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 : Apache Spark
Valuable to have skills : NA
Minimum 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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of 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 Apache Spark. - 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 Apache Spark. - This position is based in Chennai. - A 15 years full time education is required.

15 years full time education

📌 Data Engineer (Pune)
🏢 Accenture
📍 Pune