JB001582 Data Engineer Pune ·

Techilaservices; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Techila is seeking a Data Engineer to join its team of Salesforce experts in Pune. This full-time, hybrid role focuses on building and maintaining data pipelines on Azure / Microsoft Fabric, implementing ingestion strategies, and ensuring data quality and reliability.

The successful candidate will design and optimize ETL/ELT processes, write advanced SQL, and apply dimensional modeling and the Medallion architecture to enable scalable data flows across client environments.

Qualifications

• Experience with Datawarehouse systems on Azure / Data Fabric.
• Understand Medallion architecture Bronze–Silver–Gold.
• Design ETL/ELT pipelines with error handling, logging & retries.
• Data modeling using Dimensional modeling – Star/Snowflake.

Responsibilities

• Develop and maintain data pipelines (ETL/ELT) on Azure / Microsoft Fabric.
• Implement data ingestion strategies (full, incremental, snapshot) with error handling, logging, and retries.
• Write and optimize complex SQL queries for performance.
• Apply dimensional data modeling (Star/Snowflake) and Medallion architecture for structured data flows.
• Ensure data quality through validations and anomaly detection.

Skills

Azure

Microsoft Fabric

ETL/ELT

SQL

Dimensional modeling

Medallion architecture

Data quality

Power BI

Data warehouse

Data pipelines

Tools

Azure

Microsoft Fabric

SQL Server

Power BI

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 JobsExperience6–9 yrsEmployment TypeFull-timeOpenings1 positionApply ByAug 31, 2026## Required SkillsData engineer## Job Description**Data Engineer**Pune · Full Time · Hybrid---**About the Role**This role involves developing and maintaining data pipelines, ensuring data quality, and optimizing performance. The successful candidate will work on Azure / Microsoft Fabric, implementing data ingestion strategies and applying dimensional data modeling. The goal is to ensure reliability, scalability, and efficiency in data processing.---**Key Responsibilities*** Develop and maintain data pipelines (ETL/ELT) on Azure / Microsoft Fabric, ensuring reliability and scalability.* Implement data ingestion strategies (full, incremental, snapshot) with proper error handling, logging, and retries.* Write and optimize complex SQL queries for efficient data processing and performance.* Apply dimensional data modeling (Star/Snowflake) and understand Medallion architecture (Bronze–Silver–Gold) for structured data flows.* Ensure data quality through validations, checks, and basic anomaly detection mechanisms.---**Requirements*** Have hands-on experience with Datawarehouse systems using Azure / Data Fabric data platform.* Understand Data Warehouse Architecture (Medallion: Bronze–Silver–Gold).* Design ETL/ELT pipeline (error handling, logging, retry, incremental loads).* Implement data ingestion strategies (full load, delta, snapshot).* Manage metadata (timestamps, source tagging, lineage).* Apply data modeling (Dimensional modeling – Star/Snowflake, Kimball).* Perform data transformation & conformance (deduplication, standardization, business rules).* Utilize SQL Server (advanced querying, performance tuning).* Implement data quality frameworks (validation, quality gates, anomaly detection).* Optimize performance (query optimization, pipeline efficiency).* Have basic PowerBI skills.* Understand governance frameworks (naming standards, reusable models, KPI standardization).---**Good to Have*** Advanced Power BI skills.* CI/CD for data pipelines.* Oracle Primavera P6.### At a GlanceWork ModeHybridEmploymentFull-timeExperience6–9 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