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 robust 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 data-driven decision-making and operational needs.
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 workflows and improve system performance.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate with stakeholders to align data engineering efforts with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in PySpark.
- Experience in building scalable data pipelines and ETL processes using PySpark.
- Solid knowledge of distributed computing frameworks and big data technologies.
- Ability to work with large datasets and optimize data processing workflows.
- Familiarity with data storage solutions and data modeling concepts.
- Experience in troubleshooting and resolving data-related issues in complex environments.
Additiona
📌 Data Engineer (Kolkata)
🏢 Accenture
📍 Kolkata
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