About the role
Location: Bengaluru, Karnataka, India
Experience: 5+ years
Employment Type: Full-time
About the RoleYou will join our data engineering/BI team and be responsible for designing, developing, and maintaining ETL/data-integration solutions using IBM InfoSphere DataStage (commonly referred to as DataStage), working with Oracle databases, Unix/Linux scripting and large-scale data warehouses. You will collaborate with business analysts, data architects, DBAs, and other developers to ensure timely, high-quality delivery of data pipelines.
- Design, develop and implement ETL jobs and sequences in DataStage to extract data from diverse sources, transform it and load into target systems (Oracle, data warehouse). +2Himalayas+2
- Write SQL/PL-SQL for data extraction, transformation and validation in Oracle databases. Hire IT People+1
- Develop Unix/Linux shell scripts to automate job scheduling, file handling, logging, alerting. +1
- Perform data modelling and collaborate on design of data warehouse constructs (star/snowflake schemas, fact & dimension tables) to support BI and analytics. Hire IT People+1
- Troubleshoot and optimise existing ETL workflows — monitor DataStage jobs, identify performance bottlenecks, optimise SQL, tuning DataStage stages. Velvet Jobs+1
- Maintain documentation: source-to-target mappings, technical design specs, runbooks, job sequence flows, error handling. Himalayas
- Work with scheduling tools (e.g., Control‑M, Autosys) and version control as part of production-support and deployments. SmartRecruiters+1
- Provide production support for ETL jobs: investigate failures, root-cause analysis, fix, and implement robust error handling. Velvet Jobs
- Liaise with business stakeholders, data architects, QA and other teams to ensure data quality, correct transformations, and timely delivery.
- Bachelor’s degree in Computer Science, Engineering, or related discipline (Master’s preferred).
- Minimum 5 years of hands-on experience in ETL development using IBM InfoSphere DataStage (versions 8.x/9.x or higher). SmartRecruiters+1
- Proven experience with Oracle database: strong SQL, PL/SQL (procedures, functions, packages), performance tuning. BTG
- Solid experience with Unix/Linux OS and shell scripting. +1
- Good understanding of data warehousing concepts and methodologies (ETL, staging, dimensional modelling, fact/dimension tables). +1
- Experience working with scheduling/automation (Control-M, Autosys, TWS) and version control systems. SmartRecruiters
- Excellent problem-solving skills, ability to handle multiple priorities, good communication and stakeholder management.
- Willingness to work in a fast-paced environment with cross-functional teams, potentially supporting production support and pipeline health.
- Exposure to migrating ETL or data warehousing workloads to cloud platforms (AWS, Azure, GCP) or using big-data technologies (Hadoop/Spark) is a plus.
- Experience working with large datasets, high data volumes, performance-tuning of ETL jobs and Oracle queries.
- Knowledge of data quality tools or metadata frameworks.
- Domain experience (e.g., finance, insurance, retail) is advantageous.
- Experience mentoring or guiding junior developers.
- Work on enterprise-scale data pipelines using mature ETL tools and Oracle, in a role where you can deeply influence data architecture and performance.
- Exposure to evolving data technologies, large-scale warehousing, and business-critical analytics.
- Based in Bengaluru – modern office, collaborative team environment, potential for professional growth and learning.
- Competitive compensation and benefits aligned with 5+ years experience.
Please send your CV highlighting:
- Your years of DataStage experience (versions used, size of projects)
- Oracle/PL-SQL experience (types of schemas, data volume, performance work)
- Examples where you optimised ETL jobs, improved performance or refactored pipelines
- Shell scripting/unix automation experience
- Any scheduling/automation tool experience you have
- Note if you have production support / 24×7 shifts / on-call experience