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 : AWS Glue, PySpark Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems, collaborating with different teams to align data strategies with organizational goals, and continuously optimizing data workflows to support business needs. 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 efforts to identify and resolve data-related challenges, ensuring minimal disruption to operations. - Foster a collaborative environment that encourages knowledge sharing and continuous improvement within the team. - Support junior team members by providing guidance and facilitating their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering, AWS Glue, PySpark. - Good To Have Skills: Experience with AWS Glue, PySpark. - Strong knowledge of data pipeline architecture and best practices for data integration. - Experience with designing and implementing scalable ETL processes. - Familiarity with cloud-based data storage and processing solutions. - Ability to optimize data workflows for performance and reliability. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Engineering. - 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.