Data Engineer

Data Engineer

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.

Data Engineering

NA

Minimum

year(s) of experience is required

15 years full time education

Summary:

Expert level skills writing and optimizing complex SQL and Python is a must

Experience with complex data modelling, ETL design, and using large databases in a business environment

Experience with large scale on-prem to cloud data-migration

Experience with big-data technologies, data-lake/delta-lake solutions, cloud-based data platforms

Fluent with industry standard technologies like Spark, Kafka

Expert level understanding of Azure data ecosystem like Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure Fabric, Azure Cosmos DB is required

Experience is designing data integration strategies leveraging batch and real-time data ingestion methods

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.

- Mentor junior team members to enhance their skills and knowledge in data engineering.

- Continuously evaluate and improve data processes to ensure efficiency and effectiveness.

Professional & Technical Skills:

- Expert level skills writing and optimizing complex SQL and Python is a must

- Experience with complex data modelling, ETL design, and using large databases in a business environment

- Experience with large scale on-prem to cloud data-migration

- Experience with big-data technologies, data-lake/delta-lake solutions, cloud-based data platforms

- Fluent with industry standard technologies like Spark, Kafka

- Expert level understanding of Azure data ecosystem like Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure Fabric, Azure Cosmos DB is required

- Experience is designing data integration strategies leveraging batch and real-time data ingestion methods

- Must To Have Skills: Proficiency in Data Engineering.

- Strong experience with ETL processes and data pipeline development.

- Familiarity with data warehousing concepts and technologies.

- Proficient in programming languages such as Python or Java for data manipulation.

- Experience with cloud platforms and services related to data storage and processing.

Additional Information:

- The candidate should have minimum 5 years of experience in Data Engineering.

- 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 

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