Data Solutions Engineer

Company Overview Conversant is a leader in personalized digital marketing. We are transforming digital marketing by empowering leading brands to engage in one-to-one conversations with real people. We can help virtually any brand leverage the power of personalization to improve marketing results. The Engineering/Technology team is home to data engineers who are building data platforms that operate at petabyte scale and that drive hundreds of millions of dollars in incremental revenue for marketers. Our data environments are closely integrated with data science algorithms , natural language processing routines , and data pipelines that process hundreds of billions of transactions daily. In this role , in addition to mastering the technology stack , it is also of vital importance to develop subject matter expertise on the enterprise data set.

As a data driven company , the way we capture , store and utilize the corporate asset of the proprietary data model is what drives our best in class understanding of the consumer and equates directly to the company bottom line.

Role Description We are looking for a Data Solutions Engineer to engage with the larger Conversant Engineering Data Warehousing teams.

This role will be hands on in code development to drive solutions to delivery by effectively engaging with team members across the globe. The person in this role will need to be able to work independently to meet required specifications of solution delivery where the output work product will be incorporated into production environments managing all data processing within Conversant. Expertise required in complex ETL , data processing , data aggregations. Responsibilities

You will design and code solutions on and off database for ensuring application access to enable data driven decision making for the company multi-faceted ad serving operations.

Working closely with Engineering resources across the globe to ensure enterprise data warehouse solutions and assets are actionable , accessible and evolving in lockstep with the needs of the ever-changing business model.

Should be able to develop test cases and validation methodology to demonstrate work product meets required needs

Ideal candidate can lead in the areas of: solution design , code development , quality assurance , data modeling , business intelligence , cross team communication , project management , and application maintenance.

Qualifications

Required qualifications

Bachelor

Degree in Computer Science or equivalent degree is required.

3+ years of business analysis experience around database marketing technologies and data management , and technical understanding in these areas.

Strong experience in Hadoop , HDFS , Spark is must.

Experience dealing with large volume data processing in terabytes scale is required

Strong experience in SQL

Experience with PostgreSQL or Greenplum or similar MPP

Experience with Python scripting

Experience with scheduling applications with complex interdependencies

Good experience in working with geographically and culturally diverse teams

Familiarity with complex data lake environments that span OLTP , MPP and Hadoop platforms

Understanding of Disaster Recovery and Business Continuity solutions

Excellent written and verbal communication skills.

Ability to handle complex products

Excellent Analytical and problem solving skills

Ability to diagnose and troubleshoot problems quickly

Required Skills Specifications, Solution Delivery, Test Cases, Methodology, Business Analysis, Database Marketing, Hadoop, HDFS, Spark, Data Processing, SQL, PostgreSQL, Python Scripting, Scheduling, Written and Verbal Communication Skills, Problem Solving Skills, Code Development, Able to work independently, Managing, ETL, Design, Access, Decision Making, Multi-Faceted Ad Serving Operations, Actionable, Business Model, Solution Design, Quality Assurance, Data Modeling, Business Intelligence, Communication, Project Management, Technical Understanding, OLTP, Hadoop Platforms, Disaster Recovery, Ability to handle