916 Sqoop Jobs - Page 2

The position is for an Officer / Assistance Manager based in Mumbai. The ideal candidate should have a qualification of B.E. / MCA / B.Tech / M.sc (I.T.) and an age limit between 25-30 years. You should have a minimum of 2-3 years of ETL development experience with a strong knowledge of ETL ideas, tools, and data structures. It is essential to have the capability to analyze and troubleshoot complex data sets and determine data storage needs. Familiarity with data warehousing concepts to build a data warehouse for internal departments of the organization is required. Your responsibilities will include creating and enhancing data solutions to enable seamless delivery of data, collecting, parsing, managing, and analyzing large sets of data. You will lead the design of the logical data model, implement the physical database structure, and construct and implement operational data stores and data marts. Designing, developing, automating, and supporting complex applications to extract, transform, and load data will be part of your role. You must ensure data quality at the time of ETL, develop logical and physical data flow models for ETL applications, and have advanced knowledge of SQL, Oracle, SQOOP, NIFI tools commands, and queries. Current CTC and Expected CTC should be clearly mentioned. To apply, please email your resume to careers@cdslindia.com with the position applied for in the subject column.,

You will be responsible for big data development and support for production deployed applications, analyzing business and functional requirements for completeness, and developing code with minimum supervision. Working collaboratively with team members, you will ensure accurate and timely communication and delivery of assigned tasks to guarantee the end-products" performance upon release to production. Handling software defects or issues within production timelines and SLA is a key aspect of the role. Your responsibilities will include authoring test cases within a defined testing strategy, participating in test strategy development for Configuration and Custom reports, creating test data, assisting in code merge peer reviews, reporting status and progress to stakeholders, and providing risk assessment throughout development cycles. You should have a strong understanding of system and big data strategies/approaches adopted by IQVIA, stay updated on software applications development industry knowledge, and be open to production support roles within the project. To excel in this role, you should have 5-8 years of overall experience, with at least 2-3 years in Big Data, proficiency in Big Data Technologies such as HDFS, Hive, Pig, Sqoop, HBase, and Oozie, strong experience in SQL Queries and Airflow, familiarity with PSql, CI-CD, Jenkins, and UNIX commands, excellent communication skills, comprehensive skills, good confidence level, proven analytical, logical, and problem-solving techniques. Experience in Spark Application Development, ETL, and ELT tools is preferred. Possessing fine-tuned analytical skills, attention to detail, and the ability to work effectively with colleagues from diverse backgrounds is essential. The minimum educational requirement for this position is a Bachelor's Degree in Information Technology or a related field, along with 5-8 years of development experience or an equivalent combination of education, training, and experience. IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence, facilitating the acceleration of innovative medical treatments" development and commercialization to enhance patient outcomes and population health worldwide. To learn more, visit https://jobs.iqvia.com.,

About The Role : Job Title Technical-Specialist Big Data (PySpark) Developer LocationPune, India Role Description This role is for Engineer who is responsible for design, development, and unit testing software applications. The candidate is expected to ensure good quality, maintainable, scalable, and high performing software applications getting delivered to users in an Agile development environment. Candidate / Applicant should be coming from a strong technological background. The candidate should have goo working experience in Python and Spark technology. Should be hands on and be able to work independently requiring minimal technical/tool guidance. Should be able to technically guide and mentor junior resources in the team. As a developer you will bring extensive design and development skills to enforce the group of developers within the team. The candidate will extensively make use and apply Continuous Integration tools and practices in the context of Deutsche Banks digitalization journey. What well offer you . 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design and discuss your own solution for addressing user stories and tasks. Develop and unit-test, Integrate, deploy, maintain, and improve software. Perform peer code review. Actively participate into the sprint activities and ceremonies e.g., daily stand-up/scrum meeting, Sprint planning, retrospectives, etc. Apply continuous integration best practices in general (SCM, build automation, unit testing, dependency management) Collaborate with other team members to achieve the Sprint objectives. Report progress/update Agile team management tools (JIRA/Confluence) Manage individual task priorities and deliverables. Responsible for quality of solutions candidate / applicant provides. Contribute to planning and continuous improvement activities & support PO, ITAO, Developers and Scrum Master. Your skills and experience Engineer with Good development experience in Big Data platform for at least 5 years. Hands own experience in Spark (Hive, Impala). Hands own experience in Python Programming language. Preferably, experience in BigQuery , Dataproc , Composer , Terraform , GKE , Cloud SQL and Cloud functions. Experience in set-up, maintenance, and ongoing development of continuous build/ integration infrastructure as a part of DevOps. Create and maintain fully automated CI build processes and write build and deployment scripts. Has experience with development platformsOpenShift/ Kubernetes/Docker configuration and deployment with DevOps tools e.g., GIT, TeamCity, Maven, SONAR Good Knowledge about the core SDLC processes and tools such as HP ALM, Jira, Service Now. Strong analytical skills. Proficient communication skills. Fluent in English (written/verbal). Ability to work in virtual teams and in matrixed organizations. Excellent team player. Open minded and willing to learn business and technology. Keeps pace with technical innovation. Understands the relevant business area. Ability to share information, transfer knowledge to expertise the team members. How well support you . . . .

