5+ YoE

1 week 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 Preference

nitin.patil@ust.com

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 PySpark or Spark using Scal
  • a.Strong knowledge of SQL for data querying and transformatio
  • n.Experience working with any cloud platform (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 Airflow, Databricks Workflows, or simila
  • r.Knowledge of Delta Lake, HDFS, or Kafk
  • 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.

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