AWS Data Engineer
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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:
Aws Lambda, AWS Glue, Data Warehousing, AWS Athena, Databricks, Sql, data lakes, AWS Step Functions, AWS EMR, Amazon QuickSight, distributed processing
Skills:
snowflake , Apache Airflow, Aws Lambda, Git, Pyspark, AWS Glue, Spark, Shell scripting, Python, Sql, Matillion
Skills:
Machine Learning, Apache Spark, Node.js, Natural Language Processing, Data mining, Python, AWS, Technical computing tools, Container orchestration, Managed cloud DB
Skills:
Linux Administration, Github, Cloudformation, Apache Spark, Shell Scripting, Apache Airflow, Jenkins, Terraform, Docker, Ansible, Gitlab, Kubernetes, FinOps Principles, AWS Cloud Infrastructure, EKS, AWS Well-Architected Framework, Observability Tools, cost optimisation
Skills:
snowflake , Java, Pytest, Rust, Pyspark, PostgreSQL, Scala, Apache Spark, Git, Terraform, Databricks, Python, AWS, Go, Aurora
