Live opening · Posted 27 days ago
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About the role
Description supplied by the original job listing.
Requirements:
Expert-level SQL: Strong proficiency in writing complex, optimized SQL queries (especially for Amazon Redshift).
Experience with Apache Spark (preferably on AWS EMR) for big data processing.
Proven experience using AWS Glue for ETL pipelines (working with RDS, S3 etc. ).
Strong understanding of data ingestion techniques from diverse sources (files, APIs, relational DBs).
Solid hands-on experience with Amazon Redshift: data modeling, optimization, and query tuning.
Familiarity with AWS Quicksight for building dashboards and visual analytics.
Proficient in Python or PySpark for scripting and data transformation.
Understanding of data pipeline orchestration, version control, and basic DevOps.
Knowledge of other AWS services (Lambda, Step Functions, Athena, CloudWatch).
Experience with workflow orchestration tools like Apache Airflow.
Exposure to real-time streaming tools (Kafka, Kinesis, etc. ).
Familiarity with data security, compliance, and governance best practices.
Experience with infrastructure as code (e. g., Terraform, CloudFormation).
Experience
8-12 yrs
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