Accenture Hiring Data Engineer Salary : 4.5 LPA - 6 LPA Freshers / Experienced Candidates Can Apply

Accenture Hiring  Data Engineer Salary : 4.5 LPA - 6 LPA Freshers / Experienced Candidates Can Apply 



Company : Accenture  

Job Category :-  Data Engineer 







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 : Data Engineering

Good to have skills : NA

Minimum 0-2 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 for 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 systems. You will play a crucial role in managing and optimizing data infrastructure to support the organization's data needs. Roles & Responsibilities: - Expected to build knowledge and support the team. - Participate in Problem Solving discussions. - Design and develop data pipelines to extract, transform, and load data from various sources. - Ensure data quality and integrity by implementing data validation and cleansing processes. - Collaborate with cross-functional teams to understand data requirements and design efficient data solutions. - Optimize and tune data pipelines for performance and scalability. - Troubleshoot and resolve data-related issues and incidents. - Stay updated with the latest trends and technologies in data engineering and recommend improvements to existing processes. - Additional responsibility: Mentor and guide junior professionals in data engineering best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering. - Strong understanding of data modeling and database design principles. - Experience with ETL tools such as Apache NiFi or Talend. - Familiarity with cloud platforms such as AWS or Azure. - Good To Have Skills: Experience with big data technologies such as Hadoop or Spark. - Knowledge of data warehousing concepts and techniques. - Experience with SQL and NoSQL databases. - Solid understanding of data governance and security principles. Additional Information: - The candidate should have a minimum of 0-2 years of experience in Data Engineering. - This position is based at our Ahmedabad office. - A 15 years full-time education is required.






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