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Job Title: AWS Data Engineer (Databricks) Experience: 4-8 Years Location: Bengaluru/Noida/Gandhi Nagar/Pune/Chennai Job Summary We are seeking an experienced AWS Data Engineer with strong expertise in Databricks, Apache Spark, AWS data services, Python/Scala, and SQL . The candidate will be responsible for designing, developing, and optimizing scalable ETL/ELT pipelines, supporting data lake and data warehouse solutions, and enabling data-driven business insights. Key Skills Databricks Apache Spark AWS (S3, Glue, Lambda, Redshift) Python or Scala Advanced SQL ETL/ELT Development Data Warehousing & Data Modeling Airflow / Databricks Workflows Key Responsibilities Build and maintain ETL/ELT pipelines in Databricks. Integrate Databricks with AWS data services. Develop and optimize Spark-based data processing solutions. Support data lake and data warehouse architectures. Implement workflow orchestration, data quality, and governance. Collaborate with stakeholders to deliver scalable data solutions. Qualifications 4-8 years of Data Engineering experience. Strong hands-on experience with Databricks and AWS data services. Proficiency in Python/Scala and SQL. Good understanding of data warehousing and data modeling. Mandatory Certification AWS Databricks Associate Certification (Mandatory)
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