STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!
Strategic Staffing Solutions is currently looking for a Data Engineering Analyst on a W2 contract for one of its clients!!
Candidates should be willing to work on our W2 ONLY.
Data Engineering Analyst
Location: Charlotte, NC
Schedule: Hybrid
Duration: 12 months
Role Type: W2 contract (NO C2C, No 1099)
Position Summary: The Data Engineering Analyst is responsible for designing, building, and optimizing data pipelines and architectures that support advanced analytics, business intelligence, and digital transformation initiatives. This role partners with business stakeholders and IT teams to translate business requirements into robust data solutions, ensuring data quality, governance, and accessibility across cloud and on-premise environments. The ideal candidate combines deep technical expertise in data engineering with excellent communication skills to drive impactful outcomes.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines for ingesting, transforming, and delivering data from diverse sources (cloud, on-premise, digital channels).
- Collaborate with business leaders and technical teams to gather, define, and document data engineering requirements.
- Migrate and optimize datasets from on-premise databases to cloud data warehouses.
- Perform exploratory data analysis to identify anomalies, inform engineering methods, and improve data quality.
- Build and manage technical documentation, including ETL mappings, data dictionaries, and data models.
- Validate data migrations and transformations through rigorous testing and quality assurance processes.
- Implement and monitor data governance policies, including privacy, retention, and audit requirements.
- Develop and maintain data visualizations and dashboards to communicate insights to stakeholders.
- Lead cross-functional efforts to align business needs with technical solutions, fostering collaboration and knowledge sharing.
Required Qualifications
- Bachelor s degree in computer science, engineering, statistics, or related field (or equivalent experience).
- 5 10 years of experience in data engineering, analytics, or related technical roles.
- Advanced SQL skills and experience with data modeling, ETL processes, and large-scale data manipulation.
- Strong analytical, problem-solving, and communication skills.
- Experience with cloud data platforms and migration projects.
- Proficiency in writing effective test cases/scripts and maintaining traceability matrices.
- Experience with data validation, product testing, and usability testing.
- Project management or process improvement experience.
Technologies & Platforms Used
- Cloud Data Warehouses: Amazon Redshift, Snowflake, Google BigQuery
- Stream Processing: Apache Kafka, Apache Spark, Apache Flink, AWS Kinesis
- Programming Languages: Python, JavaScript, SAS, R, SciPy
- ETL & Data Integration: SAP, C4C (Cloud for Customer), Data Marketplace, custom ETL tools
- Business Intelligence & Visualization: Power BI, Tableau
- Testing & Validation: API testing, QA and production validation, traceability matrix
- Digital Channels: Web, Mobile App, Interactive Voice Response (IVR)
- Collaboration & Agile Tools: Teams, Agile planning, retrospectives
Desired Qualifications
- Experience with data privacy, PII regulatory requirements, and data governance.
- Familiarity with omni-channel concepts and digital platforms.
- Agile project experience and test-driven development.
Beware of scams. S3 never asks for money during its onboarding process.
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