13 Datastage Etl Jobs

About the client: Our client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, and 35,000+ associates worldwide, the company specializes in digital engineering and IT services, helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. Our client partners with major firms in banking, healthcare, telecom, and media. Known for combining deep industry expertise with agile development practices, the company enables scalable and cost-effective digital transformation. With operations in over 50 locations across more than 25 countries, delivery centers in Asia, Europe, and North America, and backing from Baring Private Equity Asia. Job Title: ETL Developer With DBA Key Skills: ETL development, data modeling, DataStage (ETL), R language (Must have), Linux scripting, SQL, Control-M Job Location: Hyderabad Experience: 4-6 years Education Qualification: Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate Job Responsibilities: The candidate should have 8 years and above experience in ETL development. Understanding of data modeling concepts. Passionate about sophisticated data structures and problem solutions. Quickly learn new data tools and ideas. Proficient in skills - DataStage (ETL), R language (Must have), Linux scripting, SQL, Control-M. GCP knowledge would be an added advantage. The candidate should be well aware of Agile ways of working. Knowledge of different SQL/NoSQL data storage techniques and Big Data technologies.,

Datastage developer Skills ; Datastage, datastage developer,ETL Datastage Exp..-5-8YRS Location: pune hyderabad bangalore Kolkata Notice Period : Immediate Joiner Interested Candidates share your cv at Muktai.S@alphacom.in

Bachelors degree or military experience in related field preferably computer science and 7 years of experience in ETL development within a Data Warehouse Deep understanding of enterprise data warehousing best practices and standards Strong experience in software engineering comprising of designing, developing and operating robust and highly scalable cloud infrastructure services Strong experience with Python/PySpark, DataStage ETL and SQL development Proven experience in cloud infrastructure projects with hands on migration expertise on public clouds such as AWS and Azure, preferably Snowflake Knowledge of Cybersecurity organization practices, operations, risk management processes, principles, architectural requirements, engineering and threats and vulnerabilities, including incident response methodologies Understand Authentication & Authorization Services, Identity & Access Management Strong communication and interpersonal skills

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 SLAs 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 SLAs 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 Mandatory Skills: Datastage ETL Testing. Experience: 5-8 Years.

We are seeking a skilled DataStage professional to join our team in India. The ideal candidate will have 4-5 years of experience in designing and implementing ETL processes using IBM DataStage, working closely with business stakeholders to ensure data accuracy and efficiency. Designing, developing, and maintaining ETL processes using IBM DataStage. Collaborating with data analysts and business stakeholders to understand data requirements. Performing data profiling and analysis to ensure data quality and integrity. Optimizing DataStage jobs for performance and scalability. Troubleshooting and resolving DataStage job failures and performance issues. Creating and maintaining technical documentation for DataStage processes. 4-5 years of experience in DataStage development and ETL processes. Proficiency in IBM DataStage and its components. Strong understanding of data warehousing concepts and database technologies. Experience with SQL and relational databases like Oracle, SQL Server, or DB2. Knowledge of data modeling and data integration techniques. Familiarity with data governance and data quality principles. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

We are seeking a skilled DataStage professional to join our team in India. The ideal candidate will have 4-5 years of experience in designing and implementing ETL processes using IBM DataStage, working closely with business stakeholders to ensure data accuracy and efficiency. Designing, developing, and maintaining ETL processes using IBM DataStage. Collaborating with data analysts and business stakeholders to understand data requirements. Performing data profiling and analysis to ensure data quality and integrity. Optimizing DataStage jobs for performance and scalability. Troubleshooting and resolving DataStage job failures and performance issues. Creating and maintaining technical documentation for DataStage processes. 4-5 years of experience in DataStage development and ETL processes. Proficiency in IBM DataStage and its components. Strong understanding of data warehousing concepts and database technologies. Experience with SQL and relational databases like Oracle, SQL Server, or DB2. Knowledge of data modeling and data integration techniques. Familiarity with data governance and data quality principles. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

We are seeking a skilled DataStage professional to join our team in India. The ideal candidate will have 4-5 years of experience in designing and implementing ETL processes using IBM DataStage, working closely with business stakeholders to ensure data accuracy and efficiency. Designing, developing, and maintaining ETL processes using IBM DataStage. Collaborating with data analysts and business stakeholders to understand data requirements. Performing data profiling and analysis to ensure data quality and integrity. Optimizing DataStage jobs for performance and scalability. Troubleshooting and resolving DataStage job failures and performance issues. Creating and maintaining technical documentation for DataStage processes. 4-5 years of experience in DataStage development and ETL processes. Proficiency in IBM DataStage and its components. Strong understanding of data warehousing concepts and database technologies. Experience with SQL and relational databases like Oracle, SQL Server, or DB2. Knowledge of data modeling and data integration techniques. Familiarity with data governance and data quality principles. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

