Data Engineer

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 : Databricks Unified Data Analytics Platform
Good to have skills : Python (Programming Language), Microsoft Azure Databricks, PySpark
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to optimize data workflows and support organizational data needs is a key aspect of daily activities, contributing to the overall data infrastructure and operational excellence. 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 pipeline performance and scalability.
• Mentor junior team members to enhance their technical skills and project contributions.
• Coordinate cross-functional initiatives to align data engineering efforts with business objectives.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Microsoft Azure Databricks, Python (Programming Language), PySpark.
• Good To Have Skills: Experience with Microsoft Azure Databricks, Python (Programming Language), PySpark.
• Strong knowledge of data pipeline architecture and best practices for ETL processes.
• Experience in managing large-scale data processing and integration tasks.
• Ability to troubleshoot and resolve complex data-related issues efficiently.
• Familiarity with cloud-based data platforms and distributed computing environments.

Additional Information:

• The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.