627 Mapreduce Jobs - Page 18

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300075 Show more Show less

Job Title / Primary Skill: Big Data Developer (Lead/Associate Manager) Management Level: G150 Years of Experience: 8 to 13 years Job Location: Bangalore (Hybrid) Must Have Skills: Big data, Spark, Scala, SQL, Hadoop Ecosystem. Educational Qualification: BE/BTech/ MTech/ MCA, Bachelor or masters degree in Computer Science, Job Overview Overall Experience 8+ years in IT, Software Engineering or relevant discipline. Designs, develops, implements, and updates software systems in accordance with the needs of the organization. Evaluates, schedules, and resources development projects; investigates user needs; and documents, tests, and maintains computer programs. Job Description: We look for developers to have good knowledge of Scala programming skills and Knowledge of SQL Technical Skills: Scala, Python -> Scala is often used for Hadoop-based projects, while Python and Scala are choices for Apache Spark-based projects. SQL -> Knowledge of SQL (Structured Query Language) is important for querying and manipulating data Shell Script -> Shell scripts are used for batch processing of data, it can be used for scheduling the jobs and shell scripts are often used for deploying applications Spark Scala -> Spark Scala allows you to write Spark applications using the Spark API in Scala Spark SQL -> It allows to work with structured data using SQL-like queries and Data Frame APIs. We can execute SQL queries against Data Frames, enabling easy data exploration, transformation, and analysis. The typical tasks and responsibilities of a Big Data Developer include: 1. Data Ingestion: Collecting and importing data from various sources, such as databases, logs, APIs into the Big Data infrastructure. 2. Data Processing: Designing data pipelines to clean, transform, and prepare raw data for analysis. This often involves using technologies like Apache Hadoop, Apache Spark. 3. Data Storage: Selecting appropriate data storage technologies like Hadoop Distributed File System (HDFS), HIVE, IMPALA, or cloud-based storage solutions (Snowflake, Databricks).

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300075 Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 6-9 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300079 Show more Show less

Job description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role you will be Design and Develop ETL Processes: Lead the design and implementation of ETL processes using all kinds of batch/streaming tools to extract, transform, and load data from various sources into GCP. Collaborate with stakeholders to gather requirements and ensure that ETL solutions meet business needs. Data Pipeline Optimization: Optimize data pipelines for performance, scalability, and reliability, ensuring efficient data processing workflows. Monitor and troubleshoot ETL processes, proactively addressing issues and bottlenecks. Data Integration and Management: Integrate data from diverse sources, including databases, APIs, and flat files, ensuring data quality and consistency. Manage and maintain data storage solutions in GCP (e.g., BigQuery, Cloud Storage) to support analytics and reporting. GCP Dataflow Development: Write Apache Beam based Dataflow Job for data extraction, transformation, and analysis, ensuring optimal performance and accuracy. Collaborate with data analysts and data scientists to prepare data for analysis and reporting. Automation and Monitoring: Implement automation for ETL workflows using tools like Apache Airflow or Cloud Composer, enhancing efficiency and reducing manual intervention. Set up monitoring and alerting mechanisms to ensure the health of data pipelines and compliance with SLAs. Data Governance and Security: Apply best practices for data governance, ensuring compliance with industry regulations (e.g., GDPR, HIPAA) and internal policies. Collaborate with security teams to implement data protection measures and address vulnerabilities. Documentation and Knowledge Sharing: Document ETL processes, data models, and architecture to facilitate knowledge sharing and onboarding of new team members. Conduct training sessions and workshops to share expertise and promote best practices within the team. Requirements To be successful in this role, you should meet the following requirements: Education: Bachelor’s degree in Computer Science, Information Systems, or a related field. Experience: Minimum of 5 years of industry experience in data engineering or ETL development, with a strong focus on Data Stage and GCP. Proven experience in designing and managing ETL solutions, including data modeling, data warehousing, and SQL development. Technical Skills: Strong knowledge of GCP services (e.g., BigQuery, Dataflow, Cloud Storage, Pub/Sub) and their application in data engineering. Experience of cloud-based solutions, especially in GCP, cloud certified candidate is preferred. Experience and knowledge of Bigdata data processing in batch mode and streaming mode, proficient in Bigdata eco systems, e.g. Hadoop, HBase, Hive, MapReduce, Kafka, Flink, Spark, etc. Familiarity with Java & Python for data manipulation on Cloud/Bigdata platform. Analytical Skills:Strong problem-solving skills with a keen attention to detail. Ability to analyze complex data sets and derive meaningful insights. Benefits:Competitive salary and comprehensive benefits package. Opportunity to work in a dynamic and collaborative environment on cutting-edge data projects. Professional development opportunities to enhance your skills and advance your career. If you are a passionate data engineer with expertise in ETL processes and a desire to make a significant impact within our organization, we encourage you to apply for this exciting opportunity! You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSDI

