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 : Databricks Unified Data Analytics Platform
Good to have skills : Business Intelligence (BI) Reporting Tools, Python (Programming Language), Data Engineering
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and reliability of data, and implementing processes to extract, transform, and load data across various systems. The position requires continuous monitoring and optimization of data workflows to support organizational needs and enable seamless data migration and deployment.
Data Engineering Developer
Roles & Responsibilities:
- Build and maintain ingestion pipelines from source systems into Azure Data Lake develop transformation logic using Databricks (notebooks, Delta Live Tables), Python and PySpark implement incremental, change-data and full-refresh patterns build and manage ADF orchestration workflows implement data-quality checks and validation via Unity Catalog maintain data lineage and metadata write unit and integration tests support onboarding of new sources provide L2/L3 support for production pipelines.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Good To Have Skills: Experience with Python (Programming Language), Data Engineering, Business Intelligence (BI) Reporting Tools.
- Strong understanding of data pipeline architecture and ETL processes.
- Experience with data quality assurance and validation techniques.
- Familiarity with cloud-based data platforms and distributed computing.
- Ability to optimize data workflows for performance and scalability.
Additional Information:
- The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
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 : Databricks Unified Data Analytics Platform
Good to have skills : Business Intelligence (BI) Reporting Tools, Python (Programming Language), Data Engineering
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and reliability of data, and implementing processes to extract, transform, and load data across various systems. The position requires continuous monitoring and optimization of data workflows to support organizational needs and enable seamless data migration and deployment.
Data Engineering Developer
Roles & Responsibilities:
- Build and maintain ingestion pipelines from source systems into Azure Data Lake develop transformation logic using Databricks (notebooks, Delta Live Tables), Python and PySpark implement incremental, change-data and full-refresh patterns build and manage ADF orchestration workflows implement data-quality checks and validation via Unity Catalog maintain data lineage and metadata write unit and integration tests support onboarding of new sources provide L2/L3 support for production pipelines.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Good To Have Skills: Experience with Python (Programming Language), Data Engineering, Business Intelligence (BI) Reporting Tools.
- Strong understanding of data pipeline architecture and ETL processes.
- Experience with data quality assurance and validation techniques.
- Familiarity with cloud-based data platforms and distributed computing.
- Ability to optimize data workflows for performance and scalability.
Additional Information:
- The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Bengaluru 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 at www.accenture.com
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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.
