Job Title: Data Engineer – Scala

We are hiring an experienced Data Engineer with solid 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.
Solid 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.

Positive 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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