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Principal Data Engineer - Azure

Neudesic, an IBM Company
New York, NY Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 6/3/2025

About Neudesic, an IBM Company

Passion for technology drives us, but its innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster.

What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity . If these attributes mean something to you wed like to hear from you.

About the Role

The Sr. Data Engineer will have succeeded in roles like data engineer, data architect, data developer, cloud solution architect. The successful candidate is a leader who has a proven record of solving complex data challenges in an industry context. Leading teams in delivering custom and scalable solutions. This role requires the perfect mix of being a brilliant hands-on technologist while also having a deep appreciation for how technology drives business value.

Responsibilities :

  • Lead full project life cycles, from planning and development through deployment and maintenance.
  • Advise on modern data architectures, with a focus on Fabric and Azure data solutions.
  • Integrate data across various sources, leveraging Azure Data Factory for scalable ETL / ELT solutions.
  • Participate in developing strategy, roadmaps, and business use cases for data engineering solutions.
  • Design and implement large-scale data pipelines, ensuring scalability, low-latency, and fault tolerance.
  • Create custom solutions tailored to diverse industry needs, with a strong focus on visualization through Power BI and similar tools.
  • Design and implement robust data models, including Dimensional and DataMart structures, to support scalable and efficient data storage and retrieval.

Requirements :

Bachelors Degree in Computer Science, Engineering, or related field, or equivalent work experience.

Proven experience with Microsoft Fabric and Azure Data Factory.

Expertise in building and optimizing large-scale data solutions using PySpark.

Familiarity with data visualization tools, especially Power BI, for generating actionable insights.

Experience with additional cloud and data platforms, such as Databricks, Snowflake, and Tableau.

Proven experience with other Azure cloud resources (Databricks, Fabric, Azure Data Factory, Power BI, and Power Platform).

Experience with cloud data infrastructure and provisioning of resources using GitHub or Azure DevOps.

Ability to travel up to 25%

More About Our Data & AI Team

The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line promotes the evolution from using data strictly as a reporting mechanism of whats happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include :

  • Data Management Solutions : We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking.
  • Self-Service Data Solutions : We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources.
  • Real-Time Analytic Solutions : We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets.
  • Machine Learning Solutions : We build machine-learning solutions that support the most complex decision support systems
  • Neudesic also offers a competitive benefits package that includes :

  • Medical, Dental, Vision, Life and Disability insurance
  • 401(k) Retirement Plan
  • Paid Time Off & Paid Sick Leave
  • Employee assistance program and other benefits
  • For New York, the expected salary range for this position is between $145,000 and $160,000.The salary range may be different if the successful employee is in a different state. This position is also eligible for performance bonuses. The actual compensation will be determined based on experience and other factors permitted by law.

    Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their teams management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location.

    Phishing Scam Notice

    Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more.

    Neudesic is an Equal Employment Opportunity Employer

    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

    Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here : https : / / www.ibm.com / us-en / privacy?lnk=flg-priv-usen

    Salary : $145,000 - $160,000

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