AdapNeo Private Limited is looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and up-to-date data solutions. The ideal candidate will have strong expertise in Python, AWS, SQL, and data engineering best practices, with a passion for transforming data into valuable business insights.

Key Responsibilities

- Design, develop, and maintain ETL/ELT pipelines using Python and AWS services.
- Build and optimize scalable data infrastructure for analytics and reporting.
- Collaborate with product, development, and technology teams to deliver high-quality data solutions.
- Ensure data accuracy, integrity, and availability for business reporting.
- Develop and optimize SQL queries, stored procedures, and database performance.
- Work with PostgreSQL and Microsoft SQL Server environments.
- Implement CI/CD practices and version control using Git/Azure DevOps.
- Contribute to Agile ceremonies, including stand-ups, sprint planning, and retrospectives.




- Support data warehouse and lakehouse initiatives using modern data engineering practices.

Required Skills

- Strong experience with Python for ETL/ELT development.
- Hands-on experience with AWS (Lambda, Batch, and related services).
- Expertise in Microsoft SQL Server and PostgreSQL.
- Knowledge of CI/CD pipelines, Git, and Azure DevOps.
- Understanding of Data Warehousing, Dimensional Modeling, and Data Lakehouse concepts.
- Experience with Terraform or other Infrastructure-as-Code tools is preferred.
- Strong analytical, problem-solving, and communication skills.
- Ability to adapt quickly to new technologies and work in an Agile environment.

Preferred Candidate

- Passionate about data engineering and continuous learning.
- Detail-oriented with a focus on delivering robust, scalable, and high-quality data solutions.
- Strong team player with excellent collaboration skills.

📌 Data Engineer (Hyderabad)
🏢 Adapneo Private
📍 Hyderabad