Messaging, Analytics) · Understanding of version control systems (Git) · Experience with CI/CD pipelines for mobile applications · Knowledge of app store deployment processes (Google Play Store, Apple App Store) Platform Knowledge · Understanding of native Android and iOS development concepts · Experience with platform-specific implementations using platform channels · Knowledge of responsive design principles and adaptive layouts · Familiarity with device hardware integration (camera, GPS, sensors) Preferred Qualifications Advanced Skills · Experience with Flutter Web or Flutter Desktop development · Knowledge of backend technologies (Node.js, Python, Java) · Experience with GraphQL and modern API technologies · Familiarity with microservices architecture · Understanding of DevOps practices and cloud platforms (AWS, Google Cloud) Additional Experience · Experience with automated testing (unit tests, widget tests, integration tests) · Knowledge of design systems and component libraries · Experience with performance optimization and memory management · Familiarity with accessibility standards and implementation · Experience in team leadership or mentoring roles Education & Certifications · Bachelor's degree in Computer Science, Software Engineering, or related field · Relevant certifications in mobile development or Flutter (preferred) · Continuous learning mindset with commitment to professional development Key Competencies · Strong problem-solving and analytical thinking abilities · Excellent communication and collaboration skills · Attention to detail and commitment to code quality · Ability to work in fast-paced environments and manage multiple priorities · Leadership qualities and willingness to mentor team members · Adaptability to new technologies and changing requirements Job Type: Full-time Pay: ₹60,000.00 - ₹80,000.00 per month Work Location: In person Application Deadline: 02/08/2025

Summary As a Data Analyst, you will be responsible for Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage. About the Role Location – Hyderabad #LI Hybrid About the Role: As a Data Analyst, you will be responsible for Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage. Key Responsibilities: Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage. Collaborate with cross-functional teams, including data analysts, business analyst and BI, to understand data requirements and design appropriate solutions. Build and maintain data infrastructure in the cloud, ensuring high availability, scalability, and security. Write clean, efficient, and reusable code in scripting languages, such as Python or Scala, to automate data workflows and ETL processes. Implement real-time and batch data processing solutions using streaming technologies like Apache Kafka, Apache Flink, or Apache Spark. Perform data quality checks and ensure data integrity across different data sources and systems. Optimize data pipelines for performance and efficiency, identifying and resolving bottlenecks and performance issues. Collaborate with DevOps teams to deploy, automate, and maintain data platforms and tools. Stay up to date with industry trends, best practices, and emerging technologies in data engineering, scripting, streaming data, and cloud technologies Essential Requirements: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field with an overall experience of 2-4 Years. Proven experience as a Data Engineer or similar role, with a focus on scripting, streaming data pipelines, and cloud technologies like AWS, GCP or Azure. Strong programming and scripting skills in languages like Python, Scala, or SQL. Experience with cloud-based data technologies, such as AWS, Azure, or Google Cloud Platform. Hands-on experience with streaming technologies, such as AWS Streamsets, Apache Kafka, Apache Flink, or Apache Spark Streaming. Strong experience with Snowflake (Required) Proficiency in working with big data frameworks and tools, such as Hadoop, Hive, or HBase. Knowledge of SQL and experience with relational and NoSQL databases. Familiarity with data modelling and schema design principles. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Excellent communication and teamwork skills. Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation: Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division US Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Job Title: Data Engineer Total Experience: 3+ Years Location: Hyderabad Job Type: Contract Work Mode: On-site Notice Period: Immediate to 15 Days Work Timings: Monday to Friday, 10 am to 7 pm (IST) Interview Process Level 1: HR Screening (Personality Assessment) Level 2: Technical Round Level 3: Final Round (Note: The interview levels may vary) Company Overview Compileinfy Technology Solutions Pvt. Ltd. is a fast-growing IT services and consulting company delivering tailored digital solutions across industries. At Compileinfy, we promote a culture of ownership, critical thinking, and technological excellence. Job Summary We are seeking a highly motivated Data Engineer to join our expanding Data & AI team. This role offers the opportunity to design and develop robust, scalable data pipelines and infrastructure, ensuring the delivery of high-quality, timely, and accessible data throughout the organization. As a Data Engineer, you will collaborate across teams to build and optimize data solutions that support analytics, reporting, and business operations. The ideal candidate combines deep technical