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 : DevOps
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 optimize data workflows and troubleshoot issues is a key part of daily activities, ensuring that data infrastructure supports organizational needs effectively and reliably.
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 the development and optimization of data pipelines to support business requirements.
- Coordinate with stakeholders to align data engineering efforts with project goals and timelines.
- Mentor junior team members to foster skill development and knowledge sharing.
- Continuously evaluate and improve data processing systems to enhance performance and scalability.
Professional Technical Skills:
Must To Have Skills:
- Proficiency in DevOps.
- Experience with infrastructure automation and configuration management tools.
- Robust knowledge of continuous integration and continuous deployment pipelines.
- Familiarity with cloud platforms and container orchestration technologies.
- Ability to monitor and troubleshoot complex data workflows and system performance.
- Understanding of scripting and programming languages relevant to automation and data processing.
- The candidate should have minimum 5 years of experience in DevOps.
- This position is based at our Pune office.
- A 15 years full time education is required.
Qualification 15 years full time education
📌 Data Engineer (Maharashtra)
🏢 Accenture
📍 Maharashtra
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