Data Engineer, IB Clean Room

As a Data Engineer at WebMD Health Corp., an Internet Brands Company, you will play a crucial role in designing, developing, and supporting multiple data engineering projects with heterogeneous data sources. Your responsibilities will include:

• Designing, developing, and supporting multiple data engineering projects with heterogeneous data sources such as files (structured & unstructured), traditional relational databases like Postgres DB, and non-traditional databases like Vertica DB (MPP)
• Analyzing business requirements, designing and implementing the required data model, and building ETL/ELT strategies
• Leading data architecture and engineering decision making/planning
• Translating complex technical subjects into terms that can be understood by both technical and non-technical audiences

Qualifications:

• 4 years of experience with database development (advanced SQL) on any traditional & non-traditional DBs
• 2 years on one specific ETL tool, such as Pentaho, Talend, Informatica, DataStage
• 1 year of experience in scheduler/orchestration Tools like Control-M, Autosys, Airflow, JAMS
• Basic Python scripting and troubleshooting skills
• Strong communication and documentation skills are absolutely required for this role as you will be working directly with both technical and non-technical teams
• Experience working closely with teams outside of IT (i.e. Business Intelligence, Finance, Marketing, Sales)
• Experience with setting up the infrastructure and architectural requirements

Desired:

• Working knowledge with big data databases such as Vertica, Snowflake, or Redshift
• Experience on the Hadoop ecosystem
• Programming or working with key data components such as HIVE, Spark, and Sqoop moving and processing terabyte level of data
• Experience on GCP/Big Query
• Experience in Apache Airflow or at least in-depth understanding of how Airflow works
• Web analytics or Business Intelligence a plus
• Understanding of Digital Marketing Transactional Data (Click Stream Data, Ad Interaction Data, Email Marketing Data)
• Understanding of Medical/Clinical data
• Exposure or understanding of scheduling tools such as Airflow
• Experience in Linux environment is preferred but not mandatory As a Data Engineer at WebMD Health Corp., an Internet Brands Company, you will play a crucial role in designing, developing, and supporting multiple data engineering projects with heterogeneous data sources. Your responsibilities will include:
• Designing, developing, and supporting multiple data engineering projects with heterogeneous data sources such as files (structured & unstructured), traditional relational databases like Postgres DB, and non-traditional databases like Vertica DB (MPP)
• Analyzing business requirements, designing and implementing the required data model, and building ETL/ELT strategies
• Leading data architecture and engineering decision making/planning
• Translating complex technical subjects into terms that can be understood by both technical and non-technical audiences

Qualifications:

• 4 years of experience with database development (advanced SQL) on any traditional & non-traditional DBs
• 2 years on one specific ETL tool, such as Pentaho, Talend, Informatica, DataStage
• 1 year of experience in scheduler/orchestration Tools like Control-M, Autosys, Airflow, JAMS
• Basic Python scripting and troubleshooting skills
• Strong communication and documentation skills are absolutely required for this role as you will be working directly with both technical and non-technical teams
• Experience working closely with teams outside of IT (i.e. Business Intelligence, Finance, Marketing, Sales)
• Experience with setting up the infrastructure and architectural requirements

Desired:

• Working knowledge with big data databases such as Vertica, Snowflake, or Redshift
• Experience on the Hadoop ecosystem
• Programming or working with key data components such as HIVE, Spark, and Sqoop moving and processing terabyte level of data
• Experience on GCP/Big Query
• Experience in Apache Airflow or at least in-depth understanding of how Airflow works
• Web analytics or Business Intelligence a plus
• Understanding of Digital Marketing Transactional Data (Click Stream Data, Ad Interaction Data, Email Marketing Data)
• Understanding of Medical/Clinical data
• Exposure or understanding of scheduling tools such as Airflow
• Experience in Linux environment is preferred but not mandatory