Role Details :

Company : Auxo AI

Job Title : Senior Data Engineer (AWS, Python/Java)

Job ID : 7295

Experience : 6-9 years

Location : Bengaluru

Work Model : In-Office - 5 Days

Candidate Location : Any Location

Notice Period : Immediate joiners / candidates who can join within 2 weeks

Education : B.Tech / B.E. / M.Tech

Job Overview :

We are looking for a Senior Data Engineer with strong experience in AWS data engineering, Python/Java/Scala, Big Data and scalable data pipelines. The candidate will be responsible for designing, developing and optimizing large-scale data processing and ETL solutions.

Mandatory Requirements :

- Minimum 6+ years of experience in Data Engineering, with strong experience designing, developing and maintaining scalable data pipelines and ETL processes.

- 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda and Redshift.

- Strong programming experience in Python, Java or Scala, with hands-on development of data processing and pipeline solutions.

- Strong expertise in SQL, data warehousing and database technologies, including experience with both SQL and NoSQL databases.

- Hands-on experience with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

- Experience with data pipeline troubleshooting, monitoring, data quality, governance and security best practices.

- B.Tech / B.E. / M.Tech.

- Immediate joiners or candidates who can join within 2 weeks.

Preferred Skills : Apache Airflow, Docker and Kubernetes for pipeline orchestration and containerized data engineering workloads.

Key Technical Skills : AWS S3, AWS Glue, AWS EMR, AWS Lambda, AWS Redshift, Python / Java / Scala, SQL, SQL & NoSQL, Data Warehousing, ETL, Big Data, Distributed Processing, Data Quality, Data Governance, Data Security, Airflow, Docker, Kubernetes