Data Engineer

Durapid Technologies; Pune District; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Durapid Technologies in Pune invites an experienced Data Engineer to design and maintain scalable data pipelines, dashboards, and reporting solutions using Alteryx, Power BI, Databricks, and SQL. The ideal candidate has 5–8 years IT experience with strong data transformation skills and supply chain domain knowledge is a plus.

You will collaborate with business and analytics teams to ensure data accuracy and reliable delivery.

Qualifications

• 5–8 years of IT experience with data engineering and analytics exposure.
• Hands-on Alteryx experience is required.
• Strong SQL, data transformation, and ETL/ELT knowledge.
• Experience with Power BI dashboards and Databricks a must.

Responsibilities

• Design, develop, and maintain scalable data pipelines and workflows
• Develop and maintain data preparation and transformation workflows using Alteryx
• Build and maintain Power BI dashboards and reports
• Work with Databricks for data processing, transformation, and analytics
• Write, optimize, and maintain SQL queries for data extraction and transformation
• Perform data cleansing, transformation, validation, and quality checks
• Develop and automate ETL/ELT processes and reporting workflows
• Troubleshoot data pipeline, reporting, and data quality issues
• Collaborate with business, analytics, and technical teams to understand data requirements
• Ensure data accuracy, consistency, reliability, and availability
• Document data workflows, processes, and technical solutions
• Support automation and continuous improvement of data engineering processes

Skills

Data Engineering

Stakeholder communication

Problem-solving

Analytical skills

Education

Bachelor’s or Master’s degree in Computer Science / Information Technology / Data Science / Engineering / Statistics / Mathematics

Tools

Alteryx

Power BI

Databricks / DBX

SQL

Job description

Job Description

We are looking for a skilled Data Engineer with hands‑on experience in Alteryx, Power BI, Databricks (DBX), and SQL to build and maintain data workflows, pipelines, and reporting solutions. The ideal candidate should have strong data transformation and analytics skills, with Supply Chain domain knowledge being an added advantage.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data workflows
• Develop and maintain data preparation and transformation workflows using Alteryx
• Build and maintain interactive Power BI dashboards and reports
• Work with Databricks (DBX) for data processing, transformation, and analytics
• Write, optimize, and maintain SQL queries for data extraction and transformation
• Perform data cleansing, transformation, validation, and quality checks
• Develop and automate ETL/ELT processes and reporting workflows
• Troubleshoot data pipeline, reporting, and data quality issues
• Collaborate with business, analytics, and technical teams to understand data requirements
• Ensure data accuracy, consistency, reliability, and availability
• Document data workflows, processes, and technical solutions
• Support automation and continuous improvement of data engineering processes

Required Skills

• 5 -- 8 years of overall IT experience with strong Data Engineering / Data Analytics exposure
• Strong hands‑on experience with Alteryx
• Strong hands‑on experience with Power BI
• Hands‑on experience with Databricks / DBX
• Strong proficiency in SQL
• Strong understanding of ETL / ELT processes and data transformation
• Experience developing and maintaining data pipelines
• Experience with data cleansing, validation, and data quality processes
• Good understanding of Power BI components including Power Query and DAX
• Good understanding of data warehousing and data modeling concepts
• Strong analytical and problem‑solving skills
• Excellent stakeholder communication and collaboration capabilities

Preferred Skills

• Supply Chain domain knowledge
• Experience with supply chain planning, logistics, operations, or manufacturing data
• Experience in Healthcare / MedTech domain
• Experience with cloud‑based data platforms
• Knowledge of data warehousing and advanced data modeling
• Experience with reporting and analytics automation
• Exposure to Agile / Scrum methodologies
• Strong communication, stakeholder management, and problem‑solving skills

Education

Bachelor's or master's degree in computer science, Information Technology, Data Science, Engineering, Statistics, Mathematics, or a related field Relevant professional certifications in Data Engineering, Databricks, Power BI, or Alteryx are an added advantage