Senior Technical Lead

HCL Technologies Limited; Northern (KY); Hybrid; USD 90,000 - 125,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

AD&D insurance

Disability insurance

Employee assistance program

401(k) retirement plan

Paid time off - 10 days

Paid holidays - 10 days

Job summary

HCL Technologies Limited in the United States is seeking a Data Engineer with strong expertise in Azure data platforms and big data technologies to design, develop, and optimize scalable data pipelines and analytics solutions.

The role focuses on using Azure Synapse, Spark/PySpark, and SQL to deliver robust ETL/ELT processes, work with Cosmos DB and ADLS, and ensure data quality and operational stability across production deployments.

Qualifications

• Hands-on experience with Azure Synapse Analytics.
• Strong programming skills in Scala and Spark/PySpark.
• Advanced SQL development and performance tuning experience.
• Experience with Cosmos DB and Azure Data Lake Storage (ADLS).
• Good understanding of data warehousing and big data concepts.
• Strong problem-solving and communication skills.

Responsibilities

• Design and develop scalable data ingestion and transformation pipelines.
• Build and optimize ETL/ELT solutions using Azure Synapse, Spark/PySpark, and SQL.
• Develop data processing frameworks using Scala and Spark.
• Work with Cosmos DB and ADLS for data storage and management.
• Create and optimize complex SQL queries for reporting and analytics.
• Collaborate with business and technical teams to deliver data solutions.
• Ensure data quality, performance tuning, and operational stability.
• Support production deployments and troubleshoot data platform issues.

Skills

Azure Synapse Analytics

Scala and Spark/PySpark

SQL development & performance tuning

Cosmos DB & ADLS

Data warehousing & big data concepts

Problem-solving & communication

Tools

Azure Synapse Analytics

Spark/PySpark

Job description

We are looking for a Data Engineer with strong expertise in Azure data platforms and big data technologies. The candidate will be responsible for designing, developing, and optimizing scalable data pipelines, ETL/ELT processes, and analytics solutions using Azure Synapse, Spark/PySpark, and related technologies.

Key Responsibilities

Design and develop scalable data ingestion and transformation pipelines.Build and optimize ETL/ELT solutions using Azure Synapse, Spark/PySpark, and SQL.Develop data processing frameworks using Scala and Spark.Work with Cosmos DB and ADLS for data storage and management.Create and optimize complex SQL queries for reporting and analytics.Collaborate with business and technical teams to deliver data solutions.Ensure data quality, performance tuning, and operational stability.Support production deployments and troubleshoot data platform issues.

Skill Requirements

• Hands-on experience with Azure Synapse Analytics.
• Strong programming skills in Scala and Spark/PySpark.
• Advanced SQL development and performance tuning experience.
• Experience with Scope, Cosmos DB, and Azure Data Lake Storage (ADLS).
• Good understanding of data warehousing and big data concepts.
• Strong problem-solving and communication skills.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.