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We are seeking an AWS Data Engineer skilled in AWS, Python, PySpark, Glue, S3, Lambda, and other AWS data services. The role involves designing and implementing scalable data pipelines, performing ETL processes, and optimizing data workflows on AWS. Candidates must have hands-on experience with cloud-based data solutions, strong coding skills in Python, and expertise in distributed data processing with PySpark. Familiarity with AWS security, performance tuning, and automation is essential. A Bachelor's degree in Computer Science, Engineering, or related field is required.
Job ID: 128621699
Skills:
Metadata Management, Aws Redshift, AWS Glue, Data Warehousing, Data Governance, ELT, Etl, Data Cataloging
Skills:
Pytest, Apache Spark, Python, Apache Iceberg, data engineering basics, ETL pipelines
Skills:
amazon emr , Pyspark, Amazon S3, AWS Glue, Sql, Amazon Redshift, Python, Amazon Aurora
Skills:
Machine Learning, Apache Spark, Node.js, Natural Language Processing, Data mining, Python, AWS, Technical computing tools, Container orchestration, Managed cloud DB
Skills:
snowflake , S3, Pyspark, Pl Sql, Json, Apache Airflow, Lambda, Aws Cloud, Csv, Sparksql, Sql, DataFrames, RDD, dbt, Abinitio ETL, Parquet, Orchestration tools, Iceberg, Data ingestion, Lake Formation, Glue, Snowflake Tasks, Athena, AWS Data Analytics Technology Stack
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