P2-C3-STS JD Data Warehouse. In this role you will be part of a team working to develop solutions enabling the business to leverage data as an asset at the bank. As a Lead ETL Developer, you will be leading teams to develop, maintain and enhance code ensuring all IT SDLC processes are documented and practiced, working closely with multiple technologies teams across the enterprise. The Lead ETL Developer should have extensive knowledge of data warehousing cloud technologies. If you consider data as a strategic asset, evangelize the value of good data and insights, have a passion for learning and continuous improvement, this role is for you. Key Responsibilities: Translate requirements and data mapping documents to a technical design. Develop, enhance and maintain code following best practices and standards. Create and execute unit test plans. Support regression and system testing efforts. Debug and problem solve issues found during testing and or production. Communicate status, issues and blockers with project team. Support continuous improvement by identifying and solving opportunities. Basic Qualifications Bachelor degree or military experience in related field (preferably computer science). At least 5 years of experience in ETL development within a Data Warehouse. Deep understanding of enterprise data warehousing best practices and standards. Strong experience in software engineering comprising of designing, developing and operating robust and highly-scalable cloud infrastructure services. Strong experience with Python/PySpark, DataStage ETL and SQL development. Proven experience in cloud infrastructure projects with hands on migration expertise on public clouds such as AWS and Azure, preferably Snowflake. Knowledge of Cybersecurity organization practices, operations, risk management processes, principles, architectural requirements, engineering and threats and vulnerabilities, including incident response methodologies. Understand Authentication & Authorization Services, Identity & Access Management. Strong communication and interpersonal skills. Strong organization skills and the ability to work independently as well as with a team. Preferred Qualifications AWS Certified Solutions Architect Associate, AWS Certified DevOps Engineer Professional and/or AWS Certified Solutions Architect Professional Experience defining future state roadmaps for data warehouse applications. Experience leading teams of developers within a project. Experience in financial services (banking) industry. Mandatory Skills ETL - Datawarehouse concepts AWS, Glue SQL python SNOWFLAKE CI/CD Tools (Jenkins, GitHub) Secondary Skills zena pyspark infogix

P2-C3-STS JD In this role you will be part of a team working to develop solutions enabling the business to leverage data as an asset at the bank.The Senior ETL Developer should have extensive knowledge of data warehousing cloud technologies. If you consider data as a strategic asset, evangelize the value of good data and insights, have a passion for learning and continuous improvement, this role is for you. Translate requirements and data mapping documents to a technical design. Develop, enhance and maintain code following best practices and standards. Create and execute unit test plans. Support regression and system testing efforts. Debug and problem solve issues found during testing and/or production. Communicate status, issues and blockers with project team. Support continuous improvement by identifying and solving opportunities. Basic Qualifications Bachelor degree or military experience in related field (preferably computer science). At least 5 years of experience in ETL development within a Data Warehouse. Deep understanding of enterprise data warehousing best practices and standards. Strong experience in software engineering comprising of designing, developing and operating robust and highly-scalable cloud infrastructure services. Strong experience with Python/PySpark, DataStage ETL and SQL development. Proven experience in cloud infrastructure projects with hands on migration expertise on public clouds such as AWS and Azure, preferably Snowflake. Knowledge of Cybersecurity organization practices, operations, risk management processes, principles, architectural requirements, engineering and threats and vulnerabilities, including incident response methodologies. Understand Authentication & Authorization Services, Identity & Access Management. Strong communication and interpersonal skills. Strong organization skills and the ability to work independently as well as with a team. Preferred Qualifications AWS Certified Solutions Architect Associate, AWS Certified DevOps Engineer Professional and/or AWS Certified Solutions Architect Professional Experience defining future state roadmaps for data warehouse applications. Experience leading teams of developers within a project. Experience in financial services (banking) industry. Mandatory Skills ETL - Datawarehouse concepts Snowflake AWS, Glue CI/CD Tools (Jenkins, GitHub) python Datastage Secondary Skills zena pyspark infogix

Lead production support for a Finance Datastage ETL Platform for a 24*7 SLA based engagement. Reviewing job designs and code created by other DataStage developers. Provide support for ongoing inbound/outbound data loads and issue resolution. Monitor DataStage job execution and troubleshoot issues as needed. Troubleshoot DataStage job failures and provide root cause analysis. Optimize existing DataStage jobs for performance (as necessary).

Hexaware is hiring for DataStage Developer, below is the required details. Required Skill: DataStage, Ibm DataStage, SQL,ETL. Total Years of experience: 6 to 12 years. Relevant Experience: minimum 4 years. Location: Pune, Mumbai,Chennai. Work Mode: Hybrid. Interested candidates kindly share your updated cv to gopinathr6@hexaware.com by filling the below required details. Candidate Name: Current Company: Total Years of Experience: Relevant Exp in Data stage: Current location: Preferred Location: Current CTC: Expected CTC: Notice period: Regards; Gopinath R.

Role & responsibilities Job Summary: We are looking for a seasoned ETL Engineer with hands-on experience in IBM DataStage , preferably both, to lead data integration efforts in the mortgage domain. The ideal candidate will play a key role in designing, developing, and managing scalable ETL solutions that support critical mortgage data processing and analytics workloads. Key Responsibilities: End-to-end ETL solution development using DataStage. Design and implement robust data pipelines for mortgage origination, servicing, and compliance data. Collaborate with business stakeholders and data analysts to gather requirements and deliver optimized solutions. Perform code reviews, mentor junior team members, and ensure adherence to data quality and performance standards. Manage job orchestration, scheduling, and error handling mechanisms. Document ETL workflows, data dictionaries, and system processes. Ensure data privacy and compliance requirements are embedded in all solutions. Required Skills: Strong experience in ETL tools IBM DataStage. Solid understanding of mortgage lifecycle and related data domains. Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, Snowflake). Familiarity with job scheduling tools , version control , and CI/CD pipelines .

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