Location: Indore, India

Experience: 4+ years

Key Responsibilities:

Design, implement, and maintain scalable data pipelines and ETL processes.
Develop and optimize data architectures using AWS services.
Work with Databricks to manage and process large datasets efficiently.
Write complex SQL queries to extract, transform, and load data.
Develop and maintain data models, databases, and data warehouses.
Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
Ensure data quality, integrity, and security across all data platforms.
Monitor and troubleshoot data pipeline issues to ensure smooth operation.
Stay updated with the latest industry trends and technologies in data engineering.

Required Skills and Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.
4+ years of experience in data engineering or a similar role.
Strong experience with AWS services (e.g., S3, Redshift, Glue, Lambda).
Proficiency in Databricks and working with large-scale data processing.
Advanced SQL skills with experience in writing and optimizing complex queries.
Proficiency in Python for data manipulation and automation.
Experience with data modeling, ETL processes, and data warehousing concepts.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team.

AWS Data Engineer