Description review
Data Engineer (Freelancer)
Tectu · Israel · back to the listing
HR standards
54/100
needs work
Title ↔ description
83/100
solid
Reads as
Data Engineer
100% confident
How others title the same work
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What the listing never says
- 24 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
About the Role
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
Requirements
• 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
Soft Skills
• 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
Advantage
• 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)
Originally posted on Himalayas
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.
About the Role
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
Requirements
• 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
Soft Skills
• 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
Advantage
• 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)
Originally posted on Himalayas