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.