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ETL Data Engineer

ETL Data Engineer

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Empower

3 - 8 years

4 - 8 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

backend version control query optimization coding debugging javascript data processing sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

The ETL Data Engineer is responsible for designing, developing, and maintaining backend data pipelines and ETL solutions. This role focuses on building scalable and reliable data processing using Python, SQL, and AWS, supporting analytics, reporting, and downstream applications. The engineer contributes across the development lifecycle, from requirements and design through implementation, testing, deployment, and ongoing support.

What you will do:

Design, build, and maintain ETL pipelines and backend data workflows using Python and SQL.
Develop and optimize data processing solutions on AWS using services such as Glue, EMR, Lambda, and S3 under guidance from senior engineers and architects.
Implement and support CI/CD pipelines to automate build, test, and deployment processes.
Collaborate with data engineers, architects, product owners, and business partners to understand requirements and translate them into clear technical tasks.
Write clean, maintainable, and well-tested code that aligns with team standards and architectural guidelines.
Troubleshoot and resolve data, performance, and reliability issues in lower and production environments with support from senior team members as needed.
Participate in code reviews to provide and receive feedback and help uphold coding and quality standards.
Contribute to design and technical discussions by sharing ideas and raising risks or improvement opportunities.
Continuously learn and adopt tools, technologies, and development practices relevant to data engineering and cloud platforms.

What you will bring:

bachelors degree in Computer Science or related field, or equivalent practical experience.
3+ years of experience in software development, with a focus on backend or data engineering.
Proficiency in Python for backend development and data processing tasks.
Strong SQL skills, including working with large datasets and query optimization.
Hands-on experience with AWS services, ideally including Glue, EMR, Lambda, and S3, and Kafka topics
Experience working with CI/CD pipelines and tools that support automated build, test, and deployment.
Solid understanding of software development methodologies and best practices, including version control and automated testing.
Strong problem-solving, debugging, and troubleshooting skills.

What will set you apart:

Experience with Java or JavaScript is a plus but not required.

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ETL Data Engineer