Job Title

Candidates ready to join immediately can share their details via email for quick processing. CCTC | ECTC | Notice Period | Location Preference Act fast for immediate attention! ⏳ 5+ years if Experienc e.Roles and Responsibiliti esDesign, develop, and maintain scalable data pipelines using Spark (PySpark or Spark with Scala ).Build data ingestion and transformation frameworks for structured and unstructured data source s.Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable data solution s.Work with large volumes of data and ensure quality, integrity, and consistenc y.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 pipeline s.Monitor and troubleshoot data issues in production and perform root cause analysi s.Document technical processes, system designs, and operational procedure s.Must-Have Skil ls3+ years of experience as a Data Engineer or similar rol e.Hands-on experience with PySpa rk or Spark using Sca l a.Strong knowledge of S QL for data querying and transformatio n.Experience working with any cloud platfo rm (AWS, Azure, or GCP ).Solid understanding of data warehousing concepts and big data architectur e.Experience with version control systems like Gi t.Good-to-Have Skil lsExperience with data orchestration tools like Apache Airfl ow, Databricks Workflo ws, or simila r.Knowledge of Delta La ke, HD FS, or Kaf k a.Familiarity with containerization tools (Docker/Kubernetes ).Exposure to CI/CD practices and DevOps principle s.Understanding of data governance, security, and compliance standard s.