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COFENSE logo
COFENSE

We see and stop the email threats that your Secure Email Gateway misses.

Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 201-500Since 2011H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

64 days ago

Salary

0

Seniority

Senior

Job Description

Data Engineer

COFENSE

• Responsible for integrating enterprise wide data from Cofense’s Cyber Security based Applications, Micro-services and other disparate data sources. • Work with Architects & Cloud Systems Engineers in designing Data Platform and Architecture • Experience data modeling and building data pipelines for multi-product and/or multi-department organizations • Develop Data Pipelines on Cloud Technologies like Azure/AWS with well-defined tool frameworks • Develop ETL code to stream data from disparate (structured and semi-structured) SaaS product data stores to Data Lake/Data Warehouse using Python, Azure/AWS Data Lake services • Ability to write complex SQL scripts and automate them using Python • Develop test cases and unit tests for key implementations of Data Platform by adhering to software engineering best practices and standards • Secure data end-to-end by complying data privacy rules while developing processes to move data across Applications/Data Sources and Data Lake/Data Warehouse, as well as while delivering data through SQL clients and BI tools. • Experience building adhoc reporting APIs and service layer on top of underlying OLTP and OLAP databases • Help integrate Data Platform with BI tools like Power BI, Tableau, Splunk etc. • Ability to develop and interpret Entity Relationship Diagrams (ERD) across data sets in relational database systems as well as non-relational Data stores • Able to do Data Mining and Identify trends, patterns, anomalies in complex data sets across multiple data sources/systems and present results without ambiguity. • Develop data transformations to generate Facts, Summaries, Key metrics by applying business rulesets and aggregations using Python, SQL and other transformation tools • Able to review current processes related to data ingestion, transformation and statistical analysis and re-engineer them • Collaborate with business users across Cofense’s departments in defining requirements, prioritize project work and deliver them timely.

Job Requirements

  • Bachelor's degree in Computer Science or Math, Data Analytics, Data Sciences, BI or demonstrated industry experience preferred
  • Over 5 years of proven experience in data architecture, data modelling, and lifecycle management
  • Hands-on experience with relational and cloud databases, including Azure SQL Database, Microsoft SQL Server, Amazon Aurora, and Amazon Redshift
  • Strong background in developing Python and data technologies
  • Practical experience designing and developing ETL data pipelines and applications using SQL and Python
  • Strong expertise in writing complex SQL queries for data transformation and automating processes using Python
  • Experience building and consuming RESTful APIs using Python libraries
  • Proficient in integrating data platforms with BI tools such as Power BI and Splunk, including dashboard and report development
  • Solid experience working with Unix/Linux environments, including SSH tunneling and writing/interpreting Bash scripts
  • Advanced proficiency in Python 3, with hands-on experience using NumPy, SciPy, Scikit-learn, and Pandas
  • Experience leveraging APIs to extract data and load it into databases using Python.

Benefits

  • Equal employment opportunity
  • Not discriminating against employees or applicants for employment on any legally recognized basis

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