Sr Data Engineer - GCP

Job Summary

The primary purpose of this role is to translate business requirements and functional specifications into logical program designs and to deliver modules, stable application systems, and Data or Platform solutions. This includes developing, configuring, or modifying complex integrated business and/or enterprise infrastructure or application solutions within various computing environments. This role facilitates the implementation and maintenance of complex business and enterprise Data or Platform solutions to ensure successful deployment of released applications.

Key Responsibilities

• Resolves simple to medium complex problems spanning across multiple applications to deliver value; participates in planning and estimation and advises other junior engineers; executes with limited guidance.
• Helps evaluate and facilitate decisions on build versus buy as well as best fit platform suitable for the business problem.
• Leads development of integrated business and/or enterprise application solutions to ensure specifications are flexible, scalable, and maintainable and meet architectural standards.
• Uses current architectural standards and guidelines to drive efficiency when working on the design efforts of complex business and enterprise data or platform solutions.
• Ensures good unit testing coverage accounting for all boundary conditions and comes up with the system integration test plan and testing framework for data engineers to leverage and implement both unit testing and functional testing and support user acceptance testing.
• Works within the domain to define and design a data solution to meet business needs and product objectives and key results, service level agreements, data quality, and observability.
• Works with the data governance team to establish retention, privacy, and security guidelines for different datasets.
• Works with the data science team to understand mathematical models and algorithms; educates and influences data scientists on how data engineering can help scale and deploy models.
• Analyzes and organizes data to evaluate the usefulness and relevance of data required for insights requested by the business.
• Designs and leads the development, maintenance, and enhancements of operational, analytical (including self-serve) applications across various business domains; helps create frameworks and reusable components.
• Participates in infrastructure-related projects from idea generation through implementation including needs analysis, cost-benefit analysis, selection, implementation, knowledge transfer, and support.
• Analyzes and helps propose design alternatives and facilitates appropriate design decisions; assesses risk, cost, schedule, and resource tradeoffs; understands networking, like subnetting, routing, virtual private cloud/virtual network, security groups, and load balancing.

Required Qualifications

• Bachelor's Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)
• 5 years of experience in Data, BI or Platform Engineering, Data Warehousing/ETL, or Software Engineering
• 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)

Preferred Qualifications
• Master's Degree in Computer Science, CIS, or related field
• 5 years of IT experience developing and implementing business systems within an organization
• 5 years of experience working with defect or incident tracking software
• 5 years of experience writing technical documentation in a software development environment
• 3 years of experience working with an IT Infrastructure Library (ITIL) framework
• 3 years of experience leading teams, with or without direct reports
• 5 years of experience working with source code control systems
• Experience working with Continuous Integration/Continuous Deployment tools
• 5 years of experience in systems analysis, including defining technical requirements and performing high level design for complex solutions
Data Engineering
• 3 years of experience in Hadoop or any Cloud Bigdata components (specific to the Data Engineering role)
• Expertise in Java/Scala/Python, SQL, Scripting, Teradata, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka or equivalent Cloud Bigdata components (specific to the Data Engineering role)
BI Engineering
• Expertise in MicroStrategy/Power BI/SQL, Scripting, Teradata or equivalent RDBMS, Hadoop (OLAP on Hadoop), Dashboard development, Mobile development (specific to the BI Engineering role)
Platform Engineering
• 4 years of experience in Hadoop, NO-SQL, RDBMS or any Cloud Bigdata components, Teradata, MicroStrategy (specific to the Platform Engineering role)
• Expertise in Java/Scala/Python, SQL, Scripting, Teradata, MicroStrategy, Oracle, MySql, SQL Server, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka or equivalent Cloud Bigdata components (specific to the Platform Engineering role)

About Lowe’s 

Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com

Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.