Data Engineer

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• Develop and maintain a large-scale data environment consisting of wide-ranging functional data: finance, operations, sales, marketing, quality, etc.
• Gather and integrate data from various sources and proficiently design and develop SQL queries to retrieve and analyze data stored in multiple databases.
• Implement and maintain data quality and data governance processes, including data cleansing, validation, and metadata management.
• Develop ETL processes to clean, transform, and enrich data in PowerQuery, ensuring data quality, consistency, and accuracy for use in the PowerBI's Data model
• Design and develop data model, transform raw data into meaningful insights, create relationships, hierarchies, and calculated measures in PowerBI's Data Model
• Optimize data models, database schemas, and data processing algorithms to ensure efficient and high-performance data storage and retrieval.
• Monitor and troubleshoot data pipelines, identifying and resolving performance or data quality issues in a timely manner.
• Document data integration and transformation processes for future reference and troubleshooting.
• Develop and implement data security and privacy measures to ensure compliance with regulations and industry best practices.
• Implement row-level security (RLS) and object-level security (OLS) in Power BI to restrict data access based on user roles and criteria.
• Collaborate with infrastructure and operations teams to ensure the availability, reliability, and scalability of data systems and infrastructure.
• Mentor and provide technical guidance to the team, promoting best practices and knowledge sharing.
• Experience with agile development methodologies and version control systems is preferred.

Qualifications:

• Minimum Graduate in Mathematics, Business, Economics.
• 3-5 years of experience - manufacturing industry exposure preferred.

Skills:

• Microsoft Power BI experience mandatory (PowerQuery, Modelling, DAX, Relationship & Security)
• SQL query language mandatory
• Data Engineering basic - (Extracting (relevant data), transforming (cleaning data), and loading (calculating & integrating) data from multiple sources to a single repository.) - Mandatory
• Using data and managing from RDBMS/ databases. Metadata, Taxonomies
• Strong analytical skills- prior experience of working on big data analytics projects - Preferred
• Prior experience of establishing a well-managed enterprise environment in MS Azure- Preferred
• Hands-on experience in Project Management tools like Jira - preferred.
• Analytical modeling experience - Mandatory
• Strong business acumen (of whichever industry the candidate belongs)
• Alteryx and Alation hands-on desirable.

• Ability to multi-task and be proactive & independent in a dynamic environment.
• Highly motivated individual with excellent oral and written communication skills.
• Strategic and Critical approach towards solving problems and decision making
• Results-oriented; proven ability to prioritize, drive and achieve results
• Excellent communication skills - storytelling, concept pitching.