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Senior Data Engineer

3 months ago

Dallas, United States Brooksource Full time

Senior Data Engineer

Plano, TX (Hybrid onsite 2 days a week)

6+ Month Contract


As the Senior Data Engineer for a Fortune 50 company, you will be responsible for day-to-day data collection, transportation, maintenance, and access to enterprise data within data management & operations organization. You will work with a team of data engineers to build data pipelines and develop large & complex data applications into public cloud environments.


MINIMUM QUALIFICATIONS

  • Bachelor’s degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline or equivalent experience/training.
  • 6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture.
  • 4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
  • 4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).
  • 2+ years in cloud data engineering experience in Azure.
  • Fluent with Azure cloud services. Azure Certification is a plus.
  • Experience with integration of multi cloud services with on-premises technologies.
  • Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.
  • Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
  • Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
  • Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
  • Experience with version control systems like Github and deployment & CI tools.
  • Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.
  • Experience with Statistical/ML techniques is a plus.
  • Experience with building solutions in the retail or in the supply chain space is a plus
  • Understanding of metadata management, data lineage, and data glossaries is a plus.
  • Working knowledge of agile development, including DevOps and DataOps concepts.
  • Familiarity with business intelligence tools (such as PowerBI).


RESPONSIBILITES:

  • Active contributor to code development in projects and services.
  • Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
  • Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
  • Responsible for implementing best practices around systems integration, security, performance and data management.
  • Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
  • Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
  • Providing technical guidance and code reviews to colleagues
  • Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
  • Develop and optimize procedures to “productionalize” data science models.
  • Define and manage SLA’s for data products and processes running in production.
  • Support large-scale experimentation done by data scientists.
  • Prototype new approaches and build solutions at scale.
  • Research in state-of-the-art methodologies.
  • Create documentation for learnings and knowledge transfer.
  • Create and audit reusable packages or libraries.