Labcorp is hiring a Senior Data engineer. This person will be an integrated member of Labcorp Data and Analytics team and work within the IT team. Play a crucial role in designing, developing and maintaining data solutions using Databricks, Fabric, Spark, PySpark and Python. Responsible to review business requests and translate them into technical solution and technical specification. In addition, work with team members to mentor fellow developers to grow their knowledge and expertise. Work in a fast paced and high-volume processing environment, where quality and attention to detail are vital. RESPONSIBILITIES: Design and implement end-to-end data engineering solutions by leveraging the full suite of Databricks, Fabric tools, including data ingestion, transformation, and modeling. Design, develop and maintain end-to-end data pipelines by using spark, ensuring scalability, reliability, and cost optimized solutions. Conduct performance tuning and troubleshooting to identify and resolve any issues. Implement data governance and security best practices, including role-based access control, encryption, and auditing. Work in fast-paced environment and perform effectively in an agile development environment. REQUIREMENTS: 8+ years of experience in designing and implementing data solutions with at least 4+ years of experience in data engineering. Extensive experience with Databricks, Fabric, including a deep understanding of its architecture, data modeling, and real-time analytics. Minimum 6+ years of experience in Spark, PySpark and Python. Must have strong experience in SQL, Spark SQL, data modeling & RDBMS concepts. Strong knowledge of Data Fabric services, particularly Data engineering, Data warehouse, Data factory, and Real- time intelligence. Strong problem-solving skills, with ability to perform multi-tasking. Familiarity with security best practices in cloud environments, Active Directory, encryption, and data privacy compliance. Communicate effectively in both oral and written. Experience in AGILE development, SCRUM and Application Lifecycle Management (ALM). Preference given to current or former Labcorp employees. EDUCATION: Bachelors in engineering, MCA.

Role Description Experience Range: 12+ Years Hiring Locations: Chennai, Trivandrum, Kochi Role Description We are seeking an experienced Data Architect with a robust background in SQL, T-SQL, data modeling, and cloud data solutions to lead the design and implementation of enterprise data strategies. The ideal candidate will have hands-on experience in the Health Payer domain , with a preference for familiarity with FACETS or similar platforms . This role combines deep technical expertise with leadership, innovation, and stakeholder management. Responsibilities Data Architecture & Strategy Design scalable, secure, and high-performance data architectures. Lead development of long-term data strategy and short-term tactical data solutions. Define and implement governance frameworks, metadata accuracy protocols, and regulatory compliance measures. Data Modeling & Optimization Develop logical and physical data models across systems and platforms. Perform gap analysis and align architecture to business and technical goals. Define systems/subsystems that support program goals. Cloud & Infrastructure Deploy and optimize data tools in AWS, Azure, or GCP. Collaborate with DevOps/Cloud teams to ensure performance, scalability, and cost-efficiency. Team Leadership & Mentoring Lead and mentor a team of 15+ engineers. Facilitate onboarding, training, and skill-building. Drive solution architecture best practices. Stakeholder & Project Management Collaborate with business owners, architects, and cross-functional teams. Define NFRs, evaluate trade-offs, and support project estimation and planning. Identify technical risks and develop mitigation strategies. Innovation & Thought Leadership Participate in technical forums and share knowledge across teams. Explore new tools and frameworks, and contribute to IP/reusable components. Lead PoC development and beta testing of new service offerings. Operational Excellence Automate and optimize data workflows. Document and track architectural decisions. Evaluate solutions through audits and performance metrics. Mandatory Skills 12+ years in IT with at least 3 years as a Data Architect. Expert-level in SQL, T-SQL, and relational database systems. 3+ years of hands-on data modeling and database design. Strong understanding of ETL processes, data governance, and data integration frameworks. Experience in cloud platforms: AWS, Azure, or GCP. Knowledge of data warehouse, Hadoop, data analytics, and transformation tools. Certification in Big Data/Architect track (AWS/Azure/GCP). Good To Have Skills Experience in the Health Payer domain (FACETS preferred). Knowledge of Hadoop technologies (Hive, Pig, MapReduce). Exposure to data visualization, streaming, and NoSQL databases. Proficiency in Python, Java, and tools like PowerPoint, Visio. Experience with UNIX, Windows, and backup/archival software. Soft Skills Strong analytical and problem-solving abilities. Creativity in solution development. Attention to detail and quality-focused mindset. Excellent communication and stakeholder management skills. High resilience and self-learning capability. Leadership, mentoring, and performance management skills. Skills Solution Architecture,Mysql,Database,Healthcare Show more Show less

Managing Sales of Loan Against Property & Business Loans for the Ameerpet Region. Lead a team of Relationship Managers to generate business through Direct sourcing. Building the Sales and distribution network in the assigned territory. Recruit, train and monitor team members & ensuring quality service delivery. Managing loan process from lead generation till disbursement of the loan. Ensure synergy between sales, credit and operation to ensure the efficiency of business processes

