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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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