Azure Senior Data Technical Specialist

Vijayawada, Andhra Pradesh

Job Summary

Job Title: Senior Databricks Engineer (E3.2 Band)

About HCLTech

HCLTech is a global technology company delivering industry-leading digital, engineering, and cloud solutions. With a strong focus on innovation and customer success, HCLTech enables enterprises to transform through scalable, data-driven platforms.

Role Overview

As a Senior Databricks Engineer (E3.2) , you will take end-to-end ownership of designing and delivering advanced data engineering solutions on Azure. You will play a key role in architecting scalable data pipelines, leading technical discussions, and driving best practices across projects while working closely with business stakeholders and cross-functional teams.

Key Responsibilities

Key Responsibilities

Lead the design and implementation of enterprise-grade data solutions using Azure Databricks

Architect and optimize end-to-end data pipelines leveraging ADF, Databricks, and Synapse

Drive data ingestion, transformation, and integration strategies across multiple data sources

Provide technical leadership and guidance to junior engineers and project teams

Engage with stakeholders to understand business needs and translate them into scalable solutions

Optimize performance, cost, and reliability of Azure data platforms

Implement CI/CD pipelines and governance using Azure DevOps

Ensure adherence to data quality, security, and compliance standards

Contribute to solution architecture, design reviews, and technical decision-making

Skill Requirements

Mandatory Skills

Strong expertise in Azure Data Engineering ecosystem :
Azure Databricks (advanced implementation & optimization)

Azure Data Factory (complex pipeline orchestration)

Azure Synapse Analytics

Azure Storage / Data Lake (ADLS Gen2)

Azure DevOps (CI/CD pipelines)

Deep understanding of ETL/ELT frameworks and data modeling concepts

Advanced proficiency in SQL and relational databases

Strong experience in performance tuning and large-scale data processing

Hands-on experience with Python and Spark (PySpark preferred)

Experience in solution design and architecture discussions

Preferred Skills

Experience working in client-facing or consulting roles

Exposure to data governance, security, and compliance frameworks

Knowledge of real-time/streaming data processing (Kafka/Event Hub)

Familiarity with Agile / Scrum methodologies

Certification in Azure Data Engineering or Databricks is a plus

Educational Qualification

Bachelor’s degree in Computer Science / IT / related field

Other Requirements

Skill Evaluation Matrix (E3.2 Expectations)

Databricks, ADF, Synapse, ETL, SQL Advanced expertise (Rating: 4+)

DevOps & Storage Strong working knowledge (Rating: 3+)

Python & Spark Hands-on implementation (Rating: 3+)

Client handling & architecture Ownership-driven capability

1.Relevant certifications in Azure Data Factory (ADF), Azure Databricks, SQL, Python are a plus.

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