Lead Software Engineer - Enterprise Data Warehouse

Florida, Lakeland

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Facility

Lak Information Systems/DTO B047

State

Florida

Frequency of Pay

Monthly

Travel Frequency

0%

Minimum Base Pay

10,195

Additional Information

Your application may have additional steps that you will need to complete in order to remain eligible for consideration.  Please be sure to monitor your email, including your spam folder, on a daily basis for critical, time-sensitive emails that could require action within 24-48 hours.  
  
Please do not use your Publix email address when applying.  Once your application has been successfully submitted you will receive a confirmation email. 

***Relocation/Household Good Shipment Allowance will NOT be provided.**

Address

321 S. Kentucky Ave

Potential Annual Pay with Bonus

132,535 - 198,770

City

Lakeland

Year End Bonus

As a year-end bonus to associates, Publix issues one month’s extra pay (pro-rated in the first year) each year if associate remains employed through issue date of the bonus check that year. This is calculated as a 13th month of pay in the Potential Annual Pay with Bonus line above.

Maximum Base Pay

15,290

Required Qualifications

  • Bachelor’s degree in Computer Science or other analytical discipline or equivalent experience
  • 7+ years of experience designing, developing, and supporting applications in an enterprise environment
  • 5+ years of experience using AWS, GCP, or Azure cloud computing technologies
  • 2+ years of data engineering experience with Databricks, Spark for batch and streaming, Python, SQL or relational databases, and data pipeline management
  • 1+ year of hands-on experience with Snowflake platform
  • 1+ year experience as a ETL Developer with IBM DataStage, or other ETL tools
  • In-depth knowledge of Model and Design of DB schemas for read and write performance
  • Experience tuning Databricks and Snowflake processes
  • Experience with DevOps Integration, DevOps Pipelines, or other CI/CD tools
  • Experience working in a data lake environment managing structured and unstructured data, leveraging data streaming, and developing data pipelines driven by events/queues
  • Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management

Preferred Qualifications

  • Knowledge of Azure Data Lake and Data Lake Analytics
  • Experience with Python, C#, Scala, or Java
  • Experience with Kafka, Azure Event Hubs (or similar tech), or any other large-scale streaming technologies
  • Experience with Machine Learning and Data Science algorithms
  • Experience with Spark optimization and SQL Optimization 
  • Experience with Power BI
  • Experience in designing large scale Distributed applications that are batch, micro-batch, and real-time
  • Experience with sourcing on-prem data into the cloud and persisting the data for scalability
  • Experience with data partitioning, compaction, and open-source file formats like Parquet and Delta

Zip Code

33801-5004

Benefits Information

  • Employee stock ownership plan that contributes Publix stock to associates each year at no cost
  • An opportunity to purchase additional shares of our privately-held stock
  • 401(k) retirement savings plan
  • Group health, dental and vision plans
  • Paid Time Off
  • Paid Parental Leave
  • Short- and long-term disability insurance
  • Tuition reimbursement
  • Free hot lunches (buffet-style) at facilities with a cafeteria
  • Visit our website to see all of our benefits: Benefits - Jobs (publix.com)

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Tags: AWS Azure CI/CD Computer Science Databricks Data pipelines Data warehouse DevOps Engineering ETL GCP Java Kafka Machine Learning Open Source Parquet Pipelines Power BI Python RDBMS Scala Snowflake Spark SQL Streaming Unstructured data

Perks/benefits: Career development Equity / stock options Health care Insurance Lunch / meals Parental leave Salary bonus

Region: North America
Country: United States

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