Greetings from Live Connections !! 😊 🌟 Live Connections Placements Pvt. Ltd. or LiveC as we are popularly known as, is a 26+ year-old search and recruitment organization that specializes in finding and placing professionals across several sectors around the globe. We bring to the table a cumulative recruitment experience built over two decades. 🔗Follow for more https://in.linkedin.com/company/live-connections 🏢 About Client: We are hiring for one of the Global advertising and digital marketing agency headquartered in Tokyo, Japan. One of the largest marketing and communications networks in the world. It offers services in media, creative, data-driven marketing, CXM (Customer Experience Management), and digital transformation. The company operates across 145+ markets and is known for combining innovation with technology to drive brand growth. 🌟 Employment: Full-time 💼 Title : SQL Developer 📍 Work Location: Mumbai (Thane) ✨ Experience: 3-5 years 📅 Mode: Hybrid ⏳Notice Period: Immediate to 15 days Max ONLY (Currently Serving or Immediate only) 💸 Budget: Max 17-18 LPA (Case to Case basis) ⭐ FACE TO FACE INTERVIEW on 12th & 13th June ⭐ Required Experience: Proficiency in SQL and Hive, Adobe ,Spark, Query and Joints (Must). Proven experience as a Data Engineer (ETL, data warehousing) (Must). Strong knowledge of Hadoop and its ecosystem (HDFS, YARN, MapReduce, Tez and spark). Expertise in full and incremental data loading techniques. 👉 Aᴘᴘʟʏ ɴᴏᴡ ᴏʀ ᴛᴀɢ sᴏᴍᴇᴏɴᴇ ᴡʜᴏ'ᴅ ʙᴇ ᴀɴ ɪᴅᴇᴀʟ ꜰɪᴛ ! share your Latest CV to mailto:prashanth@livecjobs.com ✉ Do share references and Please share our contact with friends/colleagues who are looking out for a change, maybe we can help them in finding one. Wish you All the Best !! 👍 Show more Show less

About Us Lemma Technologies is a software start-up company based in Baner Pune. We are unleashing the power of programmatic AdTech to the DOOH ( Digital out of home ) world. Our Mission is to Transform Digital Out Of Home media to connect Brands with their Consumer by Establishing Authentic and Transparent Standards. Innovation is our DNA and Transparency is our RNA We are Revolutionising the DOOH industry. As an organisation, we successfully deliver brand stories seamlessly across all large format digital screens from DOOH to CTV and even on mobile and desktop devices. We are focussed on connecting DOOH media to mainstream digital, enabling brands to deploy omni-digital strategies through our platform. Roles & Responsibilities Chief Data Scientist /Architect of Lemma Technologies. This role will be responsible to define and execute the technical strategy for adoption of modern AI / ML practices to acquire, process data and provide actional insights to Lemma customers. Good understanding of the entire journey of Data acquisition, Data warehouse, Information Architecture, Dashboard, Reports, Predictive Insights, Adoption of AI / ML and NLP and provide innovative data oriented insights for Lemma customers Deep understanding of Data science and Technology and can recommend adoption of right technical tools and strategies. Expected to be hands on technical expert who will build and guide a technical data team Build, design and implement our highly scalable, fault-tolerant, highly available big data platform to process terabytes of data and provid customers with in-depth analytics. Deep data science and AI/ML hands-on experience to give actionable insights to advertisers/ customers of Lemma Good overview of modern technology stack such as Spark, Hadoop, Kafka, HBase, Hive, Presto etc. Automate high-volume data collection and processing to provide real time data analytics. Customize Lemmas reporting and analytics platform based on customers requirements from customers and deliver scalable, production-ready solutions. Lead multiple projects to develop features for data processing and reporting platform, collaborate with product managers, cross-functional teams, other stakeholders and ensure successful delivery of projects. Leveraging a broad range of Lemmas data architecture strategies and proposing both data flows and storage solutions. Managing Hadoop map reduce and spark jobs & solving any ongoing issues with operating the cluster. Working closely with cross functional teams on improving availability and scalability of large data platform and functionality of Lemma software. Participate in Agile/Scrum processes such as sprint planning, sprint retrospective, backlog grooming, user story management, work item prioritization, etc.. Skills Required 10 to 12+ years of proven experience in designing, implementing, and delivering complex, scalable, and resilient platform and services. Experience in building AI, machine learning, Data Analytics Experience in OLAP (Snowflake, Vertica or similar) would be an added advantage. Ability to understand vague business problems and convert into working solutions. Excellent spoken and written interpersonal skills with a collaborative approach. Dedication to developing high-quality software and products. Curiosity to explore and understand data is a strong plus Deep understanding of Big-Data and distributed systems (MapReduce, Spark, Hive, Kafka, Oozie, Airflow) (ref:hirist.tech) Show more Show less

Job Description Key Responsibilities : Design and develop interactive dashboards, reports, and visualizations using Power BI to drive critical business insights. Write complex SQL queries, stored procedures, and functions to effectively extract, transform, and load (ETL) data from various sources. Optimize and maintain SQL databases, ensuring data integrity, performance, and reliability. Develop robust data models and implement sophisticated DAX calculations in Power BI for advanced analytics. Integrate Power BI with diverse data sources, including various databases, cloud storage solutions, and APIs. Work closely with business stakeholders to meticulously gather requirements and translate them into actionable Business Intelligence solutions. Troubleshoot performance issues related to Power BI dashboards and SQL queries, ensuring optimal system performance. Stay updated with the latest trends and advancements in Power BI, SQL, and the broader field of data analytics. All About You Hands-on experience managing technology projects with demonstrated ability to understand complex data and technology initiatives Ability to lead and influence others to advance deliverables Understanding of emerging technologies including but not limited to, cloud architecture, machine learning/AI and Big Data infrastructure Data architecture experience and experience in building data models. Experience deploying and working with big data technologies like Hadoop, Spark, and Sqoop. Experience with streaming frameworks like Kafka and Axon and pipelines like Nifi, Proficient in OO programming (Python Java/Springboot/J2EE, and Scala) Experience with the Hadoop Ecosystem (HDFS, Yarn, MapReduce, Spark, Hive, Impala), Experience with Linux, Unix command line, Unix Shell Scripting, SQL and any Scripting language Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus. Experience presenting data findings in a readable and insight driven format. Experience building support decks. (ref:hirist.tech) Show more Show less

