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Job Title: Data Engineer (4–8 Years)

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Location: Pune | Bangalore | Chennai

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Employment Type: Full time

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

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Availability: Immediate joiners only

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About the Role:

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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.

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

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Key Responsibilities

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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.

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Required Skills

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Must-Have for All Candidates:

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Databricks
Apache Airflow
Python and PySpark
Apache Iceberg
AWS services: S3, Glue/Crawler, Lambda, Lake Formation

Additional Skills Based on Experience:n
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.

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Preferred Qualifications

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

Apply on Kit Job: kitjob.in/job/43wj3f

📌 Data Engineer Nellore
🏢 Kresta Softech Private
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