HL Solutions

Big Data Engineer

Lancaster, PA

Skills/Tools: Databricks, Snowflake, Hadoop, Spark, Azure Data Factory

Job Description:

Title: Big Data Lead (Snowflake)

Location: Lancaster, PA (Remote until Covid)

Duration: Long Term Contract or Fulltime

Job Description:

  • Minimum of 7 – 8 years of related work experience.
  • Two or more years of experience in Snowflake, architecting and delivering Enterprise Data Solutions including Data Lakes, Data Warehouses and Data Pipelines.
  • Experience with modern data movement, storage, management and security technology and tooling.
  • Design scalable patterns and architecture to support both batch and real-time data products & platforms using Snowflake.
  • Ensure physical and logical data models are designed to support future, unknown use cases with minimal rework.
  • Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming, data in-transit.
  • Contribute to the direction, road map and standards for functional, process and technical Data solutions.
  • Evaluate and advise on local or domain data architecture solutions for medium to large portfolio projects.
  • Analyzing and translating business requirements into functional and technical requirements and design.
  • Must be able to understand requirements, create and review designs, validate the architecture, and ensure high levels of service offerings to clients in the technology domain.
  • Should participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan
  • Designing, implementing, and analyzing high performing queries.
  • Lead the way in creating next-generation talent, mentoring internal talent and help leadership in recruiting external talent.
  • Help with intake prioritization.
  • Experience with modern engineering practices and how to use and apply them to Data Architectures and solutions.
  • Experience with data modelling, data warehousing, reverse engineering and building high volume ETL/ELT pipelines.
  • Experience with integration of multi cloud services with On-premises technologies.
  • Must lead and guide your teams towards developing optimized high-quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
  • Should be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey,
  • Should possess excellent communication skills

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Big Data Engineer

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