Spark Architecture , Spark tuning, Delta tables, Madelaine architecture, data Bricks , Azure cloud services python Oops concept, Pyspark complex transformation , Read data from different file format and sources writing to delta tables Dataware housing concepts How to process large files and handle pipeline failures in current projects Roles and Responsibilities Spark Architecture , Spark tuning, Delta tables, Madelaine architecture, data Bricks , Azure cloud services python Oops concept, Pyspark complex transformation , Read data from different file format and sources writing to delta tables Dataware housing concepts How to process large files and handle pipeline failures in current projects

Job Summary Engineering Tools and Services organization responsible in bringing efficiency and consistency in the way we automate, execute, triage tests and report results. We support the core ONTAP product team supporting more than 2500 engineers. About the Team Software Tools and Build Systems Engineer with developing and supporting software builds, Build operations or software tools in a UNIX environment. In this position you will work as part of the team developing and enhancing NetApp’s Best-in-Class build system, driving improvements in the development environment and improved development productivity by improving the tools, build architecture and processes. Job Responsibilities and Requirements • Build and maintain software versions regularly for multiple platforms like AWS, GCP, Azure, and IBM, ensuring timely updates and releases. • Create and use tools to automate repetitive tasks, making processes faster and more reliable. • Monitor systems to ensure they are running smoothly, identifying and fixing issues before they become problems. • Respond to and resolve technical issues quickly to minimize disruptions. • Work closely with different teams to ensure projects and product releases are completed on schedule. Technical Skills • Strong Programming skills Go/ Perl/Python. • Familiarity with OO design, Web development, and Cloud APIs • Experience in Linux Environment with containers ( Docker & Kubernetes) • Familiarity with Agile concepts , Continous Integration and Continous Delivery • Creative analytical approach to problem solving. Education • A minimum of 4 years of experience is required. 5-8 years of experience is preferred. • A Bachelor of Science Degree in Electrical Engineering or Computer Science, or a Master Degree; or equivalent experience is required.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. ML Ops Engineer (Senior Consultant) Key Responsibilities: Lead the design, implementation, and maintenance of scalable ML infrastructure. Collaborate with data scientists to deploy, monitor, and optimize machine learning models. Automate complex data processing workflows and ensure data quality. Optimize and manage cloud resources for cost-effective operations. Develop and maintain robust CI/CD pipelines for ML models. Troubleshoot and resolve advanced issues related to ML infrastructure and deployments. Mentor and guide junior team members, fostering a culture of continuous learning. Work closely with cross-functional teams to understand requirements and deliver innovative solutions. Drive best practices and standards for ML Ops within the organization. Required Skills and Experience: Minimum 5 years of experience in infrastructure engineering. Proficiency in using EMR (Elastic MapReduce) for large-scale data processing. Extensive experience with SageMaker, ECR, S3, Lamba functions, Cloud capabilities and deployment of ML models. Strong proficiency in Python scripting and other programming languages. Experience with CI/CD tools and practices. Solid understanding of the machine learning lifecycle and best practices. Strong problem-solving skills and attention to detail. Excellent communication skills and ability to work collaboratively in a team environment. Demonstrated ability to take ownership and drive projects to completion. Proven experience in leading and mentoring teams. Beneficial Skills and Experience: Experience with containerization and orchestration tools (Docker, Kubernetes). Familiarity with data visualization tools and techniques. Knowledge of big data technologies (Spark, Hadoop). Experience with version control systems (Git). Understanding of data governance and security best practices. Experience with monitoring and logging tools (Prometheus, Grafana). Stakeholder management skills and ability to communicate technical concepts to non-technical audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. ML Ops Engineer (Senior Consultant) Key Responsibilities: Lead the design, implementation, and maintenance of scalable ML infrastructure. Collaborate with data scientists to deploy, monitor, and optimize machine learning models. Automate complex data processing workflows and ensure data quality. Optimize and manage cloud resources for cost-effective operations. Develop and maintain robust CI/CD pipelines for ML models. Troubleshoot and resolve advanced issues related to ML infrastructure and deployments. Mentor and guide junior team members, fostering a culture of continuous learning. Work closely with cross-functional teams to understand requirements and deliver innovative solutions. Drive best practices and standards for ML Ops within the organization. Required Skills and Experience: Minimum 5 years of experience in infrastructure engineering. Proficiency in using EMR (Elastic MapReduce) for large-scale data processing. Extensive experience with SageMaker, ECR, S3, Lamba functions, Cloud capabilities and deployment of ML models. Strong proficiency in Python scripting and other programming languages. Experience with CI/CD tools and practices. Solid understanding of the machine learning lifecycle and best practices. Strong problem-solving skills and attention to detail. Excellent communication skills and ability to work collaboratively in a team environment. Demonstrated ability to take ownership and drive projects to completion. Proven experience in leading and mentoring teams. Beneficial Skills and Experience: Experience with containerization and orchestration tools (Docker, Kubernetes). Familiarity with data visualization tools and techniques. Knowledge of big data technologies (Spark, Hadoop). Experience with version control systems (Git). Understanding of data governance and security best practices. Experience with monitoring and logging tools (Prometheus, Grafana). Stakeholder management skills and ability to communicate technical concepts to non-technical audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Hiring Big Data Lead with 8+ years experience for US Shift time: Must Have: - Big Data: Spark, Hadoop, Kafka, Hive, Flink - Backend: Python, Scala - NoSQL: MongoDB, Cassandra - Cloud: AWS/AZURE/GCP, Snowflake, Databricks - Docker, Kubernetes, CI/CD Required Candidate profile - Excellent in Mentoring/ Training in Big Data- HDFS, YARN, Airflow, Hive, Mapreduce, Hbase, Kafka & ETL/ELT, real-time streaming, data modeling - Immediate Joiner is plus - Excellent in Communication

