Senior Data Engineer

As a Snowflake Senior Data Engineer at HCLTech, you will play a pivotal role in designing, developing, and maintaining robust data solutions leveraging Snowflake, MS SQL, and Python. Your expertise will directly impact the company’s ability to deliver scalable data-driven insights and support critical business applications. This position offers the opportunity to collaborate with cross-functional teams, contribute to high-impact projects, and shape the data architecture that powers innovative business outcomes for global clients. *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 View email address on click.appcast.io for investigation.* Detailed Responsibilities Design and develop scalable data models and pipelines on the Snowflake data warehousing platform to meet evolving business requirements. Write advanced SQL queries to efficiently extract, transform, and load (ETL) data for business intelligence, analytics, and operational use. Develop, optimize, and maintain Python scripts for automation, data processing, and integration tasks. Collaborate closely with team members and stakeholders to ensure seamless integration and deployment of data solutions. Proactively troubleshoot, debug, and optimize code to ensure high system performance, reliability, and data accuracy. Stay current with industry best practices, emerging technologies, and trends related to Snowflake, SQL, and Python. Document technical solutions, workflows, and operational procedures to support knowledge sharing and compliance. Skill Requirements Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent practical experience). Proven proficiency with the Snowflake data warehousing platform, including data modeling, security, and performance tuning. Advanced SQL skills for data extraction, transformation, and manipulation. Strong experience in Python programming for developing scripts, automation, and data workflows. Solid understanding of data modeling concepts, ETL processes, and best practices in data engineering. Excellent problem-solving, analytical, and debugging skills. Ability to thrive in a fast-paced environment, manage multiple priorities, and deliver quality results under tight deadlines. Strong communication and interpersonal skills for effective collaboration with team members and stakeholders. Other Requirements (Optional) SnowPro Core Certification in Snowflake is preferred but not mandatory. Experience with MS SQL Server and related database technologies is highly desirable. Exposure to cloud data platforms and modern data architecture is a plus. 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) 10 paid holidays per year #J-18808-Ljbffr