Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
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: At least 5 years of experience in data engineering or a related field. We are seeking a highly skilled and experienced Data Engineer to develop solutions using PySpark and data warehousing technologies. This role requires expertise in both development and design, with the ability to guide a team and architect scalable, efficient data solutions. Roles & Responsibilities: -Design and Implementation of Docker and Kubernetes and ETL Processes Using PYSpark: Design, develop, and optimize ETL pipelines for data ingestion, transformation, and loading into the data warehouse. -Design and Maintain Data Warehouse Solutions: Develop and maintain data warehouse schemas, tables, and views to support analytics and reporting needs -Provide Technical Guidance and Mentorship to Junior Developers: Guide and support team members in their technical development, ensuring adherence to best practices and coding standards -Collaborate with Stakeholders to Understand Data Requirements: Work closely with business users and other stakeholders to understand their needs and ensure data solutions meet their requirements -Troubleshoot and Resolve Issues: Diagnose and resolve issues related to data processing, data quality, and data warehouse performance -Contribute to the Development of Data Governance Policies: Help define and implement data governance policies to ensure data quality, security, and compliance Professional & Technical Skills: - At least 5 years of experience in data engineering or a related field. -Extensive Experience with PySpark: Proficiency in Python programming, Spark architecture, Spark SQL, and Spark DataFrames, Docker and Kubernetes -Strong Knowledge of Data Warehousing Principles: Experience with data modeling, data warehousing architectures, and common data warehouse platforms (e.g., Snowflake, Redshift, BigQuery) -SQL Proficiency: Strong SQL skills, including experience with relational databases and data modeling -Experience with Cloud Platforms: Familiarity with cloud data warehousing services (e.g., AWS, Azure, Google Cloud) -Proven Ability to Deliver Data Solutions: Experience in designing, implementing, and maintaining data solutions Additional Information: - This position is based at our Pune 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.

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