AWS Data Engineer
About All
Cloud
All
Cloud is a global professional services company providing organizations with tools for cloud enablement and transformation. Through a unique combination of expertise and agility, All
Cloud accelerates cloud innovation and helps organizations fully unlock the value received from cloud technology.
As an AWS Premier Consulting Partner and a Salesforce Platinum Partner, All
Cloud helps clients connect their front office and back office by building a new operating model that allows them to harness the benefits of both Salesforce and AWS. All
Cloud is supported by a robust ecosystem of technology partners, proven methodologies, and
- documented best practices. Thereby, elevating customers by achieving operational excellence on the cloud, within a secure environment, at every milestone of the journey to becoming
- first.
With over 12 years of experience and a portfolio with thousands of successful cloud deployments, All
Cloud serves clients across the globe. All
Cloud has offices in Israel, Europe, and North America.
Job Summary
All
Cloud is looking for a savvy AWS Data Engineer to join our growing team of data experts. Responsible for migrating to the cloud and optimizing our customers’ databases and data flows, you'll enrich our operational and functional data flows that support the AI/ML algorithms. Fearless when it comes to data in any form or scale, and experienced with cloud services for ingesting, streaming, storing, and manipulating data, you'll play a pivotal role in supporting new system designs and migrating existing ones. Working closely with solutions architects, project managers, and data scientists, your
- directed approach, quick learning ability, and comfort in supporting the data needs of multiple teams, systems, and products are key. You'll find excitement in optimizing or redesigning our customers’ data architecture to support their next generation of products, data initiatives, and machine learning integration.
Summary of Key Responsibilities
● Keep our customers’ data separated and secure to meet compliance and regulations requirements.
● Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud migration tools and ‘big data’ technologies.
● Optimize various RDBMS engines in the cloud and solve customers' security, performance and operation problems.
● Design, Build and Operate large, complex data lakes that meet functional /
- functional business requirements.
● Optimize various data types ingestion, storage, processing and retrieval from near
- time events, and Io
T, to unstructured data as images, audio, video and documents, and in between.
● Work with customers; and internal stakeholders including the Executive, Product, Data, Software Development and Design teams to assist with
- related technical issues and support their data infrastructure and business needs.
● 3+ years of experience in a Data Engineer role in a
- native eco system.
● Bachelor (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems or another quantitative field.
● Relational SQL and No
SQL databases, such as My
SQL or Postgres and Dynamo
DB or Cassandra.
● Hands-on Experience with at least 1 Data Warehouse (Snowflake, Synapse, Big
Query, ADW, Teradata, Exadata, Netezza, SQL Server, Oracle)
● Functional and scripting languages: Python, Java, Scala, etc.
● Practical experience with AWS Cloud Services (S3, Glue, Redshift)
● Experience utilizing SCM tools such as Git
Hub/Git
Lab/Bit
Bucket
● Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ stores.
● Experience supporting and working with external customers in a dynamic environment.
● Articulate with great communication and presentation skills
● Team player that can train as well as learn from others.
● Ability to design tables in a data warehouse that houses historical data.
● Ability to conduct initial and incremental loads.
Nice to Have Skills:
● One or more AWS Certification(s) (Cloud Practitioner, SA Associate, Data Analytics Specialty, etc. )
● Hands-on BI basic dashboard creation
● Hands-on Snowflake Experience
● Git
Flow Branch Methodology Experience
● Data Vault 2. 0 Table Structure and Load Patterns
● Experience Hashing Data Attributes using MD5 or
- 256 in accordance with Data Vault 2. 0 Requirements
● Py
Spark and Spark
QL Experience
● Experience building and optimizing ‘big data’ pipelines, architectures and data sets.
● Advantage: Experience with various ML models for classification, scoring and more.
● Advantage: Experience with Deep Learning Neural Networks (Convolution, NLP etc. )
● Technical Documentation of Solutions
Why work for us?
Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. We offer competitive salaries, bonus incentives, benefits, flexible hours, and mentoring. Apply now to become part of the team.
All
Cloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.
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