We are looking for skilled Hadoop and Google Cloud Platform (GCP) Engineers to join our dynamic team. If you have hands-on experience with Big Data technologies and cloud ecosystems, we want to hear from you! Key Skills: Hadoop Ecosystem (HDFS, MapReduce, YARN, Hive, Spark) Google Cloud Platform (BigQuery, DataProc, Cloud Composer) Data Ingestion & ETL pipelines Strong programming skills (Java, Python, Scala) Experience with real-time data processing (Kafka, Spark Streaming) Why Join Us? Work on cutting-edge Big Data projects Collaborate with a passionate and innovative team Opportunities for growth and learning Interested candidates, please share your updated resume or connect with us directly!

9 - 12 Years 1 Opening Trivandrum Role description Role Proficiency: Leverage expertise in a technology area (e.g. Infromatica Transformation Terradata data warehouse Hadoop Analytics) Responsible for Architecture for a small/mid-size projects. Outcomes: Implement either data extract and transformation a data warehouse (ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse) data analysis solution data reporting solutions or cloud data tools in any one of the cloud providers(AWS/AZURE/GCP) Understand business workflows and related data flows. Develop design for data acquisitions and data transformation or data modelling; applying business intelligence on data or design data fetching and dashboards Design information structure work-and dataflow navigation. Define backup recovery and security specifications Enforce and maintain naming standards and data dictionary for data models Provide or guide team to perform estimates Help team to develop proof of concepts (POC) and solution relevant to customer problems. Able to trouble shoot problems while developing POCs Architect/Big Data Speciality Certification in (AWS/AZURE/GCP/General for example Coursera or similar learning platform/Any ML) Measures of Outcomes: Percentage of billable time spent in a year for developing and implementing data transformation or data storage Number of best practices documented in any new tool and technology emerging in the market Number of associates trained on the data service practice Outputs Expected: Strategy & Planning: Create or contribute short-term tactical solutions to achieve long-term objectives and an overall data management roadmap Implement methods and procedures for tracking data quality completeness redundancy and improvement Ensure that data strategies and architectures meet regulatory compliance requirements Begin engaging external stakeholders including standards organizations regulatory bodies operators and scientific research communities or attend conferences with respect to data in cloud Operational Management : Help Architects to establish governance stewardship and frameworks for managing data across the organization Provide support in implementing the appropriate tools software applications and systems to support data technology goals Collaborate with project managers and business teams for all projects involving enterprise data Analyse data-related issues with systems integration compatibility and multi-platform integration Project Control and Review : Provide advice to teams facing complex technical issues in the course of project delivery Define and measure project and program specific architectural and technology quality metrics Knowledge Management & Capability Development : Publish and maintain a repository of solutions best practices and standards and other knowledge articles for data management Conduct and facilitate knowledge sharing and learning sessions across the team Gain industry standard certifications on technology or area of expertise Support technical skill building (including hiring and training) for the team based on inputs from project manager /RTE’s Mentor new members in the team in technical areas Gain and cultivate domain expertise to provide best and optimized solution to customer (delivery) Requirement gathering and Analysis: Work with customer business owners and other teams to collect analyze and understand the requirements including NFRs/define NFRs Analyze gaps/ trade-offs based on current system context and industry practices; clarify the requirements by working with the customer Define the systems and sub-systems that define the programs People Management: Set goals and manage performance of team engineers Provide career guidance to technical specialists and mentor them Alliance Management: Identify alliance partners based on the understanding of service offerings and client requirements In collaboration with Architect create a compelling business case around the offerings Conduct beta testing of the offerings and relevance to program Technology Consulting: In collaboration with Architects II and III analyze the application and technology landscapers process and tolls to arrive at the architecture options best fit for the client program Analyze Cost Vs Benefits of solution options Support Architects II and III to create a technology/ architecture roadmap for the client Define Architecture strategy for the program Innovation and Thought Leadership: Participate in internal and external forums (seminars paper presentation etc) Understand clients existing business at the program level and explore new avenues to save cost and bring process efficiency Identify business opportunities to create reusable components/accelerators and reuse existing components and best practices Project Management Support: Assist the PM/Scrum Master/Program Manager to identify technical risks and come-up with mitigation strategies Stakeholder Management: Monitor the concerns of internal stakeholders like Product Managers & RTE’s and external