Vacancy expired!
Client is a leading, “global ten” provider of custom information technology, consulting and business process outsourcing services, and serves primarily Global 2000 companies. The firm employs more than 150,000 people and works with 805 active clients across banking & financial services, insurance, healthcare, life sciences, retail/consumer, manufacturing, energy, communications, and media. Since being spun-out as a public entity in 1998, the company has grown at an unprecedented rate, with anticipated revenue of >$8, making the fastest growing IT services company over the last 10 years, and certainly the most profitable now featuring a market capitalization greater than $18B. Client is a member of the NASDAQ-100 Index and the S&P 500 Index and part of “Fortune 500” list We have Openings for
Data Engineer @ Hartford, CTPLEASE REPLY ASAP WITH UPDATED RESUME AND BELOW DETAIL (REMOTE OPTION TILL COVID) SO#(8779-1)Data EngineerHartford, CT12+ MonthsPosition Type-C2CExp Level-7 Years Req Skills- Apache, Hadoop, Hive, Spark, Python/Scala, HDFS, Map Reducer, Google Cloud Platform Services, Google Cloud Platform Cloud, SQL, ANSI SQL, Unix Shell Scripting Job summary- Strong experience in Unix/Shell Scripting
- Strong experience in Hadoop Eco System (Hive, HDFS, Map Reducer etc.)
- Strong experience in Spark, Python/Scala is an added advantage.
- Strong knowledge/experience in Google Cloud Platform (Big Query, GCS, Pub/Sub, FHIR, DataProc, Dataflow, Cloud functions, Airflow/Composer etc.)
- Experience in Tidal & Service Now ticketing system
- Strong communication, analytical & problem-solving skills & SDLC process
- Good understanding of Hadoop eco system & Yarn architecture.
- Writing high performance Hive queries.
- Should be strong in Unix & SQL.
- Hands on experience in Spark with Java/Python/Scala.
- Hands on with loading and manipulating large data sets using Spark & Hive.
- Knowledge on debugging and troubleshooting Hadoop jobs.
Vacancy expired!