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Job Title: Data Engineer (4–8 Years)

Location: Pune | Bangalore | Chennai

Employment Type: Full time

Work Mode: Work from Office (3 days/week at client office – mandatory)

Availability: Immediate joiners only

About the Role:

We are looking for experienced Data Engineers with 4 to 8 years of experience to join our team. You will design and build scalable data pipelines on AWS using Databricks, Apache Airflow, and Apache Iceberg. This role involves working on enterprise-grade data platforms with a focus on performance, governance, and reliability.

Note: A detailed background verification (BGV) will be conducted. A valid LinkedIn profile is mandatory for application consideration.

Key Responsibilities
Design, develop, and optimize ETL/ELT pipelines using Databricks , PySpark , and Apache Airflow .
Implement data lakehouse architectures using Apache Iceberg for ACID transactions, time travel, and schema evolution.
Build and maintain cloud-native data solutions on AWS using services like S3, Glue, Lambda, EventBridge, SNS, SQS, and Lake Formation.
Implement fine-grained data access controls with AWS Lake Formation .




Develop event-driven and serverless data workflows for scalability and cost efficiency.
Collaborate with data scientists, analysts, and software engineers to deliver high-quality data products.
Senior-level candidates will also lead technical initiatives and mentor junior team members.

Required Skills

Must-Have for All Candidates:
Databricks
Apache Airflow
Python and PySpark
Apache Iceberg
AWS services: S3, Glue/Crawler, Lambda, Lake Formation

Additional Skills Based on Experience:
For 4–6 Years Experience:
Hands-on experience with EventBridge, SNS, SQS, and Kafka. Terraform knowledge is a bonus.
For 6–8 Years Experience:
Advanced proficiency in Databricks, Airflow, Python, Iceberg, and core AWS services (S3, Glue, Lambda, Lake Formation). Ability to lead technical design and mentor team members.

Preferred Qualifications
Experience with Terraform for infrastructure as code.
Familiarity with Kafka or other streaming platforms.

Apply on Kit Job: kitjob.in/job/446xda

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