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Job Description
- As a Senior Developer in AWS Data Engineering, you will be responsible for utilizing your expertise in AWS Glue, Spark, S3, Redshift, Python, and SQL to design, build, and optimize large-scale data pipelines on the AWS platform. This role presents an exciting opportunity to create high-performance analytics and AI-ready data platforms.
Your primary responsibilities will include building and managing data pipelines using Glue, Spark, and S3. You will also be tasked with optimizing Redshift queries, schema, and performance, as well as supporting large-scale data ingestion and transformation processes. Additionally, you will integrate with upstream APIs and external platforms to ensure seamless data flow. Monitoring data reliability, observability, and performance will be a key aspect of your role.
To excel in this position, you should possess strong expertise in AWS Glue, S3, and Redshift, along with proficiency in Python, SQL, and Spark. A solid understanding of data warehouse and data lake concepts is essential, as well as experience with incremental pipelines and orchestration. Knowledge of monitoring and debugging best practices will further enhance your capabilities in this role.
This position is based in Pune & Noida.,
Skills
PythonDebuggingDeveloperSqlRedshiftS3SQLPythonSparkAWS GlueIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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