Aws Data Engineer
Posted Updated
3 to 5 years of hands-on experience in Data Engineering.
- Strong experience in designing and developing ETL/ELT pipelines.
- Proficiency in SQL and Python programming.
- Hands-on experience with AWS services, including:
oAmazon Redshift
oAWS Lambda
oAmazon S3
oAWS Glue (preferred)
oAWS IAM
oAmazon CloudWatch
- Experience with workflow orchestration tools such as Apache Airflow (preferred).
- Understanding of data warehousing concepts and dimensional data modeling.
- Knowledge of version control systems such as Git.
- Experience writing unit tests and following software development best practices.
- Strong analytical, problem-solving, and debugging skills.
- Ability to manage multiple tasks and work effectively in a collaborative environment.
- Preferred Skills
- Experience with CI/CD pipelines and DevOps practices.
- Knowledge of Spark, PySpark, or Databricks is an advantage.
- Exposure to AI/ML data pipelines and feature engineering.
- Familiarity with Agile/Scrum development methodologies.
- AWS Certification (Developer Associate or Data Engineer Associate) is a plus.
- EDUCATION: Bachelors degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
- KEY SKILLS: Data Engineer, AWS, Python, Pyspark, ETL and SQL