Title: Data Engineer
Location: Seattle, WA
Duration: 12+ month
H1B candidates only
#1 priority skillset is Informatica
#2 skillset is Big Data
Lead experience and 10+ years of DW/ETL experience.
The Data Solutions Analytics team is responsible for an Enterprise Netezza Data Warehouse, multiple ODS, HDFS Cluster, and all ETL work in between these environments. We are seeking a highly moticated, experienced engineer with a background in open source, big data solutions. The ideal candidate will have 7-10 years of development experience using SQL, ETL, Java, Python, and PHP. Their experience will include the development of reliable, highly scalable web solutions and big data/data warehousing services.
The candidate must develop specifications in data modeling, setting team standards, data architecture, extraction/transform/loading. We are seeking a highly motivated, experienced engineer with a background in open source, big data solutions that excels in teams, is an excellent communicator, and has an insatiable desire to help the customer. The ideal candidate will have 7-10 years in development using SQL/Hive/Pig/MR, ETL, Java, Python and PHP.
The role of this individual will be to design and develop solutions that allow for the ingestion of data into a variety of different stores, and then transform these extracts to various business units to solve their data needs. This role will have an active hand in optimizing these data feeds and working with very large petabyte data sets. The individual will utilize Hive, Pig, MapReduce jobs, Query Tool and ETL tools to manage these data solutions. Working with internal customers, they will help develop successful proof-of-concepts, analytics and experimentation with the business units, providing them technical solutions to solve their particular business needs.
Experience with open source platforms is highly desirable, including technologies like Hadoop, Cassandra, Solr, Mongo and other large scale platforms. Experience using analytical tools like Pig and Hive and in the development of Map Reduce jobs on Hadoop is highly preferred.
The candidate should be passionate about building the right solutions; putting the right amount of effort in the agile environment around tools, testing, and design. This person will challenge those around them, collaborating on solutions and helping build a high performing team.Kamran Yousaf
Inabia Software & Consulting
Mobile:(425) 247 0662