Database Engineer

  • location: New York, NY
  • type: Permanent
  • salary: $120,000 - $130,000 per year
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job description

Database Engineer

job summary:
Seeking a Database Developer/Engineer with a diverse background in data integration to join the Data Management team. Some data is small, some data is very large (100 billion+), some data is structured, some data is not. Our data comes in all kinds of sizes and shapes. Oracle, MSSQL, Postgres, Vertica, MongoDB, Couchbase, HDFS/HIVE to name a few.

location: New York, New York
job type: Permanent
salary: $120,000 - 130,000 per year
work hours: 9 to 5
education: Bachelors

  • Design, develop and support multiple data projects in traditional relational databases such as Oracle, MSSQL and Postgres as well as non-traditional database such as Vertica and MongoDB
  • Analyze business requirements, design and implement required data model and ETL processes on your own
  • Participate in data architecture and engineering decision making/planning
  • Create an enterprise level data inventory regardless of source, format, structure
  • Connect and integrate individual datasets for better analysis and transparency between the data
  • Translate complex technical subjects into terms that can be understood by both technical and non-technical audiences

  • 6+ years of experience with traditional database development on Oracle/MSSQL/Postgres
  • 2+ years of experience with databases other than Oracle/MSSQL/Postgres, such as Vertica, MongoDB or HDFS/HIVE
  • Programming skills in either Java or Python
  • Understanding of ad tech stack and data (Ad Servers, Ad Exchanges, Programmatic, DMP, etc)
  • Strong communication and documentation skill is absolutely required for this role as you will be working directly with both IT and non-technical groups
  • Self-motivated, willingness to learn new technologies and business and willing to take initiative beyond basic responsibilities
  • Requires minimal or no direct supervision
skills: Desired:

  • Knowledge of scripting languages such as Perl or Python
  • Experience with the ETL tools such as Microsoft SSIS, Talend or Pentaho
  • Experience with the reporting platforms such as Tableau or Cognos
  • Experience with statistical computing environment such as R or SAP
  • Experience with setting up the infrastructure and architectural requirements
  • Database administration experience a plus, but not required
  • Web analytics or Business Intelligence a plus, but not required

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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