HTC Global Services

Azure & Snowflake Data Engineer

HTC Global Services • $90K — $130K *
Troy, NY 12180In-Person
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 4+ years of experience in building data pipelines using Microsoft Azure.
  • Hands-on experience with Azure Data Factory and strong SQL skills.
  • Proficient in Python for data engineering and automation tasks.
  • Experience in Snowflake functionalities including tasks, streams, and stored procedures.
  • Understanding of data-warehouse and lakehouse architecture, and ETL/ELT processes.
  • Experience working within Agile teams and supporting production data solutions.
  • Strong communication and problem-solving capabilities, with the ability to work independently.

Responsibilities

  • Design and develop scalable data pipelines on Azure.
  • Build and maintain workflows using Azure Data Factory.
  • Create Snowflake solutions utilizing tasks and streams.
  • Write and optimize complex SQL queries for data processing.
  • Develop Python solutions for data processing and automation tasks.
  • Support data ingestion and transformation across platforms.
  • Monitor and resolve data workflow issues and failures.

Benefits

  • Collaborative global delivery work environment.
  • Opportunities to work with modern data solutions.
  • Participation in Agile development methodologies.
  • Chance to work with advanced data technologies like Snowflake and Azure.
  • Access to a diverse, distributed team for knowledge sharing.
Full Job Description
  • Apply your Azure and Snowflake data-engineering experience to build scalable pipelines and modern data solutions in a collaborative global delivery environment.

    This role is ideal for a hands-on Data Engineer who can independently design, develop, troubleshoot, and support data pipelines using Azure Data Factory, Snowflake, SQL, Python, and Snowpark. You will work across data-warehouse and lakehouse environments while collaborating closely with onsite and offshore team members.

    Key Responsibilities
  • Design, develop, test, and support scalable data pipelines on Microsoft Azure.
  • Build and maintain data-integration workflows using Azure Data Factory.
  • Develop Snowflake solutions using:
    • Tasks
    • Streams
    • Stored procedures
    • Functions
    • Snowpark
  • Write and optimize complex SQL queries, transformations, and data-processing logic.
  • Develop Python-based data-processing and automation solutions.
  • Support data ingestion, transformation, validation, and delivery across enterprise data platforms.
  • Apply data-warehouse, lakehouse, data-modeling, and solution-design concepts.
  • Troubleshoot data-quality, performance, pipeline, and integration issues.
  • Monitor data workflows and resolve failures or processing exceptions.
  • Participate in Agile planning, development, testing, and delivery activities.
  • Collaborate with business, engineering, architecture, and offshore delivery teams.
  • Track open issues during onsite working hours and provide clear handoffs to offshore team members.
  • Maintain technical documentation, data mappings, process flows, and operational support notes.
  • Work independently while communicating risks, dependencies, and progress to the broader team.
  • Required Qualifications
  • At least four years of experience building data pipelines using Microsoft Azure.
  • Strong hands-on experience with Azure Data Factory.
  • Strong SQL development and query-optimization skills.
  • Strong Python programming experience for data engineering and automation.
  • Hands-on Snowflake experience, including:
    • Tasks
    • Streams
    • Procedures
    • Functions
  • Experience using Snowpark.
  • Strong understanding of:
    • Data-warehouse architecture
    • Lakehouse architecture
    • Data modeling
    • Data-design concepts
    • ETL and ELT processing
  • Experience building and supporting production data pipelines.
  • Experience working within Agile delivery teams.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to work independently and deliver assigned work with limited supervision.
  • Strong written and verbal communication skills.
  • Ability to coordinate effectively with globally distributed onsite and offshore teams.
  • Ability to provide clear handoffs, status updates, and follow-up on unresolved issues.
  • Preferred Qualifications
  • Experience optimizing Snowflake performance and resource usage.
  • Experience with Azure Data Lake Storage.
  • Exposure to Azure Synapse Analytics.
  • Experience with Databricks or Spark-based processing.
  • Experience with CI/CD pipelines for data solutions.
  • Experience with Git, Azure DevOps, or similar source-control and delivery tools.
  • Experience supporting enterprise data platforms in production.
  • Familiarity with data-quality, governance, and monitoring practices.
  • Ideal Candidate Profile

    The ideal candidate is a hands-on Data Engineer who is equally comfortable working with Azure Data Factory, Snowflake, SQL, Python, and Snowpark.

    This person can independently develop and troubleshoot pipelines, understands modern data-warehouse and lakehouse concepts, and communicates clearly with both onsite and offshore teams. The strongest candidate will be dependable, organized, proactive about following up on open items, and capable of providing detailed handoffs across time zones.

About HTC Global Services

HTC Global Services is a global provider of IT and Business Process Services and Solutions. Founded in 1990, HTC is headquartered in Troy, Michigan with delivery centers across multiple locations in North America, Europe, India, and Malaysia. HTC is an Inc. 500 Hall of Fame company and has been recognized by numerous industry and trade publications as a top provider of services. HTC has a strong client base of Global 2000 customers. HTC has a strong focus on healthcare, retail, financial services, and automotive verticals. HTC has a strong commitment to corporate social responsibility and has been recognized for its contributions to the community.
Learn more about HTC Global Services
Size
17,575 employees
Industry
Information Technology
Founded
1990
NASDAQ
HTCKF
* Ladders Estimates

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