We are looking for a skilled Python Developer with expertise in Machine Learning to join our team at Panacorp Software Solutions. The ideal candidate will have 6 years of experience and a strong background in developing scalable and efficient machine learning models. Roles and Responsibility Design, develop, and deploy machine learning models using Python. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Implement automated testing and deployment scripts. Troubleshoot and resolve technical issues related to machine learning models. Stay updated with industry trends and advancements in machine learning. Job Requirements Strong proficiency in Python programming language. Experience with machine learning frameworks such as TensorFlow or PyTorch. Knowledge of deep learning techniques and their applications. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of data integration processes and tools.- Experience with data warehousing concepts and practices.- Familiarity with ETL processes and data pipeline development.- Ability to work with various database management systems. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Scala, PySparkMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in shaping the direction of application projects and ensuring that they meet the needs of the organization and its clients. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with PySpark, Scala.- Strong understanding of data engineering principles and practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance and compliance standards. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Candidate Specifications: Candidate should have 9+ years of experience. Candidates should have 9+ years of experience in Python and Pyspark Candidate should have strong experience in AWS and PLSQL. Candidates should be strong in Data management with data governance and data streaming along with data lakes and data-warehouse Candidates should also have exposure in Team handling and stakeholder management skills. Candidate should have excellent in written and verbal communication skills. Contact Person: Sheena Rakesh

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your Role And Responsibilities As an Associate Software Developer at IBM, you'll work with clients to co-create solutions to major real-world challenges by using best practice technologies, tools,techniques, and products to translate system requirements into the design anddevelopment of customized systems Preferred Education Master's Degree Required Technical And Professional Expertise Strong proficiency in Java, Spring Framework, Spring boot, RESTful APIs, excellent understanding of OOP, Design Patterns. Strong knowledge of ORM tools like Hibernate or JPA, Java based Micro-services framework, Hands on experience on Spring boot Microservices, Primary Skills: - Core Java, Spring Boot, Java2/EE, Microservices- Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc)- Spark Good to have Python. Strong knowledge of micro-service logging, monitoring, debugging and testing, In-depth knowledge of relational databases (e.g., MySQL) Experience in container platforms such as Docker and Kubernetes, experience in messaging platforms such as Kafka or IBM MQ, good understanding of Test-Driven-Development Familiar with Ant, Maven or other build automation for Java, Springboot, API, Microservices, Security Preferred Technical And Professional Experience Experience in Concurrent design and multi-threading Primary Skills: - Core Java, Spring Boot, Java2/EE, Microservices - Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc) - Spark Good to have Python.

