Data Engineer responsible for developing scalable data solutions and optimizing pipelines at Mindera. Collaborating with stakeholders to ensure data quality and performance in Chennai, India.
Responsibilities
Design, develop, and maintain scalable **data pipelines** and transformation workflows using Databricks and Spark.
Build and optimize **ETL/ELT processes** to ingest, cleanse, and prepare large datasets.
Work with AWS services such as **S3, Lambda, IAM, ECS and CloudWatch** to support data architecture and operational needs.
Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.
Ensure data quality, reliability, and performance across all data systems.
Implement and enforce **best practices** for coding, version control, CI/CD, and environment management.
Monitor and troubleshoot data pipelines, ensuring high availability and timely delivery.
Contribute to architectural decisions, documentation, and process improvements.
Requirements
Strong hands-on experience with **AWS Cloud** (S3, Lambda, IAM, EC2 or equivalent).
Extensive experience with **Databricks**, Delta Lake, and Unity Catalog.
Proficiency in **Apache Spark** (PySpark preferred).
Strong programming skills in **Python**.
Excellent command of **SQL**, including performance tuning and working with large datasets.
Experience working in fast-paced, agile environments.
Strong problem-solving abilities and a proactive approach to identifying improvements.
Excellent communication and stakeholder management skills; able to collaborate across multiple teams.
Experience with data governance frameworks and tools (e.g., DataHub, Soda).
Experience with CI/CD tools (GitHub Actions).
Benefits
Fun, happy and politics-free work culture built on the principles of lean and self organisation;
Work with large scale systems powering global businesses;
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