Principal/Lead Big Data Engineer - New York, NY - $190KOne of my clients in the Greater New York area is looking to hire a Principal/Lead Big Data Engineer! This candidate should have experience implementing data pipelines and have prior experience leading a team of engineers. They should also have hands on experience with the Hadoop Ecosystem, specifically Spark. If you are interested please read the requirements below and apply!Principal/Lead Big Data Engineer - New York, NY - $190KRequirements:Experience coding with Python, Scala, and JavaExperience implementing and optimizing data pipelinesHands on with Hadoop Ecosystem, specifically SparkExperience with AWS (EC2, S3, Redshift) is a plusBenefits:Commuter benefitsOpportunity for advancement and career growthRewarding company cultureFully paid benefitsIf you are interested in this position, please call me (Robert Cappucci) at 646-###-#### or simply send me your resume to my email address - [Click Here to Email Your Resum?]. Act fast, as this opportunity will most likely be off the market in the near future.I understand the need for discretion and would welcome the opportunity to speak to any Big Data and cloud analytics candidates that are considering a new career or job either now or in the future. Confidentiality is of the utmost importance. For more information on available BI jobs, as well as the Business Intelligence, Big data and cloud market, I can be contacted at 646-###-####. Please see for more information.AWS / Big Data / IoT / Hadoop / Hive / Pig / Spark / R / Scala / Pyspark / Azure / HD Insight / SQL Data Warehouse / Data Lake / Stream Analytics / Machine Learning / Spark / Redshift / EMR / EC2 / S3 / Presto / Kinesis / Analytics / New York / New Jersey / United States Associated topics: data administrator, data analytic, data center, data quality, data warehouse, data warehousing, etl, hbase, mongo database, mongo database administrator
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.