Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services.

Accenture hiring fresher graduates with strong understanding of data modeling and database design principles, having familiarity with cloud platforms such as AWS or Azure for the role of Software Data Engineer.

Job Designation : Software Data Engineer

Salary : 4 LPA – 6 LPA

Qualification : Any Graduate

Experience : Freshers / 0 – 2 years

Skill Set :

  1. Proficiency in Data Engineering.
  2. Strong understanding of data modeling and database design principles.
  3. Familiarity with cloud platforms such as AWS or Azure.
  4. Expertise with big data technologies such as Hadoop or Spark.
  5. Good knowledge of data warehousing concepts and techniques.
  6. Experience with SQL and NoSQL databases.
  7. Solid understanding of data governance and security principles.
  8. Experience with ETL tools such as Apache NiFi or Talend.
  9. Good analytical and problem-solving skills.
  10. Proficient in verbal and communication skills.

Job Description : 

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.

  1. Expected to build knowledge and support the team.
  2. Participate in Problem Solving discussions.
  3. Design and develop data pipelines to extract, transform, and load data from various sources.
  4. Ensure data quality and integrity by implementing data validation and cleansing processes.
  5. Collaborate with cross-functional teams to understand data requirements and design efficient data solutions.
  6. Optimize and tune data pipelines for performance and scalability.
  7. Troubleshoot and resolve data-related issues and incidents.
  8. Stay updated with the latest trends and technologies in data engineering and recommend improvements to existing processes.
  9. Additional responsibility: Mentor and guide junior professionals in data engineering best practices.

Location : Mumbai, India

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