Data Engineer Databricks & AWS Redshift Infiniti Research

2.0 - 6.0 years

8 - 12 Lacs

bengaluru

Work from Office

Role & responsibilities Develop and maintain scalable ETL/ELT pipelines using Databricks (PySpark, Delta Lake). Design and optimize data models in AWS Redshift for performance and scalability. Manage Redshift clusters and EC2-based deployments, ensuring reliability and cost efficiency. Integrate data from diverse sources (structured/unstructured) into centralized data platforms. Implement data quality checks, monitoring, and logging across pipelines. Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets. Required Skills & Experience: 36 years of experience in data engineering. Strong expertise in Databricks (Spark, Delta Lake, notebooks, job orchestration). Hands-on experience with AWS Redshift (cluster management, performance tuning, workload optimization). Proficiency with AWS EC2, S3, and related AWS services. Strong SQL and Python skills. Experience with CI/CD and version control (Git). Preferred candidate profile We are seeking a skilled Data Engineer with hands-on experience in Databricks and AWS Redshift (including EC2 deployments) to design, build, and optimize data pipelines that support analytics and business intelligence initiatives.

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