stakeholders like client architects on Architecture aspects. Follow through on commitments to achieve timely resolution of issues Conduct initiatives to meet client expectations Work to expand professional network in the client organization at team and program levels New Service Design: Identify potential opportunities for new service offerings based on customer voice/ partner inputs Conduct beta testing / POC as applicable Develop collaterals guides for GTM Skill Examples: Use data services knowledge creating POC to meet a business requirements; contextualize the solution to the industry under guidance of Architects Use technology knowledge to create Proof of Concept (POC) / (reusable) assets under the guidance of the specialist. Apply best practices in own area of work helping with performance troubleshooting and other complex troubleshooting. Define decide and defend the technology choices made review solution under guidance Use knowledge of technology t rends to provide inputs on potential areas of opportunity for UST Use independent knowledge of Design Patterns Tools and Principles to create high level design for the given requirements. Evaluate multiple design options and choose the appropriate options for best possible trade-offs. Conduct knowledge sessions to enhance team's design capabilities. Review the low and high level design created by Specialists for efficiency (consumption of hardware memory and memory leaks etc.) Use knowledge of Software Development Process Tools & Techniques to identify and assess incremental improvements for software development process methodology and tools. Take technical responsibility for all stages in the software development process. Conduct optimal coding with clear understanding of memory leakage and related impact. Implement global standards and guidelines relevant to programming and development come up with 'points of view' and new technological ideas Use knowledge of Project Management & Agile Tools and Techniques to support plan and manage medium size projects/programs as defined within UST; identifying risks and mitigation strategies Use knowledge of Project Metrics to understand relevance in project. Collect and collate project metrics and share with the relevant stakeholders Use knowledge of Estimation and Resource Planning to create estimate and plan resources for specific modules or small projects with detailed requirements or user stories in place Strong proficiencies in understanding data workflows and dataflow Attention to details High analytical capabilities Knowledge Examples: Data visualization Data migration RDMSs (relational database management systems SQL Hadoop technologies like MapReduce Hive and Pig. Programming languages especially Python and Java Operating systems like UNIX and MS Windows. Backup/archival software. Additional Comments: Snowflake Architect Key Responsibilities: • Solution Design: Designing the overall data architecture within Snowflake, including database/schema structures, data flow patterns (ELT/ETL strategies involving Snowflake), and integration points with other systems (source systems, BI tools, data science platforms). • Data Modeling: Designing efficient and scalable physical data models within Snowflake. Defining table structures, distribution/clustering keys, data types, and constraints to optimize storage and query performance. • Security Architecture: Designing the overall security framework, including the RBAC strategy, data masking policies, encryption standards, and how Snowflake security integrates with broader enterprise security policies. • Performance and Scalability Strategy: Designing solutions with performance and scalability in mind. Defining warehouse sizing strategies, query optimization patterns, and best practices for development teams. Ensuring the architecture can handle future growth in data volume and user concurrency. • Cost Optimization Strategy: Designing architectures that are inherently cost-effective. Making strategic choices about data storage, warehouse usage patterns, and feature utilization (e.g., when to use materialized views, streams, tasks). • Technology Evaluation and Selection: Evaluating and recommending specific Snowflake features (e.g., Snowpark, Streams, Tasks, External Functions, Snowpipe) and third-party tools (ETL/ELT, BI, governance) that best fit the requirements. • Standards and Governance: Defining best practices, naming conventions, development guidelines, and governance policies for using Snowflake effectively and consistently across the organization. • Roadmap and Strategy: Aligning the Snowflake data architecture with overall business intelligence and data strategy goals. Planning for future enhancements and platform evolution. • Technical Leadership: Providing guidance and mentorship to developers, data engineers, and administrators working with Snowflake. • Key Skills: • Deep understanding of Snowflake's advanced features and architecture. • Strong data warehousing concepts and data modeling expertise. • Solution architecture and system design skills. • Experience with cloud platforms (AWS, Azure, GCP) and how Snowflake integrates. • Expertise in performance tuning principles and techniques at an architectural level. • Strong understanding of data security principles and implementation patterns. • Knowledge of various data integration patterns (ETL, ELT, Streaming). • Excellent communication and presentation skills to articulate designs to technical and non-technical audiences. • Strategic thinking and planning abilities. Looking for 12+ years of experience to join our team. Skills Snowflake,Data modeling,Cloud platforms,Solution architecture 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.

