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 : PySpark

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 includes creating productive data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. The work environment encourages collaboration with multiple teams to optimize data workflows and support organizational data needs effectively.

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 communication to align data engineering efforts with business objectives.

Professional & Technical Skills:

Must To Have Skills: Proficiency in PySpark.
Experience in building and managing scalable data pipelines and workflows.
Strong knowledge of data processing frameworks and distributed computing.
Ability to troubleshoot and optimize complex data processing tasks.
Familiarity with data storage solutions and data integration techniques.
Understanding of data quality assurance

📌 Data Engineer (Pune)
🏢 Accenture in India
📍 Pune