We are seeking a
Senior
Data
Engineer
with 5+ years of experience in designing and building scalable data platforms, ETL pipelines, and data warehousing solutions. The ideal candidate will have solid expertise in distributed data processing, cloud technologies, and software engineering best practices.

Key
Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines.
- Build and optimize data warehouses, data lakes, and data models.
- Develop highly available data ingestion and processing systems for large datasets.
- Collaborate with cross-functional teams to deliver data solutions.
- Ensure data quality, performance, reliability, and scalability.

Required
Skills:
- 7+ years of Data Engineering experience.
- Strong experience in Data Modeling, Data Warehousing, and ETL development.
- Proficiency in Python, Java, Scala, or NodeJS.




- 3+ years of SQL experience.
- Experience building and operating distributed data systems.

Preferred
Skills:
- AWS technologies: Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM.
- Workflow orchestration tools such as Airflow and AWS Step Functions.
- Experience with NoSQL databases and data stores.
- Understanding of SDLC, CI/CD, code reviews, testing, and software architecture best practices.

Preferred
Candidate
Profile:
A hands-on Data Engineer with strong AWS data platform experience, capable of delivering scalable, reliable, and efficient data solutions in a fast-paced environment.

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📌 Senior Data Engineer (Hyderabad)
🏢 ValueLabs
📍 Hyderabad