Azure Senior Data Technical Specialist
HCLTech
Vijayawada, Andhra Pradesh, IndiaPosted 24 days agoDiscoveredMatch locked
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
- 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
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
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
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.
Not included in the source posting: benefits.
Skills
azuredatabrickspythonsqldevopsetlsparkci-cdagilekafkascrum
Who can apply
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