Data Engineer Scala

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.

Good 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

Compensation: 80,000.00 - 100,000.00 per month

Experience

Data Engineering : 6 years (Required)

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