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Data Engineer

Advanced Tech Placement

This is a Full-time position in Atlanta, GA posted March 24, 2021.

nn Description: nn nnWe are looking for savvy Data Engineers to join our growing team of experts.

This role is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

The ideal candidate is an experienced data engineer and data wrangler who enjoys optimizing data systems and building them from the ground up.

The Data Engineer will support our software developers, architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

The ideal candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Strong candidates will thrive in the collaborative environment while also being strong individual contributors with a proactive mindset.nn nn n nn nn Responsibilities for Data Engineer: nn Create and maintain optimal data pipeline architecture.

Assemble large, complex data sets that meet functional/non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product, Development, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Keep data separate and secure across boundaries through different regions.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Work with data and analytics experts to strive for greater functionality in our data systems.

nn n nn nn Qualifications: nn Advanced working SQL knowledge and experience working with relational and non-relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Experience building and optimizing data pipelines, architectures and data sets.

Strong analytic skills related to working with unstructured datasets.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

A successful history of manipulating, processing and extracting value from large disconnected datasets.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Working knowledge of message queuing, stream processing, and highly scalable data stores.

Strong communication project management and organizational skills.

Experience supporting and working with cross-functional teams in a dynamic environment.

We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has obtained a Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

They should also have experience using the following software/tools: Experience with data tools: Spark/Scala.

Experience with relational SQL and NoSQL databases, including Snowflake and MariaDB AX.

Experience with AWS cloud services: EC2, EMR, RDS and Redshift Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.


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