Data Engineer

Accenture in India; Kolkata Metropolitan Area; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Accenture in India is seeking a Data Engineer to design, develop, and maintain comprehensive data solutions for generation, collection, and processing of data. You will create efficient ETL pipelines, ensure data quality, and migrate data across systems, collaborating with teams to align data architecture with business goals.

The role requires a minimum of 3 years of experience, 15 years of full-time education, and strong Databricks platform skills.

Qualifications

• Must have Databricks Unified Data Analytics Platform.
• Experience designing and implementing scalable data pipelines and ETL processes.
• Strong knowledge of data integration techniques and data quality assurance.

Responsibilities

• Design, develop and maintain data pipelines for data generation, collection and processing.
• Collaborate with cross-functional teams to gather data requirements and translate them into technical solutions.
• Monitor and optimize data pipelines for performance and reliability.
• Document data processes and workflows to support knowledge sharing.

Skills

Databricks Unified Data Analytics Plat

Education

15 years full-time education

Job description

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 3 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 the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to understand data requirements and optimize data architecture is a key part of your daily activities, ensuring that data solutions align with organizational goals and support business 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 gather and analyze data requirements and translate them into technical solutions.
• Monitor and optimize data pipelines to improve performance and reliability.
• Document data processes and workflows to maintain clarity and support knowledge sharing within the team.
• Assist junior team members by providing guidance and support to foster their professional growth.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
• Experience in designing and implementing scalable data pipelines and ETL processes.
• Strong knowledge of data integration techniques and data quality assurance.
• Familiarity with cloud-based data storage and processing solutions.
• Ability to troubleshoot and resolve data-related issues efficiently.
• Understanding of data governance and security best practices.

Additional Information:

• The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
• This position is based at our KDC1A - SEZ location.
• A 15 years full time education is required.