Data Engineer

Accenture; Hinoba-an; On-site; PHP 594,000 - 924,000; Full time

Job summary

Accenture in Bengaluru is seeking a Data Engineer to design, develop and maintain data solutions for generation, collection and processing. You will build data pipelines, ensure data quality and implement ETL across systems.

The role requires 7.5+ years of experience with Power BI and 15 years of full-time education. You will collaborate with multiple teams to optimize data workflows and ensure robust, scalable data platforms. This position offers growth, mentorship and cross-functional exposure.

Qualifications

• Proficiency in Microsoft Power BI and data integration.
• Experience designing and maintaining data pipelines and ETL processes.
• Knowledge of data governance and data quality standards.

Responsibilities

• Lead the development and optimization of data pipelines to support business requirements.
• Collaborate with multiple teams to align data engineering initiatives with organizational goals.
• Mentor junior team members to foster skill development and knowledge sharing.
• Ensure adherence to data governance and quality standards across projects.
• Coordinate cross-functional efforts to optimize data workflows.

Skills

Power BI

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 : Microsoft Power Business Intelligence (BI)

Good to have skills : NA

Minimum 7.5 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 optimize data workflows and support organizational data needs is an integral part of daily activities, ensuring that data solutions are robust and scalable.

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 development and optimization of data pipelines to support business requirements.
• Ensure adherence to data governance and quality standards across projects.
• Mentor junior team members to foster skill development and knowledge sharing.
• Coordinate cross-functional efforts to align data engineering initiatives with organizational goals.

Professional & Technical Skills

• Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI).
• Strong experience in designing and implementing extract, transform, and load processes to manage data migration and integration.
• Expertise in building scalable and efficient data pipelines to support large volumes of data.
• Ability to monitor and ensure data quality and integrity throughout the data lifecycle.
• Familiarity with data storage solutions and database management to optimize data accessibility and performance.
• Skilled in troubleshooting and resolving complex data-related issues to maintain system reliability.

Additional Information

Exception - New Project

• The candidate should have minimum 7.5 years of experience in Microsoft Power Business Intelligence (BI).
• This position is based at our Bengaluru office.
• A 15 years full time education is required.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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