Data Engineer

Responsibilities will include Functional Expertise Collaborating closely with multiple teams to translate the requirements into technical specifications. Offering clear technical guidance and direction to ensure solutions meet user and tech requirements. Leading technical discussions, code reviews to maintain code quality, identify improvement opportunities, and ensure adherence to standards. Staying updated on the latest data engineering trends and applying them to solve complex challenges. Problem Solving & Communication : Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Providing guidance and mentorship to other team members , fostering their professional growth and skill development. Experience working with Fintech institutions is a plus. Qualification & Experience (type & industry) B.Tech Degree Skills & know-how Experience level: 3-5 years Minimum 2 years relevant experience in AWS Cloud Data Warehousing experience - Cloud data warehouse - Redshift/SQL In-memory framework exp - Pyspark Data engineering pipeline use case experience : Ingestion of data from different sources to Cloud file system(S3 buckets) and then transforming/processing the data using AWS Glue and finally loading the same to cloud warehouse for Data analytics Big data use cases : Exposure to huge data volumes involving TBs of data for storage/migration/processing. Programming experience in Python Familiarity with Reports/Dashboards using cloud native applications Knowledge of data pipeline orchestration using Airflow - good to have. Understanding of API development Show more Show less