Job Description: Hadoop & ETL Developer Location: Shastri Park, Delhi Experience: 3+ years Education: B.E./ B.Tech/ MCA/ MSC (IT or CS) / MS Salary: Upto 80k (rest depends on interview and the experience) Notice Period: Immediate joiner to 20 days of joiners Candidates from Delhi/ NCR will only be preferred Job Summary:- We are looking for a Hadoop & ETL Developer with strong expertise in big data processing, ETL pipelines, and workflow automation. The ideal candidate will have hands-on experience in the Hadoop ecosystem, including HDFS, MapReduce, Hive, Spark, HBase, and PySpark, as well as expertise in real-time data streaming and workflow orchestration. This role requires proficiency in designing and optimizing large-scale data pipelines to support enterprise data processing needs. Key Responsibilities Design, develop, and optimize ETL pipelines leveraging Hadoop ecosystem technologies. Work extensively with HDFS, MapReduce, Hive, Sqoop, Spark, HBase, and PySpark for data processing and transformation. Implement real-time and batch data ingestion using Apache NiFi, Kafka, and Airbyte. Develop and manage workflow orchestration using Apache Airflow. Perform data integration across structured and unstructured data sources, including MongoDB and Hadoop-based storage. Optimize MapReduce and Spark jobs for performance, scalability, and efficiency. Ensure data quality, governance, and consistency across the pipeline. Collaborate with data engineering teams to build scalable and high-performance data solutions. Monitor, debug, and enhance big data workflows to improve reliability and efficiency. Required Skills & Experience : 3+ years of experience in Hadoop ecosystem (HDFS, MapReduce, Hive, Sqoop, Spark, HBase, PySpark). Strong expertise in ETL processes, data transformation, and data warehousing. Hands-on experience with Apache NiFi, Kafka, Airflow, and Airbyte. Proficiency in SQL and handling structured and unstructured data. Experience with NoSQL databases like MongoDB. Strong programming skills in Python or Scala for scripting and automation. Experience in optimizing Spark and MapReduce jobs for high-performance computing. Good understanding of data lake architectures and big data best practices. Preferred Qualifications Experience in real-time data streaming and processing. Familiarity with Docker/Kubernetes for deployment and orchestration. Strong analytical and problem-solving skills with the ability to debug and optimize data workflows. If you have a passion for big data, ETL, and large-scale data processing, we’d love to hear from you! Job Types: Full-time, Contractual / Temporary Pay: From ₹400,000.00 per year Work Location: In person

Job Description: Hadoop & ETL Developer Location: Shastri Park, Delhi Experience: 3+ years Education: B.E./ B.Tech/ MCA/ MSC (IT or CS) / MS Salary: Upto 80k (rest depends on interview and the experience) Notice Period: Immediate joiner to 20 days of joiners Candidates from Delhi/ NCR will only be preferred Job Summary:- We are looking for a Hadoop & ETL Developer with strong expertise in big data processing, ETL pipelines, and workflow automation. The ideal candidate will have hands-on experience in the Hadoop ecosystem, including HDFS, MapReduce, Hive, Spark, HBase, and PySpark, as well as expertise in real-time data streaming and workflow orchestration. This role requires proficiency in designing and optimizing large-scale data pipelines to support enterprise data processing needs. Key Responsibilities Design, develop, and optimize ETL pipelines leveraging Hadoop ecosystem technologies. Work extensively with HDFS, MapReduce, Hive, Sqoop, Spark, HBase, and PySpark for data processing and transformation. Implement real-time and batch data ingestion using Apache NiFi, Kafka, and Airbyte. Develop and manage workflow orchestration using Apache Airflow. Perform data integration across structured and unstructured data sources, including MongoDB and Hadoop-based storage. Optimize MapReduce and Spark jobs for performance, scalability, and efficiency. Ensure data quality, governance, and consistency across the pipeline. Collaborate with data engineering teams to build scalable and high-performance data solutions. Monitor, debug, and enhance big data workflows to improve reliability and efficiency. Required Skills & Experience : 3+ years of experience in Hadoop ecosystem (HDFS, MapReduce, Hive, Sqoop, Spark, HBase, PySpark). Strong expertise in ETL processes, data transformation, and data warehousing. Hands-on experience with Apache NiFi, Kafka, Airflow, and Airbyte. Proficiency in SQL and handling structured and unstructured data. Experience with NoSQL databases like MongoDB. Strong programming skills in Python or Scala for scripting and automation. Experience in optimizing Spark and MapReduce jobs for high-performance computing. Good understanding of data lake architectures and big data best practices. Preferred Qualifications Experience in real-time data streaming and processing. Familiarity with Docker/Kubernetes for deployment and orchestration. Strong analytical and problem-solving skills with the ability to debug and optimize data workflows. If you have a passion for big data, ETL, and large-scale data processing, we’d love to hear from you! Job Types: Full-time, Contractual / Temporary Pay: From ₹400,000.00 per year Work Location: In person

Rapid7 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.

Bachelor s or master s degree in computer science, Data Science, Engineering, or a related field. EsyCommerce is seeking a highly experienced Data Engineer to join our growing team in either Mumbai or Pune. This role requires a strong foundation in data engineering principles, coupled with experience in application development and data science techniques. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and applications, as well as leveraging analytical skills to transform data into valuable insights. This position calls for a blend of technical expertise, problem-solving abilities, and effective communication skills to drive data-driven solutions that meet business objectives.

