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.




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

Valuable 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 (India)
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