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. Role Overview Seeking a PySpark Data Engineer with at least 2 years of hands-on experience in developing scalable data pipelines, ETL processes, and big data solutions using PySpark and Python. The ideal candidate will have experience working with large datasets, distributed data processing frameworks, and modern cloud-based data platforms. Key Responsibilities Develop and maintain ETL/ELT pipelines using PySpark. Build and optimize data processing workflows for large-scale datasets. Implement data transformation, validation, and cleansing logic. Write efficient Spark SQL and Python code for data engineering solutions. Troubleshoot and optimize Spark jobs for performance and scalability. Collaborate with architects, analysts, and business stakeholders to deliver data solutions. Support data quality, governance, and production operations. Required Skills 2+ years of experience with PySpark. Strong proficiency in Python and SQL. Experience with data engineering, ETL/ELT development, and data transformation. Good understanding of Apache Spark architecture and distributed computing concepts. Experience working with large datasets and performance optimization. Familiarity with data warehousing and data modeling concepts. Experience with Git and software development best practices. Preferred Skills Databricks. Snowflake, BigQuery, Synapse, Redshift, or other cloud data warehouses. Azure, AWS, or GCP. Kafka or streaming technologies. Airflow or other orchestration tools. Delta Lake and Lakehouse architecture. Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. Relevant certifications such as Databricks, Azure Data Engineer, AWS Data Analytics, or Google Professional Data Engineer are a plus. Minimum 5 year(s) of experience is required 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 at [www.accenture.com](http://www.accenture.com/) Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.