Design and refine the organization's data platform blueprint, collaborate with architects, lead and mentor teams, build scalable data pipelines, optimize platform performance, and resolve complex data integration challenges to ensure reliable data flow and accessibility.
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education Databricks Certification Must
Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration of various systems and data models. The position demands active engagement in aligning platform components to support organizational data needs, fostering a cohesive and efficient data environment. The engineer plays a vital role in shaping the infrastructure that supports data flow and accessibility across multiple teams and projects, ensuring that the platform evolves in line with business objectives and technological advancements.
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 platform performance and scalability.
- Facilitate knowledge sharing and mentorship within the team to support professional growth.
- Coordinate cross-functional initiatives to align data platform strategies with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with data pipeline development and management.
- Strong understanding of data storage solutions and cloud-based data platforms.
- Familiarity with data integration techniques and tools.
- Ability to work with large-scale data processing frameworks and optimize workflows.
Additional Information:
- The candidate should have minimum 8 years of experience in Data Engineering.
- This position is based at our CDC2A - SEZ location.
- A 15 years full time education is required, along with Databricks Certification.
15 years full time education Databricks Certification Must
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education Databricks Certification Must
Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration of various systems and data models. The position demands active engagement in aligning platform components to support organizational data needs, fostering a cohesive and efficient data environment. The engineer plays a vital role in shaping the infrastructure that supports data flow and accessibility across multiple teams and projects, ensuring that the platform evolves in line with business objectives and technological advancements.
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 platform performance and scalability.
- Facilitate knowledge sharing and mentorship within the team to support professional growth.
- Coordinate cross-functional initiatives to align data platform strategies with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with data pipeline development and management.
- Strong understanding of data storage solutions and cloud-based data platforms.
- Familiarity with data integration techniques and tools.
- Ability to work with large-scale data processing frameworks and optimize workflows.
Additional Information:
- The candidate should have minimum 8 years of experience in Data Engineering.
- This position is based at our CDC2A - SEZ location.
- A 15 years full time education is required, along with Databricks Certification.
15 years full time education Databricks Certification Must
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.
