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, Databricks Unified Data Analytics Platform, PySpark Good to have skills : NA Minimum 3 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 comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the seamless migration and deployment of data across various systems. The position demands continuous attention to data quality and the implementation of extract, transform, and load processes to facilitate smooth data flow and accessibility within the organization. Collaboration with different teams to align data infrastructure with business needs is also a key aspect of the daily routine. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions. - Monitor and optimize data pipelines to ensure high performance and reliability. - Document data processes and workflows to maintain clarity and support knowledge sharing. - Assist junior team members by providing guidance and support in their tasks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering, Databricks Unified Data Analytics Platform, PySpark. - Strong knowledge of data pipeline architecture and ETL process design. - Experience with distributed computing frameworks and big data technologies. - Ability to work with cloud-based data storage and processing platforms. - Familiarity with data quality assurance and data governance practices. Additional Information: - The candidate should have minimum 3 years of experience in Data Engineering. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.