ETL Datastage developer at Japanese MNC · Bengaluru (Bangalore) · 5 - 10 years · ₹7L - ₹15L / yr · Posted 9 Sep 2022
Role: ETL Datastage developer.
Eperience: 5 years
Location: Bangalore (WFH as of now).
Roles:
Design, develop, and schedule DataStage ETL jobs to extract data from disparate source systems, transform, and load data into EDW for data mart consumption, self-service analytics, and data visualization tools.
Provides hands-on technical solutions to business challenges & translates them into process/technical solutions.
Conduct code reviews to communicate high-level design approaches with team members to validate strategic business needs and architectural guidelines are met.
Evaluate and recommend technical feasibility and effort estimates of proposed technology solutions. Provide operational instructions for dev, QA, and production code deployments while adhering to internal Change Management processes.
Coordinate Control-M scheduler jobs and dependencies Recommend and implement ETL process performance tuning strategies and methodologies. Conducts and supports data validation, unit testing, and QA integration activities.
Compose and update technical documentation to ensure compliance to department policies and standards. Create transformation queries, stored procedures for ETL processes, and development automations.
Interested candidates can forward your profiles.

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Hiring: ETL Developer – Hadoop & PySpark
Location: Bangalore
Experience: 6–10 Years
Budget: 25–30 LPA
Work Mode: Weekdays
Job Description
We are looking for an experienced ETL Developer with strong expertise in Hadoop, PySpark, Python, and SQL to design, develop, and optimize data processing and transformation solutions. The ideal candidate should have hands-on experience working with big data technologies, building scalable ETL pipelines, and managing data for data warehousing and analytics.
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines for large-scale data processing.
- Develop data transformation workflows using PySpark and Python.
- Work with Hadoop and other big data technologies to process and manage large datasets.
- Write complex SQL queries for data extraction, transformation, validation, and analysis.
- Implement data cleansing, data quality checks, and data validation processes.
- Develop and optimize data integration workflows for data warehousing solutions.
- Troubleshoot ETL failures, performance issues, and data discrepancies.
- Optimize PySpark jobs and SQL queries for performance and scalability.
- Collaborate with data engineers, architects, analysts, and other stakeholders to deliver reliable data solutions.
- Ensure data accuracy, consistency, and adherence to established data governance standards.
Mandatory Skills
- Strong hands-on experience in ETL development.
- Good experience with Hadoop and big data technologies.
- Proficiency in PySpark and Python programming.
- Strong SQL skills, including complex queries and data manipulation.
- Experience in data processing, data transformation, and data integration.
- Understanding of data warehousing concepts and architecture.
- Experience in developing, debugging, and optimizing ETL pipelines.
Required Experience
- 6–10 years of relevant experience in ETL development and data engineering.
- Practical experience handling large datasets using Hadoop and PySpark.
- Strong analytical, problem-solving, and troubleshooting skills.
- Ability to work independently and collaborate effectively within a team.
Interested candidates can share their updated resumes along with current CTC, expected CTC, notice period, and total relevant experience.
Job Description
We are looking for an experienced ETL Developer with strong expertise in ETL development, Hadoop, PySpark, Python, and SQL. The candidate should have hands-on experience in developing data pipelines, processing and transforming large datasets, and working with data warehousing and big data technologies.
Key Responsibilities
- Design, develop, and maintain ETL processes and data pipelines.
- Work with Hadoop and PySpark to process and transform large volumes of data.
- Develop and optimize Python scripts for data processing and automation.
- Write complex SQL queries for data extraction, transformation, and validation.
- Perform data cleansing, integration, transformation, and validation.
- Work with data warehousing concepts and large-scale data processing systems.
- Optimize ETL workflows for performance, scalability, and reliability.
- Troubleshoot data pipeline failures and resolve data quality issues.
- Collaborate with data engineers, analysts, and other technical teams.
- Follow data governance, quality, and development best practices.
Required Skills
- Strong experience in ETL Development – Mandatory
- Hands-on experience with Hadoop – Mandatory
- Strong experience in PySpark – Mandatory
- Good programming skills in Python – Mandatory
- Strong knowledge of SQL – Mandatory
- Experience in Data Processing and Transformation – Mandatory
- Knowledge of Data Warehousing – Mandatory
- Experience with Big Data Technologies – Mandatory
Opportunity Details
Role: ETL Developer – Hadoop & PySpark
Experience: 6–10 Years
Location: Bangalore
Mandatory Skills
ETL Development | Hadoop | PySpark | Python | SQL | Data Processing & Transformation | Data Warehousing | Big Data Technologies