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems Apply fundamental knowledge of programming languages for design specifications. Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging Serve as advisor or coach to new or lower level analysts Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 5+ years of Proven experience in developing and managing Big data solutions using Apache Spark, Scala is must. Having strong hold on Spark-core, Spark-SQL & Spark Streaming Strong programming skills in Scala, Java, or Python. Hands on experience on Technologies like Apache Hive, Apache Kafka, HBase, Couchbase, Sqoop, Flume etc. Proficiency in SQL and experience with relational (Oracle/PL-SQL) . Experience in working on Kafka, JMS / MQ applications. Experience in working multiple OS (Unix, Linux, Win) Familiarity with data warehousing concepts and ETL processes. Experience in performance tuning of large technical solutions with significant volumes Knowledge of data modeling, data architecture, and data integration techniques. Knowledge on best practices for data security, privacy, and compliance. Experience with JAVA (Core Java, J2EE, Spring Boot Restful Services), Web services (REST, SOAP), XML, Java Script, Micro services, SOA etc. Strong technical knowledge of Apache Spark, Hive, SQL, and Hadoop ecosystem. Experience with developing frameworks and utility services including logging/monitoring. Experience delivering high quality software following continuous delivery and using code quality tools (JIRA, GitHub, Jenkin, Sonar, etc.). Experience creating large-scale, multi-tiered, distributed applications with Hadoop and Spark Profound knowledge implementing to different data storage solutions such as RDMBS(Oracle), Hive, HBase, Impala and NO SQL databases. Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ 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.

About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 12 of the 30 most innovative global companies, 60% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum by reporting $1,409.1M revenue in FY25, delivering 18.8% Y-o-Y growth. Our 23,900+ global team members, located in 19 countries, have been instrumental in helping the market leaders transform their industries. We are also pleased to share that Persistent won in four categories at the prestigious 2024 ISG Star of Excellence™ Awards , including the Overall Award based on the voice of the customer. We were included in the Dow Jones Sustainability World Index, setting high standards in sustainability and corporate responsibility. We were awarded for our state-of-the-art learning and development initiatives at the 16 th TISS LeapVault CLO Awards. In addition, we were cited as the fastest-growing IT services brand in the 2024 Brand Finance India 100 Report. Throughout our market-leading growth, we’ve maintained a strong employee satisfaction score of 8.2/10. At Persistent, we embrace diversity to unlock everyone's potential. Our programs empower our workforce by harnessing varied backgrounds for creative, innovative problem-solving. Our inclusive environment fosters belonging, encouraging employees to unleash their full potential. For more details please login to www.persistent.com About The Position We are looking for a Big Data Lead who will be responsible for the management of data sets that are too big for traditional database systems to handle. You will create, design, and implement data processing jobs in order to transform the data into a more usable format. You will also ensure that the data is secure and complies with industry standards to protect the company?s information. What You?ll Do Manage customer's priorities of projects and requests Assess customer needs utilizing a structured requirements process (gathering, analyzing, documenting, and managing changes) to prioritize immediate business needs and advising on options, risks and cost Design and implement software products (Big Data related) including data models and visualizations Demonstrate participation with the teams you work in Deliver good solutions against tight timescales Be pro-active, suggest new approaches and develop your capabilities Share what you are good at while learning from others to improve the team overall Show that you have a certain level of understanding for a number of technical skills, attitudes and behaviors Deliver great solutions Be focused on driving value back into the business Expertise You?ll Bring 6 years' experience in designing & developing enterprise application solution for distributed systems Understanding of Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume) Additional experience working with Hadoop, HDFS, cluster management Hive, Pig and MapReduce, and Hadoop ecosystem framework HBase, Talend, NoSQL databases Apache Spark or other streaming Big Data processing, preferred Java or Big Data technologies, will be a plus Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. Inclusive Environment We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent - persistent.com/careers

Build ETL jobs using Fivetran and dbt for our internal projects and for customers that use various platforms like Azure, Salesforce and AWS technologies Build out data lineage artifacts to ensure all current and future systems are properly documented Required Candidate profile exp with a strong proficiency with SQL query/development skills Develop ETL routines that manipulate & transfer large volumes of data and perform quality checks Exp in healthcare industry with PHI/PII

