Sr. Data Engineer, MarTech at Giant Eagle, Inc. - Other US Location | Job Transparency - Job Transparency | Find Your Dream Job with Full Salary Transparency

Job Summary

You will be working on a team to bring customer-centric personalization to life. In this role, you will be empowered to develop data solutions in support of customer facing applications as well as analytics for internal teams and business. This leading technical and architecture role will collaborate with product managers, architects, technology teams, analysts, marketing operations specialists, and monetization business partners to understand capabilities and that will be brought to life for Giant Eagle’s 4M+ customers.

Job Description

Experience Required: 5+ years of relevant technical experience working with various data engineering methodologies such as data integration and data pipelines (ETL/ELT) to activate against data at scale.
Experience Required: 3+ years of experience with search technologies such as Algolia, ElasticSearch, etc.
Experience Required: 3+ years of experience of data modeling for analytic projects activities that include design, curation, and management of large datasets.
Experience Required: 3+ years of experience a developing on big data technologies with Spark and Hive, preferably leveraging such as DataBricks, Juypter notebooks, or GCP, AWS, and Azure equivalent technology.
Experience Required: 2+ years of experience data solution design for data engineering pipelines.
Strong Experience building event driven systems using cloud technology: storage, Pub/Sub, cloud functions, API’s, and DataProc.
Expertise with databases such as MySQL, Postgres, DynamoDB, BigQuery, Snowflake, and Synapse designing schema and dimensional data modeling.
Experience with cloud technologies such as AWS Lambda, Kinesis, Azure Functions, EventGrid, etc. Experience leveraging RESTful web services to collect and publish data.
Experience in software engineering development and testing life cycles using Python and other programming languages.
Education Required: Bachelor’s Degree in Software Engineering or related field.

Job Responsibilities

Architect, develop and implement end-to-end complex data projects and technical solutions through translating business requirements into technical solutions and data-flow architectures.
Architect, build and automate data pipelines that clean, transform, and aggregate unorganized data into data sources ready for customer-facing applications to use efficiently and teams to use for analysis.
Use expertise to apply various analytic methods to discover and interpret information about customer behavior from multiple data sources to implement analytics solutions.
Use expertise in database design to implement and operate stable and scalable dataflows.
Provide subject matter expertise for multiple projects concurrently through all phases of the development lifecycle.
Develop, enhance, govern, and administer for data platform to: collect data, transform, enrich, unify, segment, and integrate data.
Strong adherence to data ethics rules around PII data sets.
MUST have previous experience in reviewing code
Previous experience coaching and mentoring Jr. Data Engineers

Sr. Data Engineer, MarTech

Company

Location

Type

Job Description

Date Posted

Views

Similar Jobs

Senior Investigator I - Department of Health and Human Services - Food and Drug Administration

Senior Investigator I - Department of Health and Human Services - Food and Drug Administration

Investigator I - Department of Health and Human Services - Food and Drug Administration

Forestry Technicain - Department of Agriculture - Forest Service

Meteorological Technician - Department of Agriculture - Forest Service

Forestry Technician (Recreation) - Department of Agriculture - Forest Service