Job Title: Data Engineer – Scala

We are hiring an experienced Data Engineer with strong expertise in Scala, Apache Spark, Python, SQL, and Azure/AWS to build scalable data platforms and enterprise-grade data pipelines.

Job Details

- Role: Data Engineer – Scala
- Experience: 6+ Years
- Employment Type: C2C (Contract)
- Work Mode: Hybrid (Pan India)
- Shift: 11:00 AM – 9:00 PM

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 data processing solutions on Azure/AWS.
- Work with cloud-native data services for ingestion, transformation, and analytics.
- Monitor, troubleshoot, and improve data pipeline performance and quality.
- Collaborate with cross-functional teams to deliver end-to-end data engineering solutions.
- Participate in architecture discussions, code reviews, and CI/CD implementation.

Required Skills





- 6+ years of Data Engineering experience.
- Strong hands-on experience with Scala and Apache Spark.
- Proficiency in Python and advanced SQL.
- Experience with Azure and/or AWS cloud platforms.
- Expertise in designing and developing ETL/ELT pipelines.
- Experience with Azure Data Factory (ADF), AWS Glue, or similar tools.
- Strong knowledge of Data Warehousing, Big Data technologies, CI/CD, and Agile methodologies.

Valuable to Have

- Azure Synapse Analytics
- Apache Kafka / Streaming technologies
- Databricks, Delta Lake, or Lakehouse Architecture
- Data Governance and Data Quality frameworks
- Exposure to ML/GenAI data pipelines

Pay: ₹80,000.00 - ₹100,000.00 per month

Experience

- Data Engineering : 6 years (Required)

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

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