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 : 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. 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 align data strategies and optimize workflows is an integral part of daily activities, contributing to the overall success of data management initiatives.
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 smooth operations and minimal disruptions.
- Mentor junior team members by sharing knowledge and best practices to foster professional growth and team cohesion.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in designing and optimizing data pipelines to handle large-scale data processing.
- Solid knowledge of data integration techniques and ETL process implementation.
- Ability to ensure data quality through validation, cleansing, and monitoring practices.
- Familiarity with cloud-based data platforms and distributed computing environments.
- Competence in troubleshooting and resolving complex data engineering issues.
Additional Information
- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Pune office.
- A 15 years full time education is required.
📌 Data Engineer (Pune)
🏢 Accenture in India
📍 Pune
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