Offer summary

Qualifications:

Strong knowledge of Python and SQL., 5+ years of experience as a data engineer or similar role., Expertise in Big Data manipulation and transformation., Familiarity with cloud environments like AWS, Azure, or Google Cloud..

Key responsabilities:

Design and build cloud-based data pipelines and analytics solutions.

Engineer complex data transformation and preparation for analytics.

Engage with business stakeholders to identify and solve business problems.

Collaborate with Data Science and development teams on data architecture and solutions.

Job description

NOTE: THIS POSITION IS TO JOIN AS W2 ONLY.

Senior Data Engineer

Location: Atlanta, GA - REMOTE

Duration: 6+ Months

Description:

You must be a hands-on Senior Data Engineer with the knowledge, motivation, and energy to provide design and technical leadership to developers, data providers, and data consumers, and directly contribute to the making of applications, data pipelines, and data service solutions. You’ll work with some of the best architects, Data Scientists, Machine Learning engineers, developers, product managers, and senior management in the industry to build cloud-based, data-rich products using an Agile process and tools.

You will be a member of the C360 Tooling team, based in Atlanta, and responsible for building mission-critical applications supporting Ad Sales, Promotional Marketing, and other high-revenue, high-visibility stakeholders for Client worldwide. Our projects include advertising optimization and audience segmentation tools that use Big Data and Machine Learning. We are growing our very adaptive team that creates high quality products.

Job Responsibilities:

Specify, design, and build cloud-based data pipeline, transformation, warehousing, BI, analytics, and decision-support solutions and components
Engineer and take ownership of complex data transformation, cleansing, imputation, and other preparation for downstream analytics, Machine Learning, and visualization use cases
Engage closely with business stakeholders to deeply understand business problems and tease out potential solutions to meet business needs
Collaborate with Data Science and development teams to provide data architecture guidance and contribute to construction of data- and science-rich solutions

Must Have Skills:

Strong Python and SQL knowledge
5+ years’ hands-on experience as a data engineer, data/software architect, or advanced BI analyst;
Expert-level competency in Big Data manipulation and transformation, both within and outside of a database
Strong work ethic, collaboration, and communication skills
4+ Years of experience with written and verbal communication with stakeholders in past roles.
Some familiarity with cloud architecture
2+ years of experience within AWS, Azure, or Google cloud environments.

Nice to Have Skills / Preferred Requirements:

Experience in cloud computing and architecture
Competency in API creation, and Machine Learning model deployment
Eagerness to learn both the technology and business of Warner Media
DataBricks, SnowFlake, or AirFlow experience.
Pizzazz! Unique and exciting education, career, and life experience to expand the intellectual and cultural variety of our team
Aptitude and desire to work with and mentor junior tech talent
Experience building effective, efficient solutions in AWS, using Terraform and/or CloudFormation to build infrastructure as code
Education, training, and certifications in engineering, computer science, math, statistics, analytics, or cloud computing

Required profile