Data Engineer – Scala

Experience: 6+ Years
Employment Type: C2C
Work Mode: Hybrid – PAN India
Shift: 11:00 AM – 9:00 PM

Job Description

We are looking for an experienced Data Engineer – Scala to build and optimize scalable data platforms and enterprise data pipelines.

Key Responsibilities
- Design, develop, and optimize scalable batch and real-time data pipelines.
- Build ETL/ELT workflows using Scala, Apache Spark, Python, and SQL.
- Develop high-performance SQL queries and data models.
- Work with Azure/AWS cloud data services.
- Build and maintain data ingestion and transformation pipelines.
- Monitor, troubleshoot, and optimize pipeline performance.
- Ensure data quality, reliability, and scalability.
- Collaborate with engineering, analytics, and business teams.
- Participate in code reviews, architecture discussions, Agile ceremonies, and CI/CD activities.

Must-Have Skills
- 6+ years of Data Engineering experience.




- Strong hands-on experience with Scala and Apache Spark.
- Good experience with Python and advanced SQL.
- Experience with Azure and/or AWS.
- Strong ETL/ELT and data pipeline development experience.
- Experience with Azure Data Factory, AWS Glue, or similar tools.
- Solid understanding of Data Warehousing and Big Data technologies.
- Experience with CI/CD and Agile methodologies.

Good to Have
- Azure Synapse Analytics
- Databricks / Delta Lake / Lakehouse
- Apache Kafka or streaming technologies
- Data Governance and Data Quality
- ML/GenAI data pipelines

Pay: ₹80,000.00 - ₹110,000.00 per month

Experience:
- Data Engineering: 6 years (Required)

Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad District)

📌 Scala Data Engineer (Hyderabad)
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