Designs, develops, and maintains scalable data solutions, pipelines, and ETL processes using Microsoft Azure Databricks. Ensures data quality, supports data migration and deployment across systems, optimizes pipeline performance, and collaborates with multiple teams. Acts as a subject matter expert, makes team decisions, mentors engineers, and coordinates cross-functional data initiatives.
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 : Microsoft Azure Databricks
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, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that enable smooth migration and deployment of data across various systems, collaborating with different teams to support organizational data needs and optimize data workflows.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to optimize data pipeline performance and scalability.
- Facilitate knowledge sharing and mentoring within the team to support professional growth.
- Coordinate cross-functional initiatives to align data engineering efforts with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Azure Databricks.
- Experience with data pipeline orchestration and workflow management.
- Strong understanding of cloud-based data storage and processing architectures.
- Ability to design and implement scalable ETL processes.
- Familiarity with data quality frameworks and monitoring techniques.
- Knowledge of distributed computing and big data technologies.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Microsoft Azure Databricks.
- This position is based at our PDC2C - SEZ 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 : Microsoft Azure Databricks
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, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that enable smooth migration and deployment of data across various systems, collaborating with different teams to support organizational data needs and optimize data workflows.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to optimize data pipeline performance and scalability.
- Facilitate knowledge sharing and mentoring within the team to support professional growth.
- Coordinate cross-functional initiatives to align data engineering efforts with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Azure Databricks.
- Experience with data pipeline orchestration and workflow management.
- Strong understanding of cloud-based data storage and processing architectures.
- Ability to design and implement scalable ETL processes.
- Familiarity with data quality frameworks and monitoring techniques.
- Knowledge of distributed computing and big data technologies.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Microsoft Azure Databricks.
- This position is based at our PDC2C - SEZ 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
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.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
