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AWS Cloud Data Specialist

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Job Title: Data Engineering ExpertAre you a skilled data engineer looking to drive business growth through innovative data solutions?
  • We are seeking a highly motivated and experienced Data Engineer to join our team.
  • The ideal candidate will have a strong background in designing, developing, and maintaining large-scale data pipelines using AWS services like S3, Glue, and Redshift.
  • You will work closely with cross-functional teams to design and implement robust ETL pipelines using PySpark, focusing on performance, scalability, and data quality.
  • Your expertise in leading and managing projects, including planning, execution, testing, and documentation, is also essential.
  • A strong understanding of Python and its data science libraries, along with PySpark for distributed data processing, is necessary.
  • Additionally, proficiency in PL/SQL, T-SQL for data querying, manipulation, and database interactions is required.
Key Responsibilities:
  • Design, develop, and maintain large-scale data pipelines using AWS services.
  • Implement robust ETL pipelines using PySpark.
  • Lead and manage projects from planning to execution and documentation.
  • Maintain a deep understanding of Python and its data science libraries.
  • Ensure data quality and performant data processing.
Bonus Skills:
  • Snowflake experience is a major plus.
  • Palantir Foundry knowledge would be beneficial.
Required Qualifications:
  • 5+ years working experience in data integration and pipeline development.
  • 5+ years of experience with AWS Cloud on data integration with a mix of Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems, Databricks, Redshift experience is a major plus.
  • 3+ years of experience using SQL in related development of data warehouse projects/applications (Oracle & SQL Server).
  • Strong real-life experience in Python development especially in PySpark in AWS Cloud environment.
Preferred Qualifications:
  • SQL and NoSQL databases like MySQL, Postgres, DynamoDB, Elasticsearch Workflow management tools like Airflow.