Azure Data Engineer

Job Title -: Data Engineer
Location-: Glendale, AZ (Hybrid 3 days onsite)
Duration-: 12 months

Description,
We are seeking a highly skilled and motivated Software Engineer specializing in Data Engineering to join our growing team. This critical role will focus on designing, developing, and optimizing our data infrastructure within the Azure cloud environment. The ideal candidate possesses a deep understanding of data engineering principles and extensive hands-on experience with Azure Data Lake, Azure Data Factory, Databricks, and SAP Business Objects. You will play a key role in building and maintaining robust data pipelines, ensuring data quality, and enabling data-driven insights for the business. This position requires a U.S. Citizenship due to project requirements. This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership#LI-TN1
Roles & Responsibilities:
Design, develop, and optimize scalable and efficient data processing pipelines and architectures within Azure Data Lake and Databricks, leveraging best practices for performance and maintainability.
Implement and manage complex ETL (Extract, Transform, Load) processes to seamlessly integrate data from diverse sources (e.g., databases, APIs, streaming platforms) into Azure Data Lake, ensuring data quality and consistency.
Develop and maintain interactive dashboards and reports using SAP Business Objects and Power BI, translating complex data into actionable business insights. Focus on performance optimization and data accuracy.
Leverage Azure Data Factory for data orchestration, workflow automation, and scheduling, ensuring reliable and timely data delivery.
Implement and maintain Azure Security & Governance policies, including access control, data encryption, and compliance frameworks, to ensure data protection and adherence to industry best practices.
Optimize data storage and retrieval mechanisms within Azure, including performance tuning of Databricks clusters and Azure SQL databases, to improve query performance and scalability.
Collaborate effectively with cross-functional teams (e.g., business analysts, data scientists, product managers) to understand business requirements, translate them into technical solutions, and communicate technical concepts clearly.
Implement data quality checks and validation rules throughout the data pipeline to ensure data accuracy, completeness, and consistency.
Monitor, troubleshoot, and enhance existing data solutions, proactively identifying and resolving performance bottlenecks and data quality issues.
Create and maintain comprehensive technical documentation, including design specifications, data flow diagrams, and operational procedures, to facilitate knowledge sharing and team collaboration.
Skills Required

• 4+ years of hands-on experience in data engineering, data warehousing, and cloud-based data platforms.
• Deep expertise in Azure Data Lake, Azure Data Factory, Azure Security & Governance, Databricks, and SAP Business Objects.
• Strong proficiency in SQL, including complex query writing, query optimization, and performance tuning.
• Proven experience in developing and maintaining Power BI dashboards and reports.
• Hands-on experience with Azure services such as Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage.
• Solid understanding of data modeling concepts, ETL processes, and big data frameworks (e.g., Spark).
• Experience in optimizing and managing large-scale datasets in cloud environments.
• Experience developing and maintaining ETL packages using SSIS and reports using SSRS.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication and collaboration skills.
• Master's degree in a relevant field.
• Familiarity with machine learning models and data science concepts.
• Understanding of DevOps practices and CI/CD pipelines for data applications.
• Experience with data governance tools and frameworks.
• Experience with other cloud platforms (e.g., AWS, Google Cloud Platform).

Education Requirements
Bachelor s degree in computer science, Engineering, or a related field
Experience Requirements
2-5 years of experience or 5+ years of relevant work experience.
About Us: SPECTRAFORCE is one of the fastest-growing workforce solutions firms in the United States. As a diversity-owned business, we place human connection at the heart of everything we do, building strong relationships with both clients and candidates to fill roles successfully. Our teams in North and Central America and India serve more than 150 Fortune clients globally, leveraging custom AI technology to provide direct hire, executive search, nearshoring, offshoring, and project staffing solutions.
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at if you require reasonable accommodation.
California Applicant Notice: SPECTRAFORCE is committed to complying with the California Privacy Rights Act ( CPRA ) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting .
LA County, CA Applicant Notice: If you are selected for this position with SPECTRAFORCE, your offer is contingent upon the satisfactory completion of several requirements, including but not limited to, a criminal background check. We consider qualified applicants with arrest or conviction records for employment in accordance with all local ordinances and state laws, including the Los Angeles County Fair Chance Ordinance for Employers (FCO) and the California Fair Chance Act (FCA). The background check assessment will consider whether a criminal history could reasonably have a direct, adverse impact on the job-related safety, security, trust, regulatory compliance, or suitability for this role. Such findings may result in withdrawal of a conditional job offer.
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.