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 : PySpark Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development process. You will be responsible for delivering high-quality code while adhering to best practices and project timelines, ensuring that the applications meet the needs of the clients effectively. Roles & Responsibilities: - Ability to design, build and unit test applications on Spark framework on Python. Build PySpark based applications for both batch and streaming requirements, which will require in-depth knowledge on majority of Hadoop and NoSQL databases as well. Develop and execute data pipeline testing processes and validate business rules and policies Optimize performance of the built Spark applications in Hadoop using configurations around Spark Context, Spark-SQL, Data Frame, and Pair RDD's. Participate in the agile development process, and document and communicate issues and bugs relative to data standards in scrum meetings Work collaboratively with onsite and offshore team. Develop & review technical documentation for artifacts delivered. Ability to solve complex data-driven scenarios and triage towards defects and production issues Ability to learn-unlearn-relearn concepts with an open and analytical mindset Participate in code release and production deployment. Challenge and inspire team members to achieve business results in a fast paced and quickly changing environment Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. -Good implementation experience of OOPS concepts. Hands-on experience writing complex SQL queries, exporting, and importing large amounts of data using utilities.. Ability to build abstracted, modularized reusable code components.. Hands-on experience in generating/parsing XML, JSON documents, and REST API request/responses Additional Information: - The candidate should have minimum 5 years of experience in PySpark. - This position is based at our Mumbai 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.