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Data Engineer - ETL/SSIS/Datastage

MOURI TECH LIMITED
6 - 11 Years
Hyderabad

Posted on: 31/03/2026

Job Description

Job Description :

- 3 pm IST to 12 pm IST -Tuesday - Saturday Working

- Hyderabad

Desired Job attributes :

- Proven expertise in architecting robust ETL/ELT pipelines, real-time data integration using Data Stage, and advanced data analytics solutions.

- Design, implement, and maintain data pipelines using DataStage, ensuring efficient processing and analysis of large volumes of data.

- Familiar with the functionality of data stage director and scheduling tools.

- Automate data-related tasks and processes using Data Stage enhancing efficiency and scalability.

- Proficient in SQL query optimization, stored procedure development, and data integration across diverse sources.

- Should be able to debug the jobs in case of failure and good to have experience working in L3 support.

- Develop and optimize T-SQL queries, stored procedures, and functions to support data extraction, transformation, and loading (ETL) processes.

- Implement data governance and quality control measures to ensure the accuracy, completeness, and consistency of data.

- Document data models, processes, and procedures, ensuring knowledge transfer and compliance with best practices.

- Stay up-to-date with emerging technologies and industry trends, evaluating new tools and methodologies to improve data engineering practices.

Required Skills :

- At least 4 years of relevant working experience with DataStage.

- Develop robust and scalable data pipelines and workflows on azure with technologies like DataStage

- Proficiency in TSQL query writing in SQL Server.

- Knowledge of data modeling and database design principles.

- Good to have proven experience working with SQL Server Integration Services (SSIS) and SQL Server Management Studio (SSMS).

- Experience in optimizing and tuning ETL processes and SQL queries for performance.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.

- Strong understanding of data warehousing concepts, ETL best practices, and database administration.

Nice-to-Have Skills :

- Experience in SSIS, Data Bricks, Spark, Python


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