200+ applicants

Company

Original Job Post

Fandango · 3 days ago

Senior Data Engineer

Orlando, FL

Full-time

Onsite

Senior Level

9+ years exp

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Responsibilities

Contribute to and help lead team in design, build, testing, scaling, and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements.

Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies.

Collaborate with business leaders, engineers, and product managers to understand data needs.

Become a subject matter expert for data engineering related technologies and designs.

Develop and champion best practices, striving towards excellence and raising the bar within the department.

Troubleshoot and fix production issues as they occur.

Mentor team members with complex technical and design issues.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringData PipelinesOrchestrationData ModelingData LakeProgrammingPythonJavaScalaSQLData WarehousingRelational data modelingDimensional data modelingData sourcesAPIsReal-time feedsStructured file formatsSemi-structured file formatsLarge datasetsPySparkApache AirflowAmazon MWAANear Real-TimeBatch Data PipelineAWS data managementS3RedshiftDynamoDBAthenaEMR

Required

BA/BS degree in Computer Science, Computer Engineering or related technical field or equivalent practical experience.

9+ years of applied experience in Data Engineering, including but not limited to building Data Pipelines, Orchestration, Data Modeling & Data Lake.

Programming skills in one or more of the following: Python, Java, Scala, SQL, and experience in writing reusable/efficient code to automate analysis and data processes.

Experience in Data Warehousing (Relational and dimensional data modeling).

Strong working experience with a variety of data sources such as APIs, real-time feeds, structured and semi-structured file formats.

Experience with processing large datasets and building code using SQL, Python, pySpark & Apache Airflow / Amazon MWAA.

Experience of near Real-Time & Batch Data Pipeline development.

Experience with AWS data management (S3, Redshift, DynamoDB) and related tools (Athena, EMR, Glue, Lambda).

Experience working with Terraform.

Experience working in an agile/scrum environment.

Experience with Talend, Informatica, or other off-the-shelf ETL tools.

Preferred

Familiar with software build, release, deployment, and monitoring tools and practices.

Strong Test-Driven Development background, with an understanding of levels of testing required to continuously deliver value to production.

Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm, and willingness to learn new methods, tools, practices, and skills.

Ability to work effectively across functions, disciplines, and levels.