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SOFTWARE DATA ENGINEER, Python

Company: Cofense
Location: Leesburg
Posted on: November 28, 2019

Job Description:

Cofense is the leader in Intelligent Phishing Defense and we lead the market in cyber security products.
Company Culture :
Purpose of Position: Cofense Business Data Analytics group is looking for a passionate, results-oriented Data Engineer at the mid-senior level to collaborate in defining Architecture, building objects and ETL frameworks for Cofense's Data Lake Platform. Data Engineer should help Integrate enterprise wide data from multiple disparate Applications/Data Sources to deliver on Business Intelligence (BI) / Analytics / Reporting requirements and needs of Corporate Business groups and Customers.
Reporting to the Data Architect, ideal candidate preferably has worked in developing secured data systems for Cybersecurity Industry identifying business/customer data, insights through Data Engineering, Data Mining, Transformations, Data Science, Machine Learning utilizing Cloud Data Technology platforms, SQL, programming languages like Python, R etc. Help integrate Data Systems with BI services such as Power BI, Tableau to deliver intelligence and actionable information. Essential Duties/Responsibilities-- Work with Architects, Data Engineers & Systems Engineers in developing and maintaining processes. Help define requirements if needed for Cofense Data platform-- Ability to develop and interpret Entity Relationship Diagrams (ERD) across data sets in relational database systems as well as non-relational Data stores-- Develop Data Pipelines on Cloud Technologies like Azure/AWS according to the framework and tools provided-- Develop and maintain processes in Python to Extract, Transform & Load (ETL) Data from disparate (structured and semi-structured) product data stores to Data Lake/Data Warehouse-- Maintain code structure in GIT and like source control systems based on the code management strategy defined by core data team-- Create test cases and develop unit tests accordingly for key business rules and manage those code structures according to defined code management strategy-- Adhere to software engineering best practices/standards, and help in introducing data technology best practices into the team-- Help introduce principles of CD/CI for production deployment and automate code deployment process using GIT-- Secure Data end-to-end by complying Data privacy rules while developing processes to move data across various data systems and Data Warehouse, as well as while delivering data thru various access clients and BI tools.-- Help integrate Data Systems with various presentation tools like Power BI, Tableau, Splunk etc. and develop dashboards/reports on those tools-- Collaborate with business users across Cofense's departments in defining requirements, prioritize project work and deliver them timely-- Mine the Data and Identify trends or patterns in complex data sets across multiple data sources/systems and present results without ambiguity-- Develop data transformations to generate Facts and Summaries by application of business rulesets and aggregations using Python, SQL and other transformation tools-- Find data anomalies and process improvements in data ingestion, transformation and statistical data analysis-- Other duties as assigned Knowledge, Skills and Abilities Required
-- Expertise Python programming language (preferably Python 3)-- Have expertise in SQL, skills for data transformations, statistical analysis, and troubleshooting across more than one Database Platforms (MySQL, PostgreSQL, Redshift, Azure SQL Warehouse etc.)-- Well versed in various Database Concepts like Relational, Normalization/De-normalization, Columnar and database Architecture of one or more databases like Oracle, MySQL, Postgres, Redshift, Azure SQL Warehouse etc.-- Experience on various flavors of Unix/Linux platforms, working knowledge of Networking is required with ability to write and interpret bash code-- Enthusiasm to work with lot of data from disparate data sources and Databases-- Knowledge of data modeling, designing enterprise data lake, data warehouses and database optimization, experience is a plus-- Designing and implementing of Machine Learning (AI/ML) Models for Predictive Analytics is a huge plus-- Dimensional Modeling, Enterprise Data Warehouse with Data Lake know-how is a plus-- Data management on NoSQL DBs like DynamoDb, Mongo, and know-how of Big Data tools Hadoop, Spark, Kafka/Kinesis or other messaging tools is huge plus-- Analytical skills, with good at: SQL queries, finding anomalies in data trends/outliers, and presenting findings to the Business Users or Management-- Great collaboration skills, self-motivated and team player-- Uses knowledge associated with educational qualifications and professional certifications or equivalent experience-- Relies on experience and sound judgment to plan and accomplish goals-- Sees big picture impact and relationships among and across work units-- Observes quality and standards in all aspects of worko Able to articulate complex information or data points with teams and individualso Makes decisions within well-defined procedures and make recommendations on matters of data analysis if necessaryo Accepts guidance from senior leadership and management team in certain circumstances.-- Demonstrates good customer service skills to both internal and external customers-- Identifies complex technical problems and tries to resolve with minimal help Education and/or Experience:-- Bachelor's degree in Computer Science or Math, Data Analytics/Sciences, Business Intelligence or demonstrated industry experience preferred-- 5+ years of experience as Data Engineer or equivalent experience in Data Technologies-- Experience with Open Source Tools and Azure, AWS Cloud Technologies-- Hands-on experience in Developing ETL pipelines, Applications (Using SQL, Python, R)-- Experience integrating Data Systems with BI Tools (Splunk, Power BI etc.) and developing reports/dashboards - Disclaimer-The above statements are neither intended to be an all-inclusive list of the duties and responsibilities of the job described, nor are they intended to be a listing of all of the skills and abilities required to do the job. Rather, they are intended only to describe the general nature of the job. This job description is not a contract of employment, either express or implied. Employment with Cofense will be voluntarily entered into and your employment is considered at will. Cofense reserves the right to alter the job description at any time without notice. Cofense is committed to equal employment opportunity. We will not discriminate against employees or applicants for employment on any legally recognized basis [protected class] including, but not limited to: veteran status, uniform service member status, race, color, religion, sex (including pregnancy), gender identity, sexual orientation, national origin, age, physical or mental disability, marital status, genetic information or any other status or characteristic protected by applicable national, federal, state or local laws and ordinances. We adhere to these commitments in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, and discipline.

Keywords: Cofense, Leesburg , SOFTWARE DATA ENGINEER, Python, IT / Software / Systems , Leesburg, Virginia

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