Data Engineer

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HCLTech is looking for Data Engineer with Python, Py Spark experience to join it in advancing the technological world through innovation and creativity.

Job Title:
Data Engineer

Job

Position Type:
Full-time

Location:
Princeton, NJ Onsite

Key Responsibilities
:

• Design and implement ETL/ELT pipelines using Azure Data Factory.
• Develop and optimize data processing workflows in Azure Databricks using PySpark.
• Integrate data from multiple sources into a unified data platform.
• Ensure data quality, security and compliance across all processes.
• Collaborate with data architects, analysts and business teams to deliver reliable data solutions.
• Monitor and troubleshoot data pipelines for performance and reliability.
• Implement best practices for data governance, metadata management and data lineage.

Minimum Mandatory Skills : ADF, Data Bricks

Desired Skills :
Python, Py Spark

Required Skills &

Qualifications:

• 6–8 years of experience in data engineering and data platform development.
• Strong hands‑on experience with Azure Data Factory, Azure Databricks and PySpark.
• Proficiency in SQL and working with relational databases.
• Experience with data modeling, data warehousing and big data processing.
• Familiarity with Azure ecosystem (Data Lake, Synapse, Key Vault, etc.).
• Strong problem‑solving and debugging skills.

Experience level : 6–8 years

Pay Range Minimum: $ 65000

Pay Range Maximum: $ 134200

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to  for investigation.

Compensation and Benefits:

A candidate’s pay within the range will depend on their work location, 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.

• Mid‑Senior level

• Full‑time

• Information Technology
• IT Services and IT Consulting

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