JB001587 Data Engineer Pune ·

Techilaservices; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Professional growth opportunities

Collaborative environment

Job summary

Techilaservices in Pune is seeking a skilled Data Engineer to design and implement data pipelines with PySpark and Azure Data Factory. You will build data architectures on Databricks, optimize SQL queries, and collaborate across teams to deliver reliable data solutions onsite in Pune.

The role requires 3–5 years of experience, strong Python and SQL skills, and a solid understanding of data architecture. This full-time, onsite position offers opportunities for growth and hands-on work with

Qualifications

• Proven experience as a data engineer with Python.
• Experience with PySpark and Azure Data Factory.
• Strong SQL and data modeling skills.

Responsibilities

• Design and develop data pipelines using PySpark and Azure Data Factory.
• Build and maintain data architectures on Data Bricks.
• Develop and optimize SQL queries for data analysis.
• Collaborate with cross-functional teams to integrate data solutions.
• Ensure data quality and integrity across all data systems.
• Develop and maintain data visualizations and reports.

Skills

Python

PySpark

Azure Data Factory

SQL

Tools

Data Bricks

Job description

# Data EngineerJoin Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.Apply Now →← All JobsExperience3–5 yrsEmployment TypeFull-timeOpenings1 positionApply ByAug 31, 2026## Required SkillsPythondata engineerdata bricks## Job Description**Data Engineer**Pune · Full-time · On-site---**About the Role**We are seeking a skilled Data Engineer to join our team, with a strong background in Python and experience with big data technologies.---**Key Responsibilities*** Design and develop data pipelines using PySpark and Azure Data Factory* Build and maintain data architectures on Data Bricks* Develop and optimize SQL queries for data analysis* Collaborate with cross-functional teams to integrate data solutions* Ensure data quality and integrity across all data systems* Develop and maintain data visualizations and reports---**Requirements*** Develop and implement data engineering solutions using Python* Experience with PySpark, Data Bricks, and Azure Data Factory* Strong skills in SQL and data modeling* Experience with data pipeline development and maintenance* Strong understanding of data architecture and design principles---**What We Offer*** Opportunity to work with cutting-edge technologies and tools* Collaborative and dynamic work environment* Professional growth and development opportunities### At a GlanceWork ModeOnsiteEmploymentFull-timeExperience3–5 yrsOpenings1LocationPuneDeadlineAug 31, 2026Apply for this Role →[ Hiring process ]## What to expectFour stages, typically completed within **2–3 weeks**. We respect your time — every stage has a clear purpose and timely feedback.1. STEP 0130 min ### Screening Call Introductory conversation with our talent team to understand your background and motivations.2. STEP 0260–90 min ### Technical Round Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.3. STEP 0345 min ### Culture Fit Conversation with practice leadership covering working style, ownership, and how you collaborate.4. STEP 04Within 5 days ### Offer Formal offer with full compensation breakdown, start date, and onboarding plan.Apply## Data EngineerFill in your details and attach your resume below.