Hybrid Pan India 4–7 yrs Apply by Sep 16, 2026

Azure Databricks Data Engineer

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

Experience

4–7 yrs

Employment Type

Full time

Openings

1 position

Apply By

Sep 16, 2026

Required Skills

Azure Databricks Data Engineer

Job Description

Role Summary Design, develop, and maintain scalable data engineering solutions on the Azure platform using Azure Databricks, Azure Data Factory, ADLS Gen2, and related Azure data services. Build enterprise-grade data pipelines, transformation frameworks, and Lakehouse architectures. Key Responsibilities • Design and implement end-to-end data pipelines using Azure Databricks and Azure Data Factory. • Develop scalable ETL/ELT solutions using PySpark and Spark SQL. • Build and maintain Lakehouse architectures using Bronze, Silver and Gold layers. • Develop Delta Lake-based data models and optimize data processing performance. • Integrate data from ERP, CRM, databases, APIs, IoT, and external sources. • Implement data quality checks, monitoring, and error-handling frameworks. • Create and maintain CI/CD pipelines using Azure DevOps. • Configure and manage Unity Catalog, data governance, and access controls. • Work with Power BI and analytics teams to deliver curated data marts and semantic models. • Collaborate with business stakeholders, architects,



and data scientists to support reporting and AI initiatives. • Troubleshoot production issues and optimize pipeline performance. • Prepare technical documentation, deployment guides, and operational runbooks. Required Technical Skills • Azure Databricks • PySpark and Spark SQL • Azure Data Factory (ADF) • Azure Data Lake Storage Gen2 (ADLS) • Delta Lake • SQL Server and SQL scripting • Azure DevOps and CI/CD • Git/Version Control • Data Warehousing and ETL Concepts • Performance Tuning and Optimization Qualifications • B.E./B.Tech/MCA or equivalent.

At a Glance

Work ModeHybrid

EmploymentFull-time

Experience4–7 yrs

Openings1

LocationPan India

DeadlineSep 16, 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.

📌 Azure Databricks Data Engineer (India)
🏢 Techila Global Services
📍 India