Senior Data Engineer

Industry: Finance
Remote
Company size: 251-10K
Full-time/Part-time

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Job description

A rapidly-growing company that is dabbling extensively in retail and institutional brokerage services is looking for a Senior Data Engineer. The engineer should have a thorough understanding of business and possess excellent analytical abilities, allowing them to provide the anticipated benefits to the company. The company’s intuitive trading platform is enabling clients across all walks of life to make major financial decisions by providing them with the highest quality investment opportunities. Candidates who are eager to cinch new heights and build an enviable career would be an ideal fit for this job. 

 

Job Responsibilities:


  • Combine strong data modeling, integration, and data engineering abilities in Python and SQL
  • Utilize the Azure stack and stay informed about the Data team's engineering efforts
  • Possess an opinion on information architecture and how it should be developed to meet functional needs and company goals
  • Participate actively in the data transformation effort by liaising with the teams responsible for reporting, data science, governance, and business partnerships
  • Work with the newest technologies in a cloud-based environment in a multidisciplinary team comprising analysts, data scientists, data engineers, and SMEs to improve the caliber of data-based decision-making throughout the company
  • Participate in the creation of the platform and support for data analytics, guaranteeing standardized and simple data exchange and access
  • Become familiar with and utilize Databricks, Azure Events Hub, Azure Data Lake, and Synapse
  • Assist with the development, construction, and upkeep of data pipelines for various data sources and communicate with system owners
  • Be proficient at ingesting and transforming data in real-time to meet our use cases
  • Make that all data interfaces are consistent with governance and provide high-quality data tools and capabilities
  • Make certain that the transformation backlog is sent to the data products, derived tables, and source systems
  • Analyze complicated data and present your findings
  • Collaborate closely with other senior and lead engineers to support BAU efforts and develop new products
  • Troubleshoot BAU-related problems, create a JIRA, and work on process improvements
  • Encourage others to build on your work and share your knowledge with your teammates
  • Engage in on-call duties to assist with any significant malfunctions.
  • Engage in a rotating on-call schedule for production support
  • Assist with sporadic data requests and operational problems


Job Requirements:


  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 10+ years of relevant experience as a data engineer
  • 10+ years of experience in a data engineering capacity with exceptional hands-on abilities 
  • Data Engineering certification as an Azure Data Engineer or Google Certified Professional
  • Ability to oversee initiatives on an individual basis
  • Extensive knowledge of Python, Pyspark, and SQL
  • Working knowledge of and comprehension of Azure Databricks, Azure Events Hub, Azure Data Lake, and Azure Synapse
  • Strong experience in data warehousing, big data processing, ETL workflow design, and data pipeline architecture
  • Proven background in creating Python frameworks
  • Extensive background in analytics solutions and data mapping for business processing.
  • Substantial expertise in the concepts of corporate data modeling
  • Strong debugging and troubleshooting abilities
  • Excellent English communication skills, both spoken and written 

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