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* The Data Analytics Strategy platform and decision tool team is responsible for Data strategy for entire CSWT and development of platforms which supports the Data Strategy. Data Science platform, Graph Data Platform, Enterprise Events Hub are key platforms of Data Platform initiative. Job Description* As a Senior Hadoop Developer to develop Hadoop components in SDP (strategic data platform), individual will be responsible for understanding design, propose high level and detailed design solutions, and ensure that coding practices/quality comply with software development standards. Working as an individual contributor in projects, person should have good analytical skills to take a quick decision during the tough times, Person should have good knowledge writing complex queries in a larger cluster. Engage in discussions with architecture teams for coming out with design solutions, proposing new technology adoption ideas, attending project meetings, partnering with near shore and offshore teammates in an agile environment, coordinating with other application teams, development, testing, upstream and downstream partners, etc. Responsibilities: Develop high-performance and scalable Analytics solutions using the Big Data platform to facilitate the collection, storage, and analysis of massive data sets from multiple channels. Develop efficient utilities, data pipelines, ingestion frameworks that can be utilized across multiple business areas. Utilize your in-depth knowledge of Hadoop stack and storage technologies, including HDFS, Spark, MapReduce, Yarn, Hive, Sqoop, Impala, Hue, and Oozie, to design and optimize data processing workflows. Data analysis, coding, Performance Tunning, propose improvement ideas, drive the development activities at offshore. Analyze complex Hive Queries, able to modify Hive queries, tune Hive Queries Hands on experiences writing scripts in python/shell scripts and modify scripts. Provide guidance and mentorship to junior teammates. Work with the strategic partners to understand the requirements work on high level & detailed design to address the real time issues in production. Partnering with near shore and offshore teammates in Agile environment, coordinating with other application teams, development, testing, up/down stream partners, etc. Hands on experiences writing scripts in python/shell scripts and modify scripts. Work on multiple projects concurrently, take ownership & pride in the work done by them, attending project meetings, understanding requirements, designing solutions, developing code. Identify gaps in technology and propose viable solutions. Identify improvement areas within the application and work with the respective teams to implement the same. Ensuring adherence to defined process & quality standards, best practices, high quality levels in all deliverables. Desired Skills* Data Lake Architecture: Understanding of Medallion architecture ingestion Frameworks: Knowledge of ingestion frameworks like structured, unstructured, and semi structured Data Warehouse: Familiarity with Apache Hive and Impala Performs Continuous Integration and Continuous Development (CI-CD) activities. Hands on experience working in a Cloudera data platform (CDP) to support the Data Science Contributes to story refinement and definition of requirements. Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle. Extensive hands-on supporting platforms to allow modelling and analysts go through the complete model lifecycle management (data munging, model develop/train, governance, deployment) Experience with model deployment, scoring and monitoring for batch and real-time on various technologies and platforms. Experience in Hadoop cluster and integration includes ETL, streaming and API styles of integration. Experience in automation for deployment using Ansible Playbooks, scripting. Experience with developing and building RESTful API services in an efficient and scalable manner. Design and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark and YARN for large volumes of data (TBs) Experience with processing and deployment technologies such YARN, Kubernetes /Containers and Serverless Compute for model development and training. Effective communication, Strong stakeholder engagement skills, Proven ability in leading and mentoring a team of software engineers in a dynamic environment. Requirements* Education* Graduation / Post Graduation Experience Range* 7 to 9 years Foundational Skills Hadoop, Hive, Sqoop, Impala, Unix/Linux scripts. Desired Skills Python, CI/CD, ETL. Work Timings* 11:30 AM to 8:30 PM IST Job Location* Chennai

