Hybrid Bangalore 5–8 yrs Apply by Sep 3, 2026

Data Engineer

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Experience

5–8 yrs

Employment Type

Full time

Openings

1 position

Apply By

Sep 3, 2026

Required Skills

Data 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 Glance

Work ModeHybrid

EmploymentFull-time

Experience5–8 yrs

Openings1

LocationBangalore

DeadlineSep 3, 2026

[ Hiring process ]

What to expect

Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.

- STEP 0130 min

Screening Call

Introductory conversation with our talent team to understand your background and motivations.

- STEP 0260–90 min

Technical Round

Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

- STEP 0345 min

Culture Fit

Conversation with practice leadership covering working style, ownership, and how you collaborate.

- STEP 04Within 5 days

Offer

Formal offer with full compensation breakdown, start date, and onboarding plan.

📌 Data Engineer (Bengaluru)
🏢 Techila Global Services
📍 Bengaluru