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), Data Engineering, Business Intelligence (BI) Reporting Tools
Minimum
3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform, and load data across various systems, enabling seamless data migration and deployment. Collaboration with different teams to understand data requirements and optimize data architecture is an integral part of your daily activities, ensuring that data solutions align with organizational needs and support business objectives.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather and analyze data requirements and translate them into technical solutions.
- Monitor and optimize data pipelines to improve performance and reliability.
- Document data processes and workflows to maintain clarity and support knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Business Intelligence (BI) Reporting Tools, Python (Programming Language), Data Engineering.
- Good To Have Skills: Experience with Business Intelligence (BI) Reporting Tools, Python (Programming Language), Data Engineering.
- Strong knowledge of data pipeline architecture and best practices for data integration and transformation.
- Experience with cloud-based data platforms and scalable data processing frameworks.
- Ability to troubleshoot and resolve data quality issues effectively.
- Familiarity with scripting and automation to streamline data workflows.
Additional Information:
- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at Client Onsite - Within India.
- A 15 years full time education is required.
