Job Title
AWS Data Engineer
Relevant Experience
in Yrs)
Must Have Technical / Functional Skills
- Bachelor’s degree in computer science, Information Systems, or a related field.
- Python Programming : Strong proficiency in Python for data manipulation, scripting, and ETL tasks.
- AWS Services : Experience with AWS services such as Glue, Lambda, S3, Redshift, and EMR.
- Big Data Technologies : Familiarity with big data technologies like Hadoop, Hive, and Spark.
- Data Modeling : Knowledge of data modeling concepts and best practices.
- SQL and NoSQL Databases : Proficiency in SQL and understanding of NoSQL databases.
- Data Governance and Security : Understanding of data governance principles and security practices.
Roles & Responsibilities
- Designing and Building Data Pipelines : Create efficient and scalable data pipelines using AWS services such as AWS Glue, Lambda, Step Functions, and S3.
- Data Ingestion and Transformation : Extract, transform, and load (ETL) data from various sources into AWS data lakes or data warehouses.
- Data Modeling and Warehousing : Design and implement data models for efficient querying and reporting.
- Data Governance and Security : Ensure data quality, governance, and security best practices.
- Collaboration : Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
AWS Data Engineer
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