Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Google Cloud Data Services, Python (Programming Language), Apache Airflow, GCP Dataflow
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will be responsible for designing and implementing data solutions that meet the needs of the organization and contribute to its overall success. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Design and develop data pipelines to extract, transform, and load data. - Ensure data quality and integrity throughout the data processing lifecycle. - Implement ETL processes to migrate and deploy data across systems. - Collaborate with cross-functional teams to understand data requirements and design appropriate solutions. Professional & Technical Skills: - Must Have Skills: Strong Proficiency in Python (Programming Language), Apache Airflow and Google Cloud Data Services. - Must Have Skills: 5+ years' experience in python programming experience in complex data structures as well as data pipeline development. - Must Have Skills: 5+ years' experience in python libraires Airflow, Pandas, Py Spark, Redis, SQL (or similar libraries). - Must Have Skills: 3+ Strong SQL programming experience in Mid/Advance functions like Aggregate Functions (SUM, AVG), Conditional Functions (CASE WHEN, NULLIF), Mathematical Functions (ROUND, ABS), Ranking Functions (RANK) and Windowing Functions etc. - Nice to Have Skills: 3+ years' experience in Dataflow, dataproc, Cloud Composer, Big Query, Cloud Storage, GKE, etc. - Nice to Have Skills: Alternative to Google Cloud, data pipeline development using python for 3+ years for any other cloud platform can be considered. • Strong of experience with one of the leading public clouds. • Strong of experience in design and build of salable data pipelines that deal with extraction, transformation, and loading. • Strong experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics. • Mandatory Experience: years of experience with Python with working knowledge on Notebooks. • Mandatory - years working on a cloud data projects Additional Information: - The candidate should have a minimum of 5 years of experience in Google Cloud Data Services. - This position is based at our Pune office. - A 15 years full time education is required.