דרושים » תוכנה » Data Infrastructure Engineer

Requirements:
You have 1-2 years experience in a data position
You are experienced in writing complex SQL queries
You are experienced in developing complex data pipelines
You are experienced in developing Python code
Youre an independent, self-learner who is passionate about data, understands business processes and can translate business needs into data models
You're detail-oriented with a track record of success in quantitative fields
Experience with Airflow, Great Expectations, Spark, Google or AWS Cloud Development Data Solutions would be an advantage.

Requirements:
B.A / B.Sc degree in a highly quantitative field - a must.
4-5 years hands on experience as a Data Engineer querying data warehouses (SQL), structuring data processes using quantitative techniques - a must.
Fast learner with high attention to details, and proven ability to multitask on several projects at a time. - a must.
Practical experience in Python and Infrastructure in data context. a must.
High analytical skills and the ability to deep dive into details. a must.
Google Cloud Data tools (BigQuery, Cloud Composer/Airflow) - a must.
AutoML, DataFlow, Neo4J - a plus.
Practical experience with distributed data processing like Spark - a plus.
Experienced in analyzing data, and gaining insights - a plus.
Experience working for a data driven company on a large scale - a plus.

Requirements:
At least 4 years of proven experience as a BI Engineer, Data Engineer, or Data Analyst.
In-depth knowledge of data modeling principles and practices.
Proficiency in writing complex SQL queries and optimizing database performance.
Strong analytical and problem-solving skills.
Experience with Snowflake, including data warehousing, optimization, and query performance tuning.
Excellent communication and collaboration abilities, with a demonstrated ability to work in a dynamic and fast-changing environment.
Preferred Skills:

Hands-on experience with dbt and version control systems.

Requirements:
What You Need to Have:

Academic :
BA or BsC in Computer Science, or Software Engineering, or similar degree in the field.

Technical & Professional Experience
At least 4+ years of experience as a backend developer. Significant time working at startups or in a startup-like environment advantage.
Fluent in Ruby On Rails or NodeJS (for Backend development).
Experience with the other mentioned language and/or Python strong advantage.
Strong data orientation - managing and understanding data pipelines, data storage & management, schema design, etc.
Highly experienced working with SQL (PostgreSQL advantage).
Some acquaintance with MongoDB, Redis, Elasticsearch advantage.
Regularly working using standard collaborative work practices (i.e. Git, etc)
Good grasp of software engineering and coding best-practices.
Must be able to deliver code at highest quality.
At least basic familiarity with AWS Cloud Infrastructures and working with AWS management console.
Some knowledge and experience with DevOps & Infrastructure related worlds strong advantage. Specifically, with any of the following: Docker, Kubernetes, Helm, Terraform, GitOps, ArgoCD, ArgoWorkflows, Jenkins.
Developing or maintaining algorithms implementations advantage.
Familiar with async work distributions, workers & jobs queues, consumer-producer concept advantage.

Languages:
Excellent verbal and written communication skills in English and Hebrew.

What Would Make You Stand Out:
Fast learner, eager to learn and expand knowledge horizontally, being a jack of many trades.
Independent, self-sufficient, and self-reliant personality, being able to tackle big tasks with little spec and a lot of uncertainty and see them end to end.
Can fill in gaps in knowledge and requirements with only little help (as opposed to being spoon-fed with all the nitty-gritty details).
Must be comfortable working in dynamic agile environment (not referring to agile methodologies such as scrum, lean, etc, but more like no defined methodology work environment), where tasks and focus can change frequently.
Display exceptional organizational and time/deadline management skills and ability to prioritize among various deliverables.

Requirements:
3+ years programming experience in Java/C#/Python/C++/JS
Production systems understanding (system architecture of web products)
Fearlessness to dive into what you dont know
Passion for solving problems, and working very close to the business
BSc in computer science or equivalent
Experience with SQL and No-SQL advantage
Willing to work intensively to gain fast results in an unknown field
Product driven
A pragmatic attitude toward decision-making (avoiding analysis paralysis)
Strong analytical skills
It would be great if you also have:
Experience developing large scale distributed systems
Experienced with Kafka/docker/k8s
Deep understanding with web systems (API / REST / NGINX)
Experience with SQL and NoSQL (mysql / Vertica / Cassandra)
Experience in Big Data tools (BQ / zeppelin etc)
Knowledge in algorithms, data-mining and machine learning
React /Web/JS experience.

Requirements:
7+ years of experience in building backend software using a high-level language such as Python
Experience in building cloud-native products
Experience in SQL and ORM frameworks, such as SQLAlchemy.
Experience building distributed systems using modern frameworks, such as RabbitMQ, Kafka, Amazon SQS, and Celery
Experience in writing RESTful APIs
Experience in async programming (e.g. asyncio)
Knowledge of cloud internals (AWS, Azure, GCP)
Knowledge in the cybersecurity domain - advantage
B.Sc. in Computer Science or related field, or relevant military experience - advantage
Please add a link to your GitHub profile (optional)

Requirements:
BSc in Computer Science or related degree.
2+ years of experience in leading an engineering team.
6+ years of data engineering experience as a developer, tech lead, or architect.
4+ years of experience in Java.
Strong system architecture knowledge.
Experience in building high-volume and scalable applications.
Proficiency with cluster technologies, distributed systems, or streaming applications.
Familiarity with SQL and NoSQL databases.
Experience with pipelines/ Spark/ Kafka.
Experience with Vertica/ Redis/ Elasticsearch/ Hadoop.
Familiarity with Scrum methodologies.
AWS Service Experience.
Working knowledge of Linux, Docker, Kubernetes, CI/CD, and rollout plans.
Excellent spoken and written English communication skills.
Proactive team player with a desire to impact our engineering team, product, and customers.

Requirements:
SQL expertise, working with various databases (relational and NoSQL), data warehouses, and 3rd party data sources and AWS cloud services.
4+ Years of experience as a Data Engineer / Backend Developer.
4+ Years of experience with a programming language (Python, Java, NodeJS).
Experience with designing Databases and Data pipelines and complex architecture.
English ( spoken & written).
Advantages for:
Knowledge of advanced Bigdata topics and distributed computing.
Knowledge of K8s, Docker, Spark, Elastic, and Airflow.
Familiarity with data warehousing concepts and systems.

Requirements:
Master's degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, or any other quantitative field.
5+ years of practical data experience in big data businesses.
2+ years of experience managing a multidisciplinary data department including Analytics, Data Science and Data engineering teams.
2+ years of experience in a B2C
Strong understanding of ML, statistics and hands-on experience with SQL, Python, and data visualization tools.
Excellent analytical skills with experience in querying large, complex data sets.
Strong familiarity with cloud based DWH like BigQuery / Snowflake / Redshift - an advantage.
2+ years of experience in managing team leads - an advantage.
Self-learner, multi-tasker, able to work independently, highly organized, proactive, and a problem-solver.

Requirements:
5+ years of backend development in Python.
Has experience developing ML Ops processes or supporting ML models in production.
Experienced with big-data, high-scale environments.
Familiar with cloud vendors concepts and tools, preferably working on top of one in prior positions.
Team player with good verbal and written communication skills.
Passionate about technology, fast learner and eager to lead and take ownership of big projects end-to-end.
Prior experience working with GCP - advantage.
Golang knowledge and experience - advantage.
Experience with Vertex AI and Kubeflow pipelines - advantage.