Design, develop, and maintain scalable data solutions, pipelines, and ETL processes using Databricks, Azure Databricks, PySpark, and Python. Ensure data quality, integration, migration, and workflow performance across systems. Lead data architecture implementation, translate stakeholder requirements into technical solutions, make team decisions, collaborate across multiple teams, and mentor junior engineers. Continuously improve data processes for efficiency, reliability, and scalability.
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 : Python (Programming Language), Microsoft Azure Databricks, PySpark
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure high data quality. Your role includes implementing extract, transform, and load processes to migrate and deploy data seamlessly across various systems. You will work closely with different teams to optimize data handling and contribute to the overall data infrastructure, ensuring that data is accessible, reliable, and well-organized for business needs.
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 the design and implementation of scalable data architectures to support business objectives.
- Coordinate with stakeholders to understand data requirements and translate them into technical solutions.
- Mentor junior team members to enhance their technical skills and promote best practices.
- Continuously evaluate and improve existing data processes to increase efficiency and reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Microsoft Azure Databricks, PySpark, Python (Programming Language).
- Good To Have Skills: Experience with Microsoft Azure Databricks, PySpark, Python (Programming Language).
- Strong knowledge of data pipeline development and orchestration techniques.
- Experience with data integration, transformation, and migration strategies.
- Familiarity with cloud-based data platforms and distributed computing environments.
- Ability to troubleshoot and optimize data workflows for performance and scalability.
Additional Information:
- The candidate should have minimum 5 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 : Python (Programming Language), Microsoft Azure Databricks, PySpark
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure high data quality. Your role includes implementing extract, transform, and load processes to migrate and deploy data seamlessly across various systems. You will work closely with different teams to optimize data handling and contribute to the overall data infrastructure, ensuring that data is accessible, reliable, and well-organized for business needs.
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 the design and implementation of scalable data architectures to support business objectives.
- Coordinate with stakeholders to understand data requirements and translate them into technical solutions.
- Mentor junior team members to enhance their technical skills and promote best practices.
- Continuously evaluate and improve existing data processes to increase efficiency and reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Microsoft Azure Databricks, PySpark, Python (Programming Language).
- Good To Have Skills: Experience with Microsoft Azure Databricks, PySpark, Python (Programming Language).
- Strong knowledge of data pipeline development and orchestration techniques.
- Experience with data integration, transformation, and migration strategies.
- Familiarity with cloud-based data platforms and distributed computing environments.
- Ability to troubleshoot and optimize data workflows for performance and scalability.
Additional Information:
- The candidate should have minimum 5 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
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.
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