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5+ YoE

3 weeks ago


Bengaluru, Karnataka, India UST Full time

Candidates ready to join immediately can share their details via email for quick processing.CCTC | ECTC | Notice Period | Location fast for immediate attention 5+ years if Experience.Roles and ResponsibilitiesDesign, develop, and maintain scalable data pipelines using Spark (PySpark or Spark with Scala).Build data ingestion and transformation frameworks for structured and unstructured data sources.Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable data solutions.Work with large volumes of data and ensure quality, integrity, and consistency.Optimize data workflows for performance, scalability, and cost efficiency on cloud platforms (AWS, Azure, or GCP).Implement data quality checks and automation for ETL/ELT pipelines.Monitor and troubleshoot data issues in production and perform root cause analysis.Document technical processes, system designs, and operational procedures.Must-Have Skills3+ years of experience as a Data Engineer or similar role.Hands-on experience wit h PySpa rk o r Spark using Sca la.Strong knowledge o f S QL for data querying and transformation.Experience working wit h any cloud platfo rm (AWS, Azure, or GCP).Solid understanding of data warehousing concepts and big data architecture.Experience with version control systems like Git.Good-to-Have SkillsExperience with data orchestration tools lik e Apache Airfl ow , Databricks Workflo ws, or similar.Knowledge o f Delta La ke , HD FS, o r Kaf ka.Familiarity with containerization tools (Docker/Kubernetes).Exposure to CI/CD practices and DevOps principles.Understanding of data governance, security, and compliance standards.