Role Description Role Proficiency: Leverage expertise in a technology area (e.g. Infromatica Transformation Terradata data warehouse Hadoop Analytics) Responsible for Architecture for a small/mid-size projects. Outcomes Implement either data extract and transformation a data warehouse (ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse) data analysis solution data reporting solutions or cloud data tools in any one of the cloud providers(AWS/AZURE/GCP) Understand business workflows and related data flows. Develop design for data acquisitions and data transformation or data modelling; applying business intelligence on data or design data fetching and dashboards Design information structure work-and dataflow navigation. Define backup recovery and security specifications Enforce and maintain naming standards and data dictionary for data models Provide or guide team to perform estimates Help team to develop proof of concepts (POC) and solution relevant to customer problems. Able to trouble shoot problems while developing POCs Architect/Big Data Speciality Certification in (AWS/AZURE/GCP/General for example Coursera or similar learning platform/Any ML) Measures Of Outcomes Percentage of billable time spent in a year for developing and implementing data transformation or data storage Number of best practices documented in any new tool and technology emerging in the market Number of associates trained on the data service practice Outputs Expected Strategy & Planning: Create or contribute short-term tactical solutions to achieve long-term objectives and an overall data management roadmap Implement methods and procedures for tracking data quality completeness redundancy and improvement Ensure that data strategies and architectures meet regulatory compliance requirements Begin engaging external stakeholders including standards organizations regulatory bodies operators and scientific research communities or attend conferences with respect to data in cloud Operational Management Help Architects to establish governance stewardship and frameworks for managing data across the organization Provide support in implementing the appropriate tools software applications and systems to support data technology goals Collaborate with project managers and business teams for all projects involving enterprise data Analyse data-related issues with systems integration compatibility and multi-platform integration Project Control And Review Provide advice to teams facing complex technical issues in the course of project delivery Define and measure project and program specific architectural and technology quality metrics Knowledge Management & Capability Development Publish and maintain a repository of solutions best practices and standards and other knowledge articles for data management Conduct and facilitate knowledge sharing and learning sessions across the team Gain industry standard certifications on technology or area of expertise Support technical skill building (including hiring and training) for the team based on inputs from project manager /RTE’s Mentor new members in the team in technical areas Gain and cultivate domain expertise to provide best and optimized solution to customer (delivery) Requirement Gathering And Analysis Work with customer business owners and other teams to collect analyze and understand the requirements including NFRs/define NFRs Analyze gaps/ trade-offs based on current system context and industry practices; clarify the requirements by working with the customer Define the systems and sub-systems that define the programs People Management Set goals and manage performance of team engineers Provide career guidance to technical specialists and mentor them Alliance Management Identify alliance partners based on the understanding of service offerings and client requirements In collaboration with Architect create a compelling business case around the offerings Conduct beta testing of the offerings and relevance to program Technology Consulting In collaboration with Architects II and III analyze the application and technology landscapers process and tolls to arrive at the architecture options best fit for the client program Analyze Cost Vs Benefits of solution options Support Architects II and III to create a technology/ architecture roadmap for the client Define Architecture strategy for the program Innovation And Thought Leadership Participate in internal and external forums (seminars paper presentation etc) Understand clients existing business at the program level and explore new avenues to save cost and bring process efficiency Identify business opportunities to create reusable components/accelerators and reuse existing components and best practices Project Management Support Assist the PM/Scrum Master/Program Manager to identify technical risks and come-up with mitigation strategies Stakeholder Management Monitor the concerns of internal stakeholders like Product Managers & RTE’s and external stakeholders like client architects on Architecture aspects. Follow through on commitments to achieve timely resolution of issues Conduct initiatives to meet client expectations Work to expand professional network in the client organization at team and program levels New Service Design Identify potential opportunities for new service offerings based on customer voice/ partner inputs Conduct beta testing / POC as applicable Develop collaterals guides for GTM Skill Examples Use data services knowledge creating POC to meet a business requirements; contextualize the solution to the industry under guidance of Architects Use technology knowledge to create Proof of Concept (POC) / (reusable) assets under the guidance of the specialist. Apply best practices in own area of work helping with performance troubleshooting and other complex troubleshooting. Define decide and defend the technology choices made review solution under guidance Use knowledge of technology t rends to provide inputs on potential areas of opportunity for UST Use independent knowledge of Design Patterns Tools and Principles to create high level design for the given requirements. Evaluate multiple design options and choose the appropriate options for best possible trade-offs. Conduct knowledge sessions to enhance team's design capabilities. Review the low and high level design created by Specialists for efficiency (consumption of hardware memory and memory leaks etc.) Use knowledge of Software Development Process Tools & Techniques to identify and assess incremental improvements for software development process methodology and tools. Take technical responsibility for all stages in the software development process. Conduct optimal coding with clear understanding of memory leakage and related impact. Implement global standards and guidelines relevant to programming and development come up with 'points of view' and new technological ideas Use knowledge of Project Management & Agile Tools and Techniques to support plan and manage medium size projects/programs as defined within UST; identifying risks and mitigation strategies Use knowledge of Project Metrics to understand relevance in project. Collect and collate project metrics and share with the relevant stakeholders Use knowledge of Estimation and Resource Planning to create estimate and plan resources for specific modules or small projects with detailed requirements or user stories in place Strong proficiencies in understanding data workflows and dataflow Attention to details High analytical capabilities Knowledge Examples Data visualization Data migration RDMSs (relational database management systems SQL Hadoop technologies like MapReduce Hive and Pig. Programming languages especially Python and Java Operating systems like UNIX and MS Windows. Backup/archival software. Additional Comments Snowflake Architect Key Responsibilities: Solution Design: Designing the overall data architecture within Snowflake, including database/schema structures, data flow patterns (ELT/ETL strategies involving Snowflake), and integration points with other systems (source systems, BI tools, data science platforms). Data Modeling: Designing efficient and scalable physical data models within Snowflake. Defining table structures, distribution/clustering keys, data types, and constraints to optimize storage and query performance. Security Architecture: Designing the overall security framework, including the RBAC strategy, data masking policies, encryption standards, and how Snowflake security integrates with broader enterprise security policies. Performance and Scalability Strategy: Designing solutions with performance and scalability in mind. Defining warehouse sizing strategies, query optimization patterns, and best practices for development teams. Ensuring the architecture can handle future growth in data volume and user concurrency. Cost Optimization Strategy: Designing architectures that are inherently cost-effective. Making strategic choices about data storage, warehouse usage patterns, and feature utilization (e.g., when to use materialized views, streams, tasks). Technology Evaluation and Selection: Evaluating and recommending specific Snowflake features (e.g., Snowpark, Streams, Tasks, External Functions, Snowpipe) and third-party tools (ETL/ELT, BI, governance) that best fit the requirements. Standards and Governance: Defining best practices, naming conventions, development guidelines, and governance policies for using Snowflake effectively and consistently across the organization. Roadmap and Strategy: Aligning the Snowflake data architecture with overall business intelligence and data strategy goals. Planning for future enhancements and platform evolution. Technical Leadership: Providing guidance and mentorship to developers, data engineers, and administrators working with Snowflake. Key Skills: Deep understanding of Snowflake's advanced features and architecture. Strong data warehousing concepts and data modeling expertise. Solution architecture and system design skills. Experience with cloud platforms (AWS, Azure, GCP) and how Snowflake integrates. Expertise in performance tuning principles and techniques at an architectural level. Strong understanding of data security principles and implementation patterns. Knowledge of various data integration patterns (ETL, ELT, Streaming). Excellent communication and presentation skills to articulate designs to technical and non-technical audiences. Strategic thinking and planning abilities. Looking for 12+ years of experience to join our team. Skills Snowflake,Data modeling,Cloud platforms,Solution architecture Show more Show less

