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Data Engineer

Weekday AI
CompanyWeekday AI
CategoryEngineering
LocationBengaluru
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted15 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
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Description
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. Requirements Key Responsibilities 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. What Makes You a Great Fit 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 man
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