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 : Databricks Unified Data Analytics Platform Good to have skills : Microsoft Azure Data Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Exception - New project 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 integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for organizational needs. Collaboration with different teams to align data strategies and troubleshoot data-related challenges is an integral part of the daily routine. 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. - Lead the design and implementation of scalable data architectures that meet evolving business requirements. - Mentor junior team members to enhance their technical skills and support their professional growth. - Coordinate cross-functional efforts to optimize data workflows and improve overall system performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Microsoft Azure Data Services. - Good To Have Skills: Experience with Microsoft Azure Data Services. - Strong knowledge of data pipeline development and orchestration techniques. - Experience with data quality assurance and validation methods. - Familiarity with cloud-based data storage and processing solutions. - Ability to troubleshoot and optimize ETL processes for performance and reliability. Additional Information: - The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru 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.