AWS Data Engineer
Job Description
Title: Sr. AWS Data Engineer
Location: Remote
Experience: 6–12 Years
Mandatory Skills
- Strong experience with Amazon Redshift (Candidates with strong Snowflake or Google BigQuery experience can also be considered.)
- Advanced SQL skills with experience writing and optimizing complex queries.
- Strong understanding of Data Warehouse concepts and Dimensional Modelling (Star & Snowflake Schemas).
- Strong hands-on experience with Python for data engineering and automation.
- Excellent Data Analysis and problem-solving skills.
- Experience with Git-based CI/CD (GitHub/GitLab).
- Experience leveraging AI-assisted development tools (GitLab Duo, Gemini, Copilot, ChatGPT, or similar) to improve engineering productivity.
Preferred Skills
- Experience with orchestration tools such as Apache Airflow, Mage, or equivalent.
- Hands-on experience with AWS services such as S3, RDS PostgreSQL, and IAM.
- Experience with dbt.
- Experience supporting production data pipelines, troubleshooting issues, and handling day-to-day engineering operations.
More Info
Key Skills
Dimensional Modelling
Copilot
AI-assisted development tools
Snowflake Schema
Google BigQuery
Mage
GitLab Duo
ChatGPT
About Company
Skills:
snowflake , Informatica, Data Warehousing, Redshift, Databricks, Talend, Python, Etl, Aws S3, Airflow, AWS EMR, Luigi, Business intelligence, Azkaban, Athena
Skills:
Distributed Computing, Scala, Spark, Sql, S3, Emr, Redshift, ELT, Lambda, Etl, AWS Data Engineering, Airflow, Step Functions, AWS Cloud Services, Data Pipeline Orchestration tools, Glue, Athena
Skills:
snowflake , Aws Services, Terraform, Pyspark, Python, Sql, dbt