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Senior Data EngineerSWITS DIGITAL Private LimitedUnited States
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Senior Data Engineer

SWITS DIGITAL Private Limited
  • US
    United States
  • US
    United States

About

Job Description Greetings from Smartwork IT Services!
We are seeking a
Senior Data Engineer
with strong experience in cloud and on-premise data platforms for an
on-site role in Spring, Texas .
Job Title:
Senior Data Engineer Location:
Spring, TX (On-Site) Domain:
Oil & Gas (Good to Have) Job Summary
We are seeking a highly skilled
Senior Data Engineer
to lead the design, development, automation, and optimization of scalable data infrastructure supporting enterprise applications, advanced analytics, and AI/ML workloads. The ideal candidate will have deep expertise in Azure-based data platforms, Databricks Lakehouse architecture, and CI/CD automation, and will collaborate closely with cross-functional teams in an agile environment. Required Skills & Qualifications Proven experience as a
Senior Data Engineer
in enterprise-scale environments Strong hands-on experience with
Azure cloud services Expertise in
Databricks, Delta Lake, and Snowflake Advanced proficiency in
PySpark, Python, and SQL Strong experience designing and optimizing
ETL/ELT pipelines In-depth knowledge of
Databricks Lakehouse architecture , including: Schema evolution ACID transactions Data quality enforcement Cost and performance optimization for large-scale datasets
Experience implementing
Bronze/Silver/Gold Lakehouse architectures Strong understanding of
data governance, data quality frameworks (e.g., Great Expectations), and performance tuning Hands-on experience with
CI/CD automation , version control, and testing frameworks for data pipelines Experience working in
Agile/Scrum environments Strong analytical, problem-solving, and communication skills Oil & Gas domain experience
is a plus Key Responsibilities Design, build, and optimize scalable data pipelines using
Databricks, Delta Lake, PySpark, Python, and SQL Develop and maintain high-performance data solutions supporting
AI/ML workloads, advanced analytics, and real-time data processing Optimize data processing efficiency and storage through Lakehouse architecture best practices Collaborate with
data scientists, software engineers, product owners, and business stakeholders
to translate business requirements into robust technical solutions Implement and strengthen
CI/CD pipelines , automation, and governance standards for enterprise data platforms Ensure secure, reliable, and production-grade data workflows aligned with enterprise standards Top 3 Skills Azure Databricks, Delta Lake & Snowflake CI/CD Automation
  • United States

Languages

  • English
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