LPL Financial | Senior Big Data Engineer Virtual Hiring Event | San Diego, CA | United States | BigDataKB.com | 2023/01/18

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Job Location: San Diego, CA

Job Detail:

Are you a team player? Are you curious to learn? Are you interested in working in meaningful projects? Do you want to work with cutting-edge technology? Are you interested in being part of a team that is working to transform and do things differently? If so, LPL Financial is the place for you!

LPL Financial (Nasdaq: LPLA) was founded on the principle that the firm should work for the advisor, and not the other way around. Today, LPL is a leader* in the markets we serve, supporting more than 18,000 financial advisors, 800 institution-based investment programs and 450 independent RIA firms nationwide. We are steadfast in our commitment to the advisor-centered model and the belief that Americans deserve access to personalized guidance from a financial advisor. At LPL, independence means that advisors have the freedom they deserve to choose the business model, services, and technology resources that allow them to run their perfect practice. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors, so they can take care of their clients.

Job Overview:

As a Sr. Big Data Engineer, you will partner with our users and other data product teams to understand their needs and build impactful data/analytics solutions. You will design and build data pipelines to support applications and data science projects following software engineering best practices.

Responsibilities:

  • Work with development teams and other project leaders/stakeholders to provide technical solutions that enable business capabilities
  • Design and develop data applications using big data technologies (Hadoop, AWS) to ingest, process, and analyze large disparate datasets
  • Build robust data pipelines on Cloud using Airflow, Spark/EMR, Kinesis, Kafka, Lambda or other technologies
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS ‘big data’ technologies.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Implement architectures to handle large scale data and its organization
  • Execute strategies that inform data design and architecture partnering with enterprise standard
  • Work across teams to deliver meaningful reference architectures that outline architecture principles and best practices for technology advancement

What are we looking for?

We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.

Requirements:

  • BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience
  • 5+ years of solid development in big data stack and programming experience in Python and Spark/Scala
  • 3+ years of experience in data modeling, data warehousing, and big data architectures using Hadoop /EMR, Spark, Redshift, Snowflake, No- SQL, or similar large scale distributed systems
  • 3+ years of experience in a data engineering role to build Highly scalable large data pipelines
  • 1+ years’ experience with AWS

Preferences:

  • Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments
  • Experience in CI/CD pipeline and code repositories like GitHub or Bit Bucket
  • DevOps experience with Terraform
  • Experience using JIRA and Agile Project Management software
  • Microsoft SQL Server
  • Oracle
  • MS Access
  • Batch Processing
  • Informatica
  • C#
  • Nice to have experience with microservice development, Docker, Kubernetes
  • Hands-on experience in BI Tools like Tableau, Power BI

Preferred dress code

Business casual (dress pants/skirt, button down/blouse, optional tie)

What is a virtual interview?

Virtual interviews help employers connect with job seekers when they are not in the same physical location. Since hiring is a human process, employers would like to talk with you online (chat, video or phone) to see if you meet the requirements for the job.




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