Engineer

Job Title

AWS Data Engineer

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 Gove rnance and Security: Understanding of data governance principles and security practices.

Experience Required

6+

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.

Generic Managerial Skills

• Gather requirements from the customer.

• Train / manage a team of 2-3 developers

Education

Bachelor's degree in computer science, Information Systems, or a related field.