Role : Senior Data Engineer (AWS, Python/Java) / Immediate joiners only

Location : Bengaluru

Work Mode : Onsite 5 days

Compensation : 25 LPA to 42 LPA

Roles &

Responsibilities :

This role offers an exciting opportunity to work on diverse projects, collaborating with cross functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities :

- Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.
- Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.
- Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.
- Implement data governance and security best practices to ensure compliance and data integrity.
- Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.
- Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Ideal Candidate :

- Strong Data Engineer (AWS) Profile
- Mandatory : Minimum 6 years of experience in Data Engineering,



with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.
- Mandatory : 3 years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.
- Mandatory : Strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.
- Mandatory : Robust expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.
- Mandatory : Hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.
- Mandatory : Experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.
- Mandatory : B.Tech / B.E./ M.Tech
- Mandatory : Immediate joiners or candidates who can join within 2 weeks.
- Preferred : Experience with Apache Airflow, Docker, and Kubernetes for pipeline orchestration and containerized data engineering workloads.

Interview Process :

- R1
- R2
- R3
- HR Discussion

📌 Senior Data Engineer - Python/SQL/ETL (India)
🏢 Hire Global
📍 India