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As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support data generation, collection, and processing. This role requires creating productive data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for multiple teams and applications. 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.
Lead efforts to optimize data workflows and improve system performance.




Mentor junior team members to support their qualified growth and skill development. Professional & Technical Skills:
Must To Have Skills: Proficiency in Google BigQuery.
Good To Have Skills: Experience with Tableau.
Solid knowledge of data pipeline architecture and data integration techniques.
Experience in designing and implementing ETL processes to handle large-scale data migration.
Ability to ensure data quality through validation, cleansing, and transformation methods.
Familiarity with cloud-based data storage and processing environments.

Additional Information: - The candidate should have minimum 5 years of experience in Google BigQuery.- This position is based at our Bengaluru office.- A 15 years full time education is required

📌 Data Engineer Bengaluru
🏢 AadhyaRaj Technologies
📍 Bengaluru