Data Engineer

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 : Microsoft Azure Databricks
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, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that enable smooth migration and deployment of data across various systems, collaborating with different teams to support organizational data needs and optimize data workflows.

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 identify and resolve data-related challenges, ensuring seamless data flow and accessibility.
- Facilitate knowledge sharing and mentoring within the team to foster continuous learning and development.
- Coordinate with stakeholders to align data engineering activities with business objectives and project goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Azure Databricks.
- Experience with building scalable and reliable data pipelines using cloud-based platforms.
- Strong understanding of data integration, transformation, and ETL processes.
- Familiarity with data storage solutions and data warehousing concepts.
- Ability to optimize data workflows for performance and cost efficiency.
- Knowledge of scripting and automation to support data engineering tasks.

Additional Information:
- The candidate should have minimum 5 years of experience in Microsoft Azure Databricks.
- This position is based at our KDC1A - SEZ location.
- A 15 years full time education is required.