WHAT YOU WILL DO:
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● Create and maintain optimal data pipeline architecture.
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● Assemble large, complex data sets that meet functional / non-functional business requirements.
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● Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
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● Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide
variety of data sources using Spark,Hadoop and AWS 'big data' technologies.(EC2, EMR, S3, Athena).
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● Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition,
operational efficiency and other key business performance metrics.
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● Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
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● Keep our data separated and secure across national boundaries through multiple data centers and AWS
regions.
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● Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
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● Work with data and analytics experts to strive for greater functionality in our data systems.
REQUIRED SKILLS & QUALIFICATIONS:
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● 5+ years of experience in a Data Engineer role.
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● Advanced working SQL knowledge and experience working with relational databases, query authoring
(SQL) as well as working familiarity with a variety of databases.
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● Experience building and optimizing 'big data' data pipelines, architectures and data sets.
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● Experience performing root cause analysis on internal and external data and processes to answer
specific business questions and identify opportunities for improvement.
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● Strong analytic skills related to working with unstructured datasets.
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● Build processes supporting data transformation, data structures, metadata, dependency and workload
management.
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● A successful history of manipulating, processing and extracting value from large disconnected datasets.
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● Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
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● Strong project management and organizational skills.
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● Experience supporting and working with cross-functional teams in a dynamic environment
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● Experience with big data tools: Hadoop, Spark, Pig, Vetica, etc.
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● Experience with AWS cloud services: EC2, EMR, S3, Athena
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● Experience with Linux
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● Experience with object-oriented/object function scripting languages: Python, Java, Shell, Scala, etc.
PREFERRED SKILLS & QUALIFICATIONS:
● Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

About Astegic
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JOB RESPONSIBILITIES:
-
Working closely with primary stakeholders to gather requirements and plan technical solutions.
-
Development and testing of front-end and back-end components, and writing maintainable codebase.
-
DevOps ie, enabling automation of sharing and building code.
-
Documenting and enabling organizational structure and various channels of communication.
-
Communicating thorough requirements and issues with the software system.
CANDIDATES MUST HAVE:
-
Strong programming fundamentals and demonstrable experience through work or projects in any programming language
-
An interest in working in a startup environment
-
At least one year of work experience in the industry or on a project with multiple members
-
A good understanding of web development fundamentals including JSON, REST, HTTP, client/ server, web servers, proxies, reverse proxies, etc
-
A good understanding of Javascript. Alternatively, experience with other languages/ frameworks that would enable quick learning of Javascript will suffice
-
Strong and professional communication skills

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Using Redisson (a particular java client library that can be easily configured with Spring Boot) would be a strong plus
Knowledge of event based messaging systems (Amazon SNS, Amazon MQ, or Kafka (in AWS) Data Cleaning tools and techniques in CSV and Excel
Strong Knowledge of Spring Boot Dependency Injection and Configuration
Experience with APIs for popular e-commerce platforms (Magento, Shopify, Big Commerce, etc.)
SDLC (Software Development Lifecycle) Tools in the context of AWS. (Tools classified under DevOps)
Experience with managing AWS EC2 VM instances and using AWS managed Services (like S3, MySQL, VPC/Networking, Lambda, etc)
Performance Analysis Tools (Code Profiling) on Java VM and particularly Spring Boot
Experience in the development of Workflow or Business Process ApplicationsNice to Have:
Experience with Cassandra or MongoDB with Spring Boot
Horizontal Scaling with Spring Boot (considerations running multiple instances of Spring Boot instances)
Experience with placing Spring Boot applications in Docker/Kubernetes container ecosystems (especially in AWS)
Search technologies such as Lucene/Solr








