Senior Data Engineer - Expert In Recruitment Solutions

Skill sets needed: ETL/ELT, Python/SQL, Big Data, Docker, Gitlab, Airflow, Snowflake, Looker and PostgreSQL, AWS, S3

Interview Schedule/Availability: Zoom followed by zoom panel interview

This is an onsite role in Burbank, CA.

EXTERNAL JOB DESCRIPTION:

The team is involved in various activities ranging from data acquisition and validation, designing and implementing ETL/ELT data pipelines, designing and implementing databases, and evolving our next generation data platform to fulfill the needs of our applications, data services, ad-hoc analytics and self-service/POC initiatives.

Responsibilities

The Data Engineering team (within DDSI) is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.

This Senior Data Engineer will be responsible for partnering with our Studios or Enterprise Technology team members in various activities around data requirements gathering, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, designing and implementing database schema/tables/views, plus deployment across multiple environments such as DEV, QA/UAT and PROD.

The role will leverage a multitude of technologies to fulfill the work including, but not limited to SQL, Python, Docker, Gitlab, Airflow, Snowflake, Looker and PostgreSQL

Basic Qualifications Basic Qualifications:

• 3+ years' experience with Python

• 4+ years' experience with SQL

• 3+ years' experience designing, building and maintaining ETL/ELT data pipelines

• 2+ years' experience with cloud based technologies, preferably AWS and S3

• Experience using Apache Airflow, Databricks

• 2+ years leveraging, designing and building relational databases

• 2+ years of experience using Gitlab/Github

Preferred Qualifications Preferred Qualifications

• Experience with Snowflake, Airflow, Gitlab, , Tableau

• Experience in streaming, media, or digital marketing domain3+ years' experience in a Data Engineering role

• SQL, Python, Snowflake, Gitlab, Airflow, AWS S3 and Relational Databases

• 2+ years' experience working on a cloud platform

• 2+ years' experience working with data lakes, data warehouses and application databases

Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar

• Experience with SQL Query optimization based on runtime and cost

• Participate in driving best practices around data engineering software development processes

Required Education Bachelor degree in Computer Science, Mathematics