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 : Apache Spark
Good to have skills : Apache Kafka, Google Dataproc, Apache Airflow
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and optimizing data infrastructure to support the organization's data needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Design and develop scalable and efficient data pipelines. - Ensure data quality and integrity throughout the data lifecycle. - Implement ETL processes to migrate and deploy data across systems. - Collaborate with cross-functional teams to understand data requirements and deliver solutions. - Optimize and maintain data infrastructure to support data processing and analysis. - Stay updated with the latest industry trends and technologies in data engineering. - Provide technical guidance and mentorship to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark, Apache Kafka, Google Dataproc, Apache Airflow. - Strong understanding of distributed computing principles and big data processing frameworks. - Experience with data modeling and database design. - Hands-on experience with SQL and NoSQL databases. - Familiarity with cloud platforms such as AWS or GCP. Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP) - Knowledge of data warehousing concepts and techniques. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. • Strong experience with multiple database models ( SQL, NoSQL, OLTP and OLAP) • Strong experience with Data Streaming Architecture ( Kafka, Spark, Airflow) • Strong knowledge of cloud data platforms and technologies such as GCS, BigQuery, Cloud Composer, Dataproc and other cloud-native offerings • Knowledge of Infrastructure as Code (IaC) and associated tools (Terraform, ansible etc) • Experience pulling data from a variety of data source types including Mainframe EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series) • Comfortable communicating with various stakeholders (technical and non-technical) • GCP Data Engineer Certification is a nice to have Additional Information: - The candidate should have a minimum of 3 years of experience in Apache Spark. - This position is based in Mumbai. - 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 750,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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

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.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.