expertise, strong communication, and a drive for continuous improvement. Who You Are: Experienced in designing and building data pipelines for ingestion, transformation, and loading (ETL/ELT) of data from diverse sources to data warehouses or lakes. Proficient in SQL and at least one programming language, such as Python, Java, or Scala. Skilled at working with both relational databases (e.g., PostgreSQL, MySQL) and big data platforms (e.g., Hadoop, Spark, Hive, EMR). Competent in cloud environments (AWS, GCP, Azure), data lake, and data warehouse solutions. Comfortable optimizing and managing the quality, reliability, and timeliness of data flows. Ability to translate business requirements into technical specifications and collaborate effectively with stakeholders, including data scientists, analysts, and engineers. Detail-oriented, with strong documentation skills and a commitment to data governance, security, and compliance. Proactive, agile, and adaptable to a fast-paced environment with evolving business needs. What You Will Do: Design, build, and manage scalable ETL/ELT pipelines to ingest, transform, and deliver data efficiently from diverse sources to centralized repositories such as lakes or warehouses. Implement validation, monitoring, and cleansing procedures to ensure data consistency, integrity, and adherence to organizational standards. Develop and maintain efficient database architectures, optimize data storage, and streamline data integration flows for business intelligence and analytics. Work closely with data scientists, analysts, and business users to gather requirements and deliver tailored data solutions supporting business objectives. Document data models, dictionaries, pipeline architectures, and data flows to ensure transparency and knowledge sharing. Implement and enforce data security and privacy measures, ensuring compliance with regulatory requirements and best practices. Monitor, troubleshoot, and resolve issues in data pipelines and infrastructure to maintain high availability and performance. Preferred Qualifications: Bachelor’s or higher degree in Computer Science, Information Technology, Engineering, or a related field. 3-4years of experience in data engineering, ETL development, or related areas. Strong SQL and data modeling expertise with hands-on experience in data warehousing or business intelligence projects. Familiarity with AWS data integration tools (e.g., Glue, Athena), messaging/streaming platforms (e.g., Kafka, AWS MSK), and big data tools (Spark, Databricks). Proficiency with version control, testing, and deployment tools for maintaining code and ensuring best practices. Experience in managing data security, quality, and operational support in a production environment. What You Deliver Comprehensive data delivery documentation (data dictionary, mapping documents, models). Optimized, reliable data pipelines and infrastructure supporting the organization’s analytics and reporting needs. Operations support and timely resolution of data-related issues aligned with service level agreements. Interdependencies / Internal Engagement Actively engage with cross-functional teams to align on requirements, resolve issues, and drive improvements in data delivery, architecture, and business impact. Become a trusted partner in fostering a data-centric culture and ensuring the long-term scalability and integrity of our data ecosystem Why Join Us? At Compileinfy, we value innovation, collaboration, and professional growth. You'll have the opportunity to work on exciting, high-impact projects and be part of a team that embraces cutting-edge technologies. We provide continuous learning and career advancement opportunities in a dynamic, inclusive environment. Perks and Benefits Competitive salary and benefits package Flexible work environment Opportunities for professional development and training A supportive and collaborative team culture Application Process Submit your resume with the subject line: “Data Engineer Application – [Your Name]” to recruitmentdesk@compileinfy.com Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: ₹600,000.00 - ₹700,000.00 per year Benefits: Health insurance Provident Fund Work Location: In person

7 - 9 Years 2 Openings Trivandrum Role description Senior Data Engineer – Azure/Snowflake Migration Key Responsibilities Design and develop scalable data pipelines using Snowflake as the primary data platform, integrating with tools like Azure Data Factory, Synapse Analytics, and AWS services. Build robust, efficient SQL and Python-based data transformations for cleansing, enrichment, and integration of large-scale datasets. Lead migration initiatives from AWS-based data platforms to a Snowflake-centered architecture, including: o Rebuilding AWS Glue pipelines in Azure Data Factory or using Snowflake-native ELT approaches. o Migrating EMR Spark jobs to Snowflake SQL or Python-based pipelines. o Migrating Redshift workloads to Snowflake with schema conversion and performance optimization. o Transitioning S3-based data lakes (Hudi, Hive) to Snowflake external tables via ADLS Gen2 or Azure Blob Storage. o Redirecting Kinesis/MSK streaming data to Azure Event Hubs, followed by ingestion into Snowflake using Streams & Tasks or Snowpipe. Support database migrations from AWS RDS (Aurora PostgreSQL, MySQL, Oracle) to Snowflake, focusing on schema translation, compatibility handling, and data movement at scale. Design modern Snowflake lakehouse-style architectures that incorporate