Data Engineer
Employment Type : Full-Time
- Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
- 5+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
- Demonstrated strength in data modeling, ETL development, and data warehousing
- Experience using big data technologies (Hadoop, Hive, HBase, Spark etc.)
- Experience using business intelligence reporting tools (Quicksight, Tableau, Business Objects, Cognos etc.)
- Knowledge of data management fundamentals and data storage principles
- Knowledge of distributed systems as it pertains to data storage and computing.
- Experience working with AWS big data technologies (Redshift, S3, EMR, Athena, Glue etc.,).
Knowledge and experience in implementation related to data lake, data warehouse and modern trends such as intelligent data lake, delta lake and lake house architectures as well as AWS well-architected framework.
We're a company of pioneers. It's our job to make bold bets and we get our energy from inventing on behalf of customers. Success is measured against the possible, not the probable. For today’s pioneers, that’s exactly why there’s no place on Earth they’d rather build than here.
The OpsTech IT team needs an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as outstanding business acumen and the ability to work with quantitative and business teams. Our top candidate will be a self-starter comfortable forging their own trail, with a sharp eye for details, an ability to work in a fast-paced and ever-changing environment, and the ability to communicate effectively with senior leadership.
The ideal candidate is an independent and curious self-starter with a demonstrated ability to produce high-quality technical content, drive complex documentation projects, collaborate with technologists and subject matter experts, and have a high tolerance for ambiguity and a bias toward action. The ideal candidate will have excellent analytical abilities, and the ability to synthesize data.
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Familiarity with statistical models and data mining algorithms · Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
- AWS Certification in either AWS Certified Data Analytics – Specialty (Formerly known as AWS Certified Big Data – Specialty) OR AWS Certified Solutions Architect – Associate OR AWS Certified Solutions Architect – Professional is preferred.
- Tableau Server Certified Associate certification is preferred.