Job Description

Key Responsibilities

  • Develop and maintain data pipelines and analytics solutions using Databricks and Spark
  • Write production-ready Python and SQL code for data processing and analysis
  • Work with Unix/Linux environments for ETL and data pipeline execution
  • Leverage AWS cloud services such as Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, and IAM
  • Perform real-time analytics and large-scale data processing
  • Document and maintain technical solutions and BI/analytics workflows
  • Collaborate with cross-functional teams to deliver data-driven solutions


Skills Required
Databricks, Aws Cloud, Python, Sql, Lambda, Step Functions

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