Hi All,

Skill: Bigdata Engineer

Exp: 6-9 Years

Location: Pune, Chennai

- F2F Interview on 19th Jul 2025. Who are interested please send me your updated resume.
- Mandatory Skills: PySpark, spark, python , GCP, SCALA, SQL, Hadoop, Hive, AWS, GCP

Key Responsibilities:

- Design, develop, and maintain scalable data pipelines and ETL workflows using PySpark, Hadoop, and Hive.
- Deploy and manage big data workloads on cloud platforms like GCP and AWS.
- Work closely with cross-functional teams to understand data requirements and deliver high-quality solutions.
- Optimize data processing jobs for performance and cost-efficiency on cloud infrastructure.
- Implement automation and CI/CD pipelines to streamline deployment and monitoring of data workflows.
- Ensure data security, governance, and compliance in cloud environments.
- Troubleshoot and resolve data issues, monitoring job executions and system health.





Mandatory Skills:

- PySpark: Strong experience in developing data processing jobs and ETL pipelines.
- Google Cloud Platform (GCP): Hands-on experience with BigQuery, Dataflow, Dataproc, or similar services.
- Hadoop Ecosystem: Expertise with Hadoop, Hive, and related big data tools.
- AWS: Familiarity with AWS data services like S3, EMR, Glue, or Redshift.
- Strong SQL and data modeling skills.

Valuable to Have:

- Experience with CI/CD tools and DevOps practices (Jenkins, GitLab, Terraform, etc.).
- Containerization and orchestration knowledge (Docker, Kubernetes).
- Experience with Infrastructure as Code (IaC).
- Knowledge of data governance and data security best practices.

📌 Big Data Engineer_C (Mumbai)
🏢 Kaizen Sra Technologies
📍 Mumbai