At Tectu, you can make a real impact! As a Data Engineer you will play a lead role in delivering data and business strategies, solutions and processes to support the data oriented projects. The ideal candidate is passionate about delivering cutting edge solutions to support the changing business needs and technology landscape. You will be working closely with others on our Product and Engineering teams to define and deliver these solutions.
If you are data obsessed, passionate about technology, self-motivated and a disciplined freelancer, we would love to speak with you. The ideal candidate has both a willingness and desire to work in a dynamic environment, is able to apply Agile methodologies in day-to-day activities, and who enjoys working both independently with little oversight and in a team environment.
At Tectu, we work with various customers, providing advanced tech solutions to solve different problems and needs. As a Data Engineer at Tectu, your day will most likely vary according to which projects youre involved in, but generally youll be performing the following activities:
Owning major projects from inception to production deployment, shipping at a rapid pace
Architecting, designing and developing simple, yet flexible solutions for a variety of customers
Designing and building data infrastructure such as data ingestion, pipelines, warehouses, and data lakes that are efficient architectures and capable of storing and analyzing large quantities of data
Solving challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
Recommending and implementing ways to improve data reliability, efficiency, cost and quality
Participating in defining data strategy and capabilities roadmap
Contributing to team-wide efforts - code reviews, design reviews, technical decisions, and mentoring others
5+ years of experience in data engineering, data warehousing and data lake platforms
Strong proficiency of SQL and Python
Experience in data analytics, data modeling, ETL/ELT, data integration and orchestration (e.g. Airflow) and processing of structured and unstructured data.
Experience in a variety of big data technologies such as AWS EMR (Spark) and Athena (Presto)
Experience with DWH solutions like AWS Redshift, BigQuery, Clickhouse
Experience with latest cloud technologies of one of the biggest vendors (AWS is an advantage)
A proven track record of owning and delivering tasks and projects on time
Strong work ethic and strong core values (honesty, integrity, creativity)
Sense of urgency, ownership mindset, and customer focus
Innovative problem solver who takes initiative never stops thinking about ways to improve
Ability to self-learn new skills and technologies
BS in highly-quantitative field (Analytics, Computer Science, Mathematics, EE) is preferred
Experience designing data systems from scratch
Data driven mindset
Able to create and communicate the 'big picture' in a clear way.
Experience with data testing and data ops tools
Experience with writing tested code as part of development lifecycle (e.g. Unit, Integration, API)