Bengaluru, Karnataka

Job Summary

We are seeking a skilled Databricks Engineer to design, develop, and optimize data solutions on the Microsoft Azure platform. This role is critical in enabling data-driven decision-making by building scalable data pipelines, integrating diverse data sources, and delivering high-quality analytics solutions aligned with business objectives.

Key Responsibilities

Design and develop scalable data solutions using Azure Databricks and the Azure ecosystem

Build and manage Azure Data Factory (ADF) pipelines for efficient data ingestion and transformation

Integrate structured and unstructured data from multiple sources into Azure Data Lake / Analytics platforms

Develop ETL processes to support analytics and reporting requirements

Collaborate with cross-functional teams to deliver high-quality data solutions

Translate business requirements into technical designs and implement scalable architecture

Ensure performance optimization, data quality, and reliability across data pipelines

Support deployment and version control using Azure DevOps

Skill Requirements

Mandatory Skills

Robust expertise in Microsoft Azure Stack (T-SQL, SSIS, SSAS, SSRS)

Hands-on experience with:

Azure Data Factory (ADF)

Azure Databricks





Azure Synapse Analytics

Azure DevOps

Azure Storage / Data Lake

Solid understanding of ETL processes and data integration

Proficiency in SQL and relational databases

Strong analytical and problem-solving skills

Preferred Skills (Good to Have)

Experience with Python scripting and Spark APIs

Exposure to client-facing roles and stakeholder interactions

Familiarity with Agile / Scrum methodologies

Educational Qualification

Bachelor’s degree in Computer Science / Information Technology / related field

Skill Evaluation Matrix (Snapshot)

Azure Stack, ADF, Databricks, Synapse, ETL, SQL – Core strengths required

DevOps, Storage/Data Lake – Supporting capabilities

Python/Spark, Client Engagement, Agile – Added advantage

Other Requirements

1.Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python would be a plus.

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📌 Azure Senior Data Lead (Bengaluru)
🏢 HCLTech
📍 Bengaluru