Wipro Limited is a leading technology services and consulting company dedicated to developing innovative solutions that cater to clients" most intricate digital transformation requirements. With a comprehensive range of capabilities in consulting, design, engineering, and operations, we assist clients in achieving their most ambitious goals and establishing sustainable businesses that are future-ready. Our workforce of over 230,000 employees and business partners spread across 65 countries ensures that we fulfill our commitment to helping customers, colleagues, and communities thrive amidst a constantly changing world. As a Databricks Developer at Wipro, you will be expected to possess the following essential skills: - Cloud certification in Azure Data Engineer or related category - Proficiency in Azure Data Factory, Azure Databricks Spark (PySpark or Scala), SQL, Data Ingestion, and Curation - Experience in Semantic Modelling and Optimizing data models to function within Rahona - Familiarity with Azure data ingestion from on-prem sources such as mainframe, SQL server, and Oracle - Proficiency in Sqoop and Hadoop - Ability to use Microsoft Excel for metadata files containing ingestion requirements - Any additional certification in Azure/AWS/GCP and hands-on experience in cloud data engineering - Strong programming skills in Python, Scala, or Java This position is available in multiple locations including Pune, Bangalore, Coimbatore, and Chennai. The mandatory skill set required for this role is DataBricks - Data Engineering. The ideal candidate should have 5-8 years of experience in the field. At Wipro, we are in the process of building a modern organization that is committed to digital transformation. We are seeking individuals who are driven by the concept of reinvention - of themselves, their careers, and their skills. We encourage a culture of continuous evolution within our business and industry, adapting to the changing world around us. Join us in a purpose-driven environment that empowers you to craft your own reinvention. Realize your ambitions at Wipro, where applications from individuals with disabilities are highly encouraged.,

Skills desired: Strong at SQL (Multi pyramid SQL joins) Python skills (FastAPI or flask framework) PySpark Commitment to work in overlapping hours GCP knowledge(BQ, DataProc and Dataflow) Amex experience is preferred(Not Mandatory) Power BI preferred (Not Mandatory) Flask, Pyspark, Python, Sql

About Impetus Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth. Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon. Job Description You should have extensive experience in GCP, Other cloud experience would be a strong bonus. - Strong background in Data engineering 3.5 Years of exp in Big Data technologies including, Hadoop, NoSQL, Spark, Kafka etc. - Exposure to enterprise application development is a must Roles & Responsibilities Able to effectively use GCP managed services. Good to have knowledge on Cloud Composer, Cloud SQL, Big Table, Cloud Function. Strong experience in Big Data technologies – Hadoop, Sqoop, Hive and Spark including DevOPs. Good hands on expertise on either Python or Java programming. Good Understanding of GCP core services like Google cloud storage, Google compute engine, Cloud SQL, Cloud IAM. Good to have knowledge on GCP services like App engine, GKE, Cloud Run, Cloud Built, Anthos. Ability to drive the deployment of the customers’ workloads into GCP and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for GCP cloud implementations. Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities. Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies. Act as a subject-matter expert OR developer around GCP and become a trusted advisor to multiple teams. Qualification Degree – Graduates/Postgraduate in CSE/IT or related field

we are hiring good GCP Data Engineers for Gurgaon Location. We are looking candidate should have strong experience in Bigdata, Pyspark, Python Or Java AND GCP, GCS, Bigquery, Dataflow, Dataproc, Pub sub, Storage. If you are good & strong on these expertise & can join us in 0-30 Days period. Please do share your resume at vaishali.tyagi@impetus.com Required Skill-Set Able to effectively use GCP managed services e.g. Dataproc, Dataflow, pub/sub, Cloud functions, Big Query, GCS - At least 4 of these Services. Good to have knowledge on Cloud Composer, Cloud SQL, Big Table, Cloud Function. Strong experience in Big Data technologies – Hadoop, Sqoop, Hive and Spark including DevOPs. Good hands on expertise on either Python or Java programming. Good Understanding of GCP core services like Google cloud storage, Google compute engine, Cloud SQL, Cloud IAM. Good to have knowledge on GCP services like App engine, GKE, Cloud Run, Cloud Built, Anthos. Ability to drive the deployment of the customers’ workloads into GCP and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for GCP cloud implementations. Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities. Act as a subject-matter expert OR developer around GCP and become a trusted advisor to multiple teams.

