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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

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📌 Data Engineer (Nellore)
🏢 Kresta Softech Private
📍 Nellore