Azure Data Engineer

1 week ago

Malvern, Pennsylvania, United States FUSTIS LLC Full time

Position
: Azure Data Engineer

Location
: Malvern, PA (Onsite)

Process
/I
nterview Availability
: 2-3 interviews: first video interview with Will, then onsite with folks on other teams

Eligibility:
USC/GC Only

Salary:
$120,000-$140,000 per year + benefits

MUST HAVE

  • Data modelling, Azure, Data lake, SQL, cloud native, synapse, Python, ETL
  • Need someone senior
  • Some who can lead is the best fit.

Job Description
:

We are seeking a highly skilled and motivated Data Engineer to join our growing data and analytics team. This role is ideal for someone with a strong foundation in SQL, deep experience with Microsoft Azure services, and a working knowledge of machine learning workflows. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support advanced analytics and predictive modeling initiatives. This individual in this role will be at the forefront of developing the data platform at client and will partner with the Development team on tool selection, code, and pipeline management.

KEY RESPONSIBILITIES

Data Architecture & Pipeline Development

  • Design, construct, and maintain robust data pipelines using Azure Data Factory, Azure Synapse, and Azure Databricks.
  • Develop ETL/ELT processes to ingest, transform, and store structured and unstructured data from various sources.
  • Ensure data pipelines are scalable, secure, and optimized for performance.
  • Document architecture, database, data flow, and algorithm details.
  • Manage and optimize relational databases using Azure SQL and flat files in cloud native, Azure environment.
  • Write complex SQL queries for data extraction, transformation, and analysis.
  • Implement indexing, partitioning, and performance tuning strategies.
  • Establish and maintain processes aligned to master data management; data quality, security, storage, and database tuning throughout the data lifecycle.
  • Collaborate with Data Analyst to operationalize ML models using Azure Machine Learning.
  • Support feature engineering, model versioning, and deployment pipelines.
  • Utilize Azure ML tools like AutoML, HyperDrive, and Model Registry for experimentation and tracking.
  • Leverage Azure Functions, Logic Apps, and Event Hubs for event-driven data processing.
  • Automate data workflows and monitoring using CI/CD pipelines and scripting (PowerShell, PowerAutomate).
  • Ensure compliance with security and governance policies across all data assets.
  • Work closely with cross-functional teams including product, engineering, testing, and information security.
  • Translate business requirements into technical specifications and data solutions.
  • Document data flows, architecture, and operational procedures.

SKILLS AND EXPERIENCE

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in data engineering roles.
  • Proficiency in SQL and experience with Azure data services, (Synapse, Azure ML).
  • Familiarity with machine learning concepts and model deployment practices.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration abilities.

PREFERRED QUALIFICATIONS

  • Experience with Azure DevOps, GitHub Actions, or other CI/CD tools.
  • Working knowledge of .Net.
  • Knowledge of data governance frameworks and SOC 2 compliance.
  • Exposure to financial services, credit union, banking data environments.

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