Curated passive candidates represented by IT Pros.
email@example.com | (484) 636-9233
Big Data Product Manager who collaborates with data scientists on external data strategy and management. Empower product teams with data-driven insight, manage data procurement strategy, and oversee the integration of 3rd-party data into an IOT cloudIoTatform for new product development and enhancements. Served as technical POC for 50+ cross-company use cases involving the integration of 11 datasets via API, flat files, Oracle, and Amazon S3 sites. Managed reporting and progress updates as project owner during daily Scrum meetings.
Skills: SQL Developer & Traditional RDBMS, Visual Studio, Hortonworks DataFlow: NiFi, Kafka, Storm, Druid, Apache Hadoop Big Data Stack: Ambari, Sqoop, HDFS, HBase, Hive/HiveQL, Pig, Azure & AWS Cloud Platforms/Tools, including Azure HDInsight, Informatica PowerCenter, Developer, IDQ, & Analyst, Intermediate Python
Base Salary Accepted: $100,000
Location Requirements: Bethlehem, PA
Recruiter Notes: Built an industrial IoT platform… Hadoop… building out 3rd party data acquisitions… find weather data, get it from the supplier, get sample data, bring it in, put it through data factory, start to finish… building out big data capabilities… would be looking for more stability… there’s a lot of shifting and reorganization so would like stability… currently commuting 60 miles one way… willing to grow…wants to learn… more of a data manager with data engineer skills… has some data architecture and data modeling skills, and dipped hands into a lot of things…Lives in East Bethlehem…Would be looking for about $90k to make a move…Background is mostly SQL but working in Hadoop he’s best at Hive…also worked with some Spark, Pig, Scoop… timing and data flows… Python is basic, just getting started on that. That’s the only real programming language he’s got…Lots of work with NiFi with Hortonworks… HDI…No R, no Scala… their data science team uses that.
- Expert with SQL
- Mostly SQL Server, and working with HiveQL
- Working with terabytes of data, multiple terabytes
- Hadoop, but no Google BigQuery, open to using any tools
- Spark, not an expert
- Kafka, no Storm
- data pipeline tools – working with NiFi (NO to these three: Azkaban, Luigi, Airflow, etc)
- dealing with scalability of data, that’s what they’re going for
- BI Tools – Tableau, a little bit, no Looker
- AWS – has used S3 mostly
- Google Cloud – no
- Agile – yes
Education: BA, English & Theatre
Candidate ID#: 286140598672397/815573984626677
Reuest Resume: firstname.lastname@example.org | (484) 636-9233
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