ETL Developer

4 years

0 Lacs

Posted:11 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Location

Experience

Walk in Interview – on Saturday Hyderabad Location


Role Overview:


We are looking for an experienced ETL Developer with strong IBM Data stage and SQL expertise to join our dynamic team . The ideal candidate will be responsible for designing, developing, testing, and supporting ETL processes and data integration solutions to ensure seamless data flow across multiple systems.


Key Responsibilities:


• Design, develop, and maintain ETL jobs using IBM Data stage.

• Work closely with business analysts, architects, and data modelers to understand business requirements and convert them into scalable ETL solutions.

• Develop complex SQL queries, stored procedures, and performance-optimized scripts for data extraction, transformation, and loading.

• Conduct data quality checks, troubleshooting, and performance tuning of Data stage jobs and SQL queries.

• Support data migration, batch processing, and real-time integration projects.

• Document technical specifications, mappings, workflows, and operational processes.

• Collaborate with cross-functional teams to ensure high-quality data delivery in compliance with enterprise standards.

• Provide production support, including monitoring, debugging, and resolving ETL/data-related issues.


Required Skills & Experience:


• 4+ years of hands-on experience in ETL development using IBM Data stage.

• Strong expertise in SQL, PL/SQL, and relational databases (Oracle, SQL Server, DB2, or similar).

• Experience with ETL performance tuning, optimization, and error handling.

• Knowledge of data warehousing concepts, star/snowflake schemas, and data modeling basics.

• Strong understanding of job scheduling tools (e.g., Control-M, Autosys, or equivalent).

• Good knowledge of Unix/Linux shell scripting for automation and integration.

• Excellent problem-solving skills with the ability to debug and resolve complex data issues.

• Strong communication and collaboration skills.


Good to Have:


• Experience in cloud-based ETL solutions (AWS Glue, Azure Data Factory, GCP Dataflow).

• Familiarity with Big Data platforms (Hadoop, Spark) is an added advantage.

• Exposure to Agile/Scrum methodologies.

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