Job description
Optimizely is focused on unlocking digital potential and we are the recognized category leader in Digital Experience Platform (DXP) and created the category for A/B Testing and experimentation software. We have incredible customers – isn’t that one of the most important aspects of looking for your next job? Optimizely has over 9,000 brands from global organizations such as Visa, Sky, Yamaha, Wall Street Journal to tech innovators like Atlassian, DocuSign, FitBit and Zillow.
Not only are we financially sound and growing but we have unicorn status: Exceeded $300M in revenue in 2020, is profitable already, and has all strategic options ahead of itself. Optimizely continues to invest and addresses a market opportunity north of $30 billion, providing significant personal career growth opportunities.
We are an inclusive culture with a global team of 1200+ people across the US, Europe, Australia, and Vietnam. We blend European and American business culture with emphasis on teamwork, inclusion, and moving fast. People make the difference!
If you are looking to work on the next generation of digital technologies in a fast-paced, hyper-growth environment, apply! We’re just getting started...
Introduction
As Senior Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You will be responsible for collecting data from multiple sources and building optimal pipelines to process & leverage the data to meet various business requirements. You will be responsible for the execution of our data strategy through design and development of the Data platform using, but not limited to, AWS technologies, Airflow and Snowflake to deliver Reporting, BI and Analytics solutions. You will be working closely with business and technical stakeholders to aggregate, analyze & transform data to report insights.
Job Responsibilities
- Create and maintain optimal data pipeline architecture
- Assemble, analyze and organize large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Snowflake and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Assist the data science team by preparing data for prescriptive and predictive modelling
- Collaborating with the data architects, analysts and scientists on the team
Knowledge and Experience
- 5+ years of experience as a Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience in SQL
- Experience with building data pipelines and applications to stream and process datasets
- Knowledge of Engineering and Operational Excellence using standard methodologies.
- Expertise in designing systems and workflows for handling Big data volumes
- Knowledge of data management fundamentals and data storage principles
- Strong problem-solving skills and ability to prioritize conflicting requirements.
- Excellent written and verbal communication skills and ability to succinctly summarize key findings.
- Experience working with AWS Big Data Technologies (EMR, Redshift, S3)
Education
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Competencies
Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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