raw, staging, and curated zones, with support for time travel, cloning, zero-copy restore, and data sharing. Integrate Azure Functions or Logic Apps with Snowflake for orchestration and trigger-based automation. Implement security best practices, including Azure Key Vault integration and Snowflake role-based access control, data masking, and network policies. Optimize Snowflake performance and costs using clustering, multi-cluster warehouses, materialized views, and result caching. Support CI/CD processes for Snowflake pipelines using Git, Azure DevOps or GitHub Actions, and SQL code versioning. Maintain well-documented data engineering workflows, architecture diagrams, and technical documentation to support collaboration and long-term platform maintainability. Required Qualifications 7+ years of data engineering experience, with 3+ years on Microsoft Azure stack and hands-on Snowflake expertise. Proficiency in: o Python for scripting and ETL orchestration o SQL for complex data transformation and performance tuning in Snowflake o Azure Data Factory and Synapse Analytics (SQL Pools) Experience in migrating workloads from AWS to Azure/Snowflake, including services such as Glue, EMR, Redshift, Lambda, Kinesis, S3, and MSK. Strong understanding of cloud architecture and hybrid data environments across AWS and Azure. Hands-on experience with database migration, schema conversion, and tuning in PostgreSQL, MySQL, and Oracle RDS. Familiarity with Azure Event Hubs, Logic Apps, and Key Vault. Working knowledge of CI/CD, version control (Git), and DevOps principles applied to data engineering workloads. Preferred Qualifications Extensive experience with Snowflake Streams, Tasks, Snowpipe, external tables, and data sharing. Exposure to MSK-to-Event Hubs migration and streaming data integration into Snowflake. Familiarity with Terraform or ARM templates for Infrastructure-as-Code (IaC) in Azure environments. Certification such as SnowPro Core, Azure Data Engineer Associate, or equivalent. Skills Aws,Azure Data Lake,Python About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

9 - 12 Years 1 Opening Trivandrum Role description Tech Lead – Azure/Snowflake & AWS Migration Key Responsibilities Design and develop scalable data pipelines using Snowflake as the primary data platform, integrating with tools like Azure Data Factory, Synapse Analytics, and AWS services. Build robust, efficient SQL and Python-based data transformations for cleansing, enrichment, and integration of large-scale datasets. Lead migration initiatives from AWS-based data platforms to a Snowflake-centered architecture, including: o Rebuilding AWS Glue pipelines in Azure Data Factory or using Snowflake-native ELT approaches. o Migrating EMR Spark jobs to Snowflake SQL or Python-based pipelines. o Migrating Redshift workloads to Snowflake with schema conversion and performance optimization. o Transitioning S3-based data lakes (Hudi, Hive) to Snowflake external tables via ADLS Gen2 or Azure Blob Storage. o Redirecting Kinesis/MSK streaming data to Azure Event Hubs, followed by ingestion into Snowflake using Streams & Tasks or Snowpipe. Support database migrations from AWS RDS (Aurora PostgreSQL, MySQL, Oracle) to Snowflake, focusing on schema translation, compatibility handling, and data movement at scale. Design modern Snowflake lakehouse-style architectures that incorporate raw, staging, and curated zones, with support for time travel, cloning, zero-copy restore, and data sharing. Integrate Azure Functions or Logic Apps with Snowflake for orchestration and trigger-based automation. Implement security best practices, including Azure Key Vault integration and Snowflake role-based access control, data masking, and network policies. Optimize Snowflake performance and costs using clustering, multi-cluster warehouses, materialized views, and result caching. Support CI/CD processes for Snowflake pipelines using Git, Azure DevOps or GitHub Actions, and SQL code versioning. Maintain well-documented data engineering workflows, architecture diagrams, and technical documentation to support collaboration and long-term platform maintainability. Required Qualifications 9+ years of data engineering experience, with 3+ years on Microsoft Azure stack and hands-on Snowflake expertise. Proficiency in: o Python for scripting and ETL orchestration o SQL for complex data transformation and performance tuning in Snowflake o Azure Data Factory and Synapse Analytics (SQL Pools) Experience in migrating workloads from AWS to Azure/Snowflake, including services such as Glue, EMR, Redshift, Lambda, Kinesis, S3, and MSK. Strong understanding of cloud architecture and hybrid data environments across AWS and Azure. Hands-on experience with database migration, schema conversion, and tuning in PostgreSQL, MySQL, and Oracle RDS. Familiarity with Azure Event Hubs, Logic Apps, and Key Vault. Working knowledge of CI/CD, version control (Git), and DevOps principles applied to data engineering workloads. Preferred Qualifications Extensive experience with Snowflake Streams, Tasks, Snowpipe, external tables, and data sharing. Exposure to MSK-to-Event Hubs migration and streaming data integration into Snowflake. Familiarity with Terraform or ARM templates for Infrastructure-as-Code (IaC) in Azure environments. Certification such as SnowPro Core, Azure Data Engineer Associate, or equivalent. Skills Azure,AWS REDSHIFT,Athena,Azure Data Lake About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.