Data Engineer – Scala Noida (India)

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. 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)