Design, develop, and maintain scalable data solutions and ETL pipelines using AWS Glue and PySpark. Ensure data quality, optimize workflows for performance and cost, monitor and troubleshoot pipelines, document processes, and collaborate with cross-functional teams while mentoring junior engineers.
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 : AWS Glue, PySpark
Good to have skills : NA
Minimum 3 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 robust data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and quality of data, and implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems. The position requires continuous collaboration with different teams to optimize data handling and support organizational data needs effectively.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and troubleshoot data pipelines to ensure reliability and performance.
- Document data processes and workflows to maintain clarity and support knowledge sharing.
- Assist junior team members in understanding project requirements and technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Glue, PySpark.
- Experience in designing and implementing scalable data pipelines and ETL workflows.
- Strong knowledge of cloud-based data processing and storage solutions.
- Ability to optimize data workflows for performance and cost efficiency.
- Familiarity with data quality frameworks and best practices for data validation.
- Experience with scripting and automation to support data engineering tasks.
Additional Information:
- The candidate should have minimum 2 years of experience in AWS Glue.
- 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 : AWS Glue, PySpark
Good to have skills : NA
Minimum 3 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 robust data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and quality of data, and implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems. The position requires continuous collaboration with different teams to optimize data handling and support organizational data needs effectively.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and troubleshoot data pipelines to ensure reliability and performance.
- Document data processes and workflows to maintain clarity and support knowledge sharing.
- Assist junior team members in understanding project requirements and technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Glue, PySpark.
- Experience in designing and implementing scalable data pipelines and ETL workflows.
- Strong knowledge of cloud-based data processing and storage solutions.
- Ability to optimize data workflows for performance and cost efficiency.
- Familiarity with data quality frameworks and best practices for data validation.
- Experience with scripting and automation to support data engineering tasks.
Additional Information:
- The candidate should have minimum 2 years of experience in AWS Glue.
- 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.
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.
