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 : Cloud Automation DevOps
Good to have skills : NA
Minimum 7.5 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 that facilitate 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 various systems. You will collaborate with cross-functional teams to enhance data accessibility and reliability, contributing to the overall data strategy of the organization.
Roles & Responsibilities:
- Works largely independently within defined projects/work streams and is checked on end results.
- Has an executional role in design and development projects or acts as an expert tester who designs test scripts and provides overall project guidance and planning support.
- Advises internally on solving functional and technical problems regarding the assigned applications and Infrastructure.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Cloud Automation DevOps.
- Strong understanding of data pipeline architecture and design.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with containerization technologies like Docker and Kubernetes.
- Knowledge of scripting languages such as Python or Bash for automation tasks.
Primary Skills: ADF – Mastery, Databricks – Mastery, PySpark – Mastery, SQL – Mastery, GitHub & CI/CD – Mastery, Delivery Leadership Experience – Skilled, Performance Optimization – Skilled in optimizing SQL and data processing for performance improvement and cost reduction, Troubleshooting & Orchestration – Skilled, Testing – Ability to design and execute comprehensive unit testing strategies, AAS (optional)
Secondary Skills: Power BI, Log & Analytics Review – Ability to interpret and analyze system logs, Power Apps / Power Automate, Databricks: Unity Catalog, SQL Endpoints, Delta Live Tables, PBAC / RBAC
Additional Information:
- The candidate should have minimum 7.5 years of experience in Cloud Automation DevOps.
- This position is based at our Bengaluru office.
- Minimum: 6-8 year(s) of experience is required
- Educational Qualification : 15 years full time education15 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 : Cloud Automation DevOps
Good to have skills : NA
Minimum 7.5 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 that facilitate 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 various systems. You will collaborate with cross-functional teams to enhance data accessibility and reliability, contributing to the overall data strategy of the organization.
Roles & Responsibilities:
- Works largely independently within defined projects/work streams and is checked on end results.
- Has an executional role in design and development projects or acts as an expert tester who designs test scripts and provides overall project guidance and planning support.
- Advises internally on solving functional and technical problems regarding the assigned applications and Infrastructure.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Cloud Automation DevOps.
- Strong understanding of data pipeline architecture and design.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with containerization technologies like Docker and Kubernetes.
- Knowledge of scripting languages such as Python or Bash for automation tasks.
Primary Skills: ADF – Mastery, Databricks – Mastery, PySpark – Mastery, SQL – Mastery, GitHub & CI/CD – Mastery, Delivery Leadership Experience – Skilled, Performance Optimization – Skilled in optimizing SQL and data processing for performance improvement and cost reduction, Troubleshooting & Orchestration – Skilled, Testing – Ability to design and execute comprehensive unit testing strategies, AAS (optional)
Secondary Skills: Power BI, Log & Analytics Review – Ability to interpret and analyze system logs, Power Apps / Power Automate, Databricks: Unity Catalog, SQL Endpoints, Delta Live Tables, PBAC / RBAC
Additional Information:
- The candidate should have minimum 7.5 years of experience in Cloud Automation DevOps.
- This position is based at our Bengaluru office.
- Minimum: 6-8 year(s) of experience is required
- Educational Qualification : 15 years full time education15 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
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.
