Design, develop, and maintain data solutions, pipelines, and ETL processes using Databricks. Ensure data quality through validation, cleansing, and monitoring; support data migration across systems; troubleshoot complex engineering issues; collaborate across teams; and mentor junior staff.
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 : NA
Minimum 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. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, contributing to the overall success of data management initiatives.
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 identify and resolve data-related challenges, ensuring smooth operations and minimal disruptions.
- Mentor junior team members by sharing knowledge and best practices to foster professional growth and team cohesion.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in designing and optimizing data pipelines to handle large-scale data processing.
- Strong knowledge of data integration techniques and ETL process implementation.
- Ability to ensure data quality through validation, cleansing, and monitoring practices.
- Familiarity with cloud-based data platforms and distributed computing environments.
- Competence in troubleshooting and resolving complex data engineering issues.
Additional Information:
- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Pune 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 : NA
Minimum 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. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, contributing to the overall success of data management initiatives.
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 identify and resolve data-related challenges, ensuring smooth operations and minimal disruptions.
- Mentor junior team members by sharing knowledge and best practices to foster professional growth and team cohesion.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in designing and optimizing data pipelines to handle large-scale data processing.
- Strong knowledge of data integration techniques and ETL process implementation.
- Ability to ensure data quality through validation, cleansing, and monitoring practices.
- Familiarity with cloud-based data platforms and distributed computing environments.
- Competence in troubleshooting and resolving complex data engineering issues.
Additional Information:
- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Pune 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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