Senior AWS Big Data EngineerApply Job ID: R-014266 Date posted: 07/12/2021 Primary Location TX-Austin Other Locations SC-Fort Mill
Are you looking for an opportunity to work with the big data and analytics teams to lead the design, engineer and develop capabilities in the cloud that aligns with transformation and business strategies and be part of a supportive team environment that thrives on innovation?
If so, then this could be the role for you!
LPL Financial is one of the nation's leading financial services companies and a publicly traded company under ticker symbol LPLA. We support over 18,000 financial professionals—including over 14,000 independent advisors, more than 700 financial institutions, and over 4,000 institutional clearing and technology subscribers. We enable advisors to focus on their clients by reducing the complexity of running their practice and we support their business by offering enabling technology, comprehensive clearing and compliance services, practice management programs and training, and independent research. At LPL, we take care of our advisors, so they can take care of their clients. And Technology is at the center of our mission.
We are looking for an experienced Sr. AWS/Big Data Engineer to join the Data & Analytics team, a team of data and technology professionals who define and execute the strategic data for LPL Financial. The successful candidate will build data solutions using state of the art technologies to acquire, ingest and transform big datasets
As a Sr. AWS/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
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 does your success look like in the first 90 days?
Understand LPL data ecosystem and current data ingestion/distribution patterns
Build understanding on LPL processes, strategic plays, and key outcomes
Build partnership with other data product and functional teams and start aligning to data and analytics roadmap
Have a fully functional environment setup for the development activity
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.
BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience
3+ years of solid development in big data stack and programming experience in Python and Scala
3+ years of hands-on experience with the creation and automation of enterprise data pipelines and orchestration framework (for example: Airflow), Spark, Lambda on Cloud/hybrid / On-prem deployment architecture
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, Data, and ML pipeline experience
Experience using JIRA and Agile Project Management software
Nice to have experience with microservice development, Docker, Kubernetes
Hands-on experience in BI Tools like Tableau, Power BI
Austin, TX or Fort Mill, SC location
At LPL, we believe that objective financial guidance is a fundamental need for everyone. As the nation’s leading independent broker-dealer, we offer an integrated platform of proprietary technology, brokerage, and investment advisor services. We provide you with a work environment that encourages your creativity and growth, a leadership team that is supportive and responsive, and the opportunity to create a career that has no limits, only amazing potential.
We are one team on one mission. We take care of our advisors, so they can take care of their clients.
Because our company is not too big and not too small, you can seize the opportunity to make a real impact. We are committed to supporting workplace equality, and we embrace the different perspectives and backgrounds of our employees.We also care for our communities, and we encourage our employees to do the same. This creates an environment in which you can do your best work.
Want to hear from our employees on what it’s like to work at LPL? Watch this!
We take social responsibility seriously. Learn more here
Want to see info on our benefits? Learn more here
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (800) 877-7210.