JB001555 Data Engineer Bangalore ·

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

Job summary

Techila is seeking a skilled Data Engineer to design, build, and maintain scalable data solutions on the Azure platform. You will develop robust data pipelines and contribute to enterprise analytics initiatives in a hybrid Bengaluru environment.

Ideal candidates have 5–8 years of data engineering experience, strong PySpark/Spark SQL skills, and proficiency with Azure Data Factory and ADLS to drive data-driven insights across teams.

Qualifications

• Minimum 5 years of experience in Data Engineering.
• Strong experience with the Azure ecosystem (Azure Databricks, Azure Data Factory, ADLS).
• Proficiency in PySpark and Spark SQL.
• Advanced SQL skills.

Responsibilities

• Design and develop scalable data pipelines using Spark SQL and PySpark on Azure Databricks.
• Build and orchestrate ETL workflows using Azure Data Factory (ADF).
• Develop and maintain a modern Lakehouse architecture leveraging ADLS and Databricks.
• Collaborate with DevOps, Data Science and BI teams to deliver data-driven insights.
• Monitor pipelines, perform root-cause analysis and implement corrective actions.

Skills

PySpark

Azure Databricks

Spark SQL

Tools

Azure Data Factory

ADLS

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 JobsExperience5–8 yrsEmployment TypeFull-timeOpenings1 positionApply BySep 3, 2026## Required SkillsData EngineerPySparkAzure DatabricksSpark SQL## Job Description**Data Engineer**Bangalore · Full-time · Hybrid---**About the Role**We are seeking a skilled Data Engineer to design, build, and maintain scalable data solutions on the Azure platform, playing a key role in developing robust data pipelines and contributing to enterprise-wide analytics initiatives. The ideal candidate will ensure data quality and deliver data-driven insights and solutions. The role involves collaboration with various teams, including DevOps, Data Science, and Business Intelligence.---**Key Responsibilities*** Design and develop scalable data pipelines using Spark SQL and PySpark on Azure Databricks* Build and orchestrate ETL workflows using Azure Data Factory (ADF)* Develop and maintain a modern Lakehouse architecture leveraging ADLS and Databricks* Perform data preparation tasks including data cleaning, normalization, deduplication, and data type transformations* Collaborate with DevOps teams to deploy and manage solutions in production environments* Monitor data pipelines, identify issues, and implement corrective actions, including root cause analysis and resolution* Contribute to the global Analytics team, delivering data-driven insights and solutions* Collaborate with Data Science and Business Intelligence teams to share best practices and drive innovation* Lead data engineering projects and support cross-functional initiatives led by other team members* Apply change management practices, including documentation, communication, and training, to support system upgrades and data migrations---**Requirements*** Have minimum 5 years of experience in Data Engineering* Possess strong experience with the Azure ecosystem (Azure Databricks, Azure Data Factory, ADLS)* Demonstrate proficiency in PySpark and Spark SQL* Have a solid understanding of ETL processes and data pipeline development* Possess advanced SQL skills### At a GlanceWork ModeHybridEmploymentFull-timeExperience5–8 yrsOpenings1LocationBangaloreDeadlineSep 3, 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