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.
Robust analytical, problem-solving, and debugging skills.
Ability to manage multiple tasks and work effectively in a cooperative workplace.




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

📌 Aws Data Engineer Bengaluru
🏢 Crescendo Global Leadership Hiring India
📍 Bengaluru