5+ yoe - data engineer – pyspark/spark scala with cloud & sql - immediate joiner - bengaluru

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 Responsibilities Design, develop, and maintain scalable data pipelines using Spark (Py Spark 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 with Py Spark or Spark using Scala.

Strong knowledge of SQL for data querying and transformation.

Experience working with any cloud platform (AWS, Azure, or GCP).

Solid understanding of data warehousing concepts and big data architecture.

Experience with version control systems like Git.

Good-to-Have Skills Experience with data orchestration tools like Apache Airflow, Databricks Workflows, or similar.

Knowledge of Delta Lake, HDFS, or Kafka.

Familiarity with containerization tools (Docker/Kubernetes).

Exposure to CI/CD practices and Dev Ops principles.

Understanding of data governance, security, and compliance standards.