Data Engineer

This role is for one of the Weekday's clients

Salary range: Rs 1000000 - Rs 1500000 (ie INR 10-15 LPA)

Experience: 4+ yrs

Location: Bengaluru, Hyderabad, Telangana, India, Chennai, Tamil Nadu, India

Job Type: Full-Time

We are looking for a skilled and detail-oriented Data Engineer with strong expertise in SQL, Power BI, and Alteryx to design, develop, and optimize scalable data solutions that support business intelligence and data-driven decision-making. The ideal candidate will have experience building efficient data pipelines, transforming complex datasets, and creating impactful dashboards that enable stakeholders to derive meaningful insights.

In this role, you will collaborate closely with business users, analysts, and cross-functional technology teams to integrate data from multiple sources, automate workflows, and deliver reliable reporting solutions. You will play a key role in ensuring data quality, improving operational efficiency, and developing scalable analytics capabilities using modern data engineering and visualization tools. This opportunity is ideal for professionals who enjoy solving complex data challenges, automating processes, and delivering business value through data.

• Design, develop, and maintain scalable data pipelines to collect, transform, and integrate data from multiple enterprise systems.
• Build and optimize ETL/ELT workflows using Alteryx to automate data preparation, cleansing, transformation, and validation processes.
• Write, optimize, and maintain complex SQL queries, stored procedures, views, and scripts for efficient data extraction and reporting.
• Develop interactive dashboards, reports, and visualizations using Power BI to provide actionable business insights.
• Collaborate with business stakeholders to gather reporting requirements and translate them into scalable data solutions.
• Ensure data accuracy, consistency, and integrity by implementing validation, reconciliation, and quality control processes.
• Optimize database performance through query tuning, indexing, and efficient data modeling techniques.
• Create reusable data models and semantic layers to support self-service analytics and business intelligence initiatives.
• Automate recurring reporting processes and improve operational efficiency through workflow optimization.
• Monitor data pipelines, troubleshoot failures, and resolve production issues in a timely manner.
• Document data flows, transformation logic, reporting specifications, and technical processes to support maintainability.
• Work closely with cross-functional teams to identify opportunities for process improvement and data-driven decision-making.
• Support governance, security, and compliance requirements by following enterprise data management best practices.
• Stay updated with emerging data engineering, analytics, and visualization technologies to continuously improve solutions.

• 4+ years of experience in Data Engineering, Business Intelligence, or Data Analytics.
• Strong hands-on expertise in SQL, including query optimization, data manipulation, and database development.
• Proven experience using Power BI to create interactive dashboards, reports, and business intelligence solutions.
• Strong proficiency with Alteryx for workflow automation, ETL development, and advanced data preparation.
• Good understanding of relational databases, data modeling, and data warehousing concepts.
• Experience integrating data from multiple business applications and enterprise systems.
• Strong analytical and problem-solving skills with the ability to interpret complex datasets and generate actionable insights.
• Experience automating manual reporting processes and improving data pipeline efficiency.
• Familiarity with data governance, data quality, and reporting best practices.
• Excellent communication and stakeholder management skills with the ability to collaborate across technical and business teams.
• Ability to manage multiple priorities in a fast-paced, collaborative environment while delivering high-quality solutions.
• A proactive mindset with a passion for leveraging data to improve business performance and operational excellence.