Job Summary As a Software Engineer at NetApp India’s R&D division, you will be responsible for the design, development and validation of software for Big Data Engineering across both cloud and on-premises environments. You will be part of a highly skilled technical team named NetApp Active IQ. The Active IQ DataHub platform processes over 10 trillion data points per month that feeds a multi-Petabyte DataLake. The platform is built using Kafka, a serverless platform running on Kubernetes, Spark and various NoSQL databases. This platform enables the use of advanced AI and ML techniques to uncover opportunities to proactively protect and optimize NetApp storage, and then provides the insights and actions to make it happen. We call this “actionable intelligence”. Job Requirements Design and build our Big Data Platform, and understand scale, performance and fault-tolerance • Interact with Active IQ engineering teams across geographies to leverage expertise and contribute to the tech community. • Identify the right tools to deliver product features by performing research, POCs and interacting with various open-source forums • Work on technologies related to NoSQL, SQL and in-memory databases • Conduct code reviews to ensure code quality, consistency and best practices adherence. Technical Skills • Big Data hands-on development experience is required. • Demonstrate up-to-date expertise in Data Engineering, complex data pipeline development. • Design, develop, implement and tune distributed data processing pipelines that process large volumes of data; focusing on scalability, low -latency, and fault-tolerance in every system built. • Awareness of Data Governance (Data Quality, Metadata Management, Security, etc.) • Experience with one or more of Python/Java/Scala. • Knowledge and experience with Kafka, Storm, Druid, Cassandra or Presto is an added advantage. Education • A minimum of 5 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.

Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT JOB SUMMARY: Position Sr Consultant Location Capco Locations (Bengaluru/ Chennai/ Hyderabad/ Pune/ Mumbai/ Gurugram) Band M3/M4 (8 to 14 years) Role Description: Job TitleSenior Consultant - Data Engineer Responsibilities Design, build and optimise data pipelines and ETL processes in Azure Databricks ensuring high performance, reliability, and scalability. Implement best practices for data ingestion, transformation, and cleansing to ensure data quality and integrity. Work within clients best practice guidelines as set out by the Data Engineering Lead Work with data modellers and testers to ensure pipelines are implemented correctly. Collaborate as part of a cross-functional team to understand business requirements and translate them into technical solutions. Role Requirements Strong Data Engineer with experience in Financial Services Knowledge of and experience building data pipelines in Azure Databricks Demonstrate a continual desire to implement strategic or optimal solutions and where possible, avoid workarounds or short term tactical solutions Work within an Agile team Experience/Skillset 8+ years experience in data engineering Good skills in SQL, Python and PySpark Good knowledge of Azure Databricks (understanding of delta tables, Apache Spark, Unity Catalog) Experience writing, optimizing, and analyzing SQL and PySpark code, with a robust capability to interpret complex data requirements and architect solutions Good knowledge of SDLC Familiar with Agile/Scrum ways of working Strong verbal and written communication skills Ability to manage multiple priorities and deliver to tight deadlines WHY JOIN CAPCO You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients #LI-Hybrid

Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT JOB SUMMARY: Position Sr Consultant Location Pune / Bangalore Band M3/M4 (7 to 14 years) Role Description: Must Have Skills: Should have experience in PySpark and Scala + Spark for 4+ years (Min experience). Proficient in debugging and data analysis skills. Should have Spark experience of 4+ years Should have understanding of SDLC and Big Data Application Life Cycle Should have experience in GIT HUB and GIT commands Good to have experience in CICD tools such Jenkins and Ansible Fast problem solving and self-starter Should have experience in using Control-M and Service Now (for Incident management ) Positive attitude, good communication skills (written and verbal both), should not have mother tongue interference. WHY JOIN CAPCO You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients #LI-Hybrid

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BCom Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional Requirements: PythonPySparkETLData PipelineBig DataAWSGCPAzureData WarehousingSparkHadoop Preferred Skills: Technology-Big Data-Big Data - ALL

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BSc Service Line Data & Analytics Unit Responsibilities Consulting Skills: oHypothesis-driven problem solvingoGo-to-market pricing and revenue growth executionoAdvisory, Presentation, Data StorytellingoProject Leadership and Execution Additional Responsibilities: Typical Work Environment Collaborative work with cross-functional teams across sales, marketing, and product development Stakeholder Management, Team Handling Fast-paced environment with a focus on delivering timely insights to support business decisions Excellent problem-solving skills and ability to address complex technical challenges. Effective communication skills to collaborate with cross-functional teams and stakeholders. Potential to work on multiple projects simultaneously, prioritizing tasks based on business impact Qualification: Degree in Data Science, Computer Science with data science specialization Master’s in business administration and Analytics preferred Technical and Professional Requirements: Technical Skills: oProficiency in programming languages like Python and R for data manipulation and analysis oExpertise in machine learning algorithms and statistical modeling techniques oFamiliarity with data warehousing and data pipelines oExperience with data visualization tools like Tableau or Power BI oExperience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services. Preferred Skills: Technology-Big Data-Text Analytics