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team Roku pioneered TV streaming and continues to innovate and lead the industry. Continued success relies on investing in the Roku Content Platform, so we deliver high quality streaming TV experience at a global scale. As part of our Content Platform team you join a small group of highly skilled engineers, that own significant responsibility in crafting, developing and maintaining our large-scale backend systems, data pipelines, storage, and processing services. We provide all insights in regard to all content on Roku Devices. About the Role We are looking for a Senior Software Engineer with vast experience in backend development, Data Engineering and Data Analytics to focus on building next level content platform and data intelligence, which empowers Search, Recommendation, and many more critical systems across Roku Platform. This is an excellent role for a senior professional who enjoys a high level of visibility, thrives on having a critical business impact, able to make critical decisions and is excited to work on a core data platform component which is crucial for many streaming components at Roku. What You’ll Be Doing Work closely with product management team, content data platform services, and other internal consumer teams to contribute extensively to our content data platform and underlying architecture. Build low-latency and optimized streaming and batch data pipelines to enable downstream services. Build and support our Micro-services based Event-Driven Backend Systems & Data Platform. Design and build data pipelines for batch, near-real-time, and real-time processing. Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects. We’re excited if you have 8+ years professional experience as a Software Engineer. Proficiency in Java/Scala/Python. Deep understanding of backend technologies, architecture patterns, and best practices, including microservices, RESTful APIs, message queues, caching, and databases. Strong analytical and problem-solving skills, data structures and algorithms, with the ability to translate complex technical requirements into scalable and efficient solutions. Experience with Micro-service and event-driven architectures. Experience with Apache Spark and Apache Flink. Experience with Big Data Frameworks and Tools: MapReduce, Hive, Presto, HDFS, YARN, Kafka, etc. Experience with Apache Airflow or similar workflow orchestration tooling for ETL. Experience with cloud platforms: AWS (preferred), GCP, etc. Strong communication and presentation skills. BS in Computer Science; MS in Computer Science preferred. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms. Show more Show less

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. ? Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLA’s defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements ? Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers’ and clients’ business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLA’s ? Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks ? Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: Scala programming. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role _x000D_ Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. ? _x000D_ Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLA’s defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements ? _x000D_ Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers’ and clients’ business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLA’s ? _x000D_ Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks ? _x000D_ Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: Hadoop_x000D_. Experience5-8 Years_x000D_. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Diverse Lynx is looking for Data Engineer to join our dynamic team and embark on a rewarding career journey Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

KC International School is looking for Data Engineer to join our dynamic team and embark on a rewarding career journey Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs. The DE at KC will design, develop and maintain all school data infrastructure ensuring accurate and efficient data management.

Your Profile As a senior software engineer with Capgemini, you will have 3 + years of experience in Scala with strong project track record Hands On experience in Scala/Spark developer Hands on SQL writing skills on RDBMS (DB2) databases Experience in working with different file formats like JSON, Parquet, AVRO, ORC and XML. Must have worked in a HDFS platform development project. Proficiency in data analysis, data profiling, and data lineage Strong oral and written communication skills Experience working in Agile projects. Your Role Work on Hadoop, Spark, Hive &SQL query Ability to perform code optimization for performance, Scalability and configurability Data application development at scale in the Hadoop ecosystem. What youll love about working here ChoosingCapgeminimeans having the opportunity to make a difference, whetherfor the worlds leading businesses or for society. It means getting the support youneed to shape your career in the way that works for you. It means when the futuredoesnt look as bright as youd like, youhave the opportunity tomake changetorewrite it. When you join Capgemini, you dont just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. At Capgemini, people are at the heart of everything we do! You can exponentially grow your career by being part of innovative projects and taking advantage of our extensiveLearning & Developmentprograms. With us, you will experience aninclusive, safe, healthy, andflexiblework environment to bring out the best in you! You also get a chance to make positive social change and build a better world by taking an active role in ourCorporate Social ResponsibilityandSustainabilityinitiatives. And whilst you make a difference, you will also have a lot offun. About Company