About this role
Responsibilities and Duties
Participate in technical planning & requirements gathering phases including architectural design, coding, testing, troubleshooting, and documenting big data-oriented software applications.Responsible for the ingestion, maintenance, improvement, cleaning, and manipulation of data in the business’s operational and analytics databases, and troubleshoots any existent issues.Implementation, troubleshooting, and optimization distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Storm, Kafka, etc. in both an on premise and cloud deployment model to solve large scale processing problemsDesign, enhance and implement ETL/data ingestion platform on the cloud.Strong Data Warehousing skills, including: Data clean-up, ETL, ELT and handling scalability issues for enterprise level data warehouseCapable of investigating, familiarizing and mastering new data sets quicklyStrong troubleshooting and problem-solving skills in large data environmentExperience with building data platform on cloud (AWS or Azure)Experience in using Python, Java or any other language to solving data problemsExperience in implementing SDLC best practices and Agile methods. Required Skills:
Data architecture/ Big Data/ ETL environmentExperience with ETL design using tools Informatica, Talend, Oracle Data Integrator (ODI), Dell Boomi or equivalentBig Data & Analytics solutions Hadoop, Pig, Hive, Spark, Spark SQL Storm, AWS (EMR, Redshift, S3, etc.)/Azure (HDInsight, Data Lake Design)Building and managing hosted big data architecture, toolkit familiarity in: Hadoop with Oozy, Sqoop, Pig, Hive, HBase, Avro, Parquet, Spark, NiFiFoundational data management concepts - RDM and MDMExperience in working with JIRA/Git/Bitbucket/JUNIT and other code management toolsetsStrong hands-on knowledge of/using solutioning languages like: Java, Scala, Python - any one is fineHealthcare Domain knowledgeRequired Experience, Skills and Qualifications
Qualifications:
Bachelor’s Degree with a minimum of 6 to 9 + year’s relevant experience or equivalent.Extensive experience in data architecture/Big Data/ ETL environment. All your information will be kept confidential according to EEO guidelines.