Data Engineer

Data Engineer

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 7.5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization.

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.
• Mentor junior team members to enhance their skills and knowledge in data engineering.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in PySpark.
• Strong understanding of data pipeline architecture and design.
• Experience with ETL processes and data integration techniques.
• Familiarity with data warehousing concepts and technologies.
• Knowledge of data quality frameworks and best practices.

Additional Information:

• The candidate should have minimum 7.5 years of experience in PySpark.
• This position is based at our Pune office.
• A 15 years full time education is required.

About Accenture

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