Job title: Google Cloud Big Data Engineer
Location: Morristown, NJ
Start date: ASAP
Duration: Long Term
Qualified candidates should demonstrate:
• Solid hands-on experience with the GCP Big Data Stack
• GCP, BigQuery, DataProc, Cloud SQL, Cloud Storage, PubSub
• Solid hands-on experience with the Hadoop Ecosystem
• Spark, Hive, HDFS, HBase, Cassandra, Kafka, Sqoop, Flume
• Strong scripting proficiency with Python
• Production experience designing and developing Database Schema (SQL & NoSQL)
• Production experience designing and developing Data Warehousing
• Production experience designing, developing, scaling, and optimizing Data Pipelines (ETL, Batch, Stream)
• Understanding of Machine Learning models and algorithms is a huge asset
General Requirements
· Good domain understanding of Pharma industry especially Commercial and Operations
· Understanding of current trends of healthcare and life sciences infrastructure, (including databases, enterprise integration buses, protocols, APIs and formats), security, networking and cloud-based delivery models.
· Work closely with Business Partners to design Enterprise Data Warehouse
· Build the strategy, direction and roadmap for data warehousing, business intelligence and analytics for the client
· Rapidly architect, design, prototype, and implement solutions to tackle traditional BI, Big Data needs for clients
· Work in subject matter experts to understand client needs and ingest variety of data sources such as social media, internal/external documents, financial data, and operational data
· Research, experiment, and utilize leading Cloud Services, Traditional BI, Big Data methodologies
· Translate client business problems into technical approaches that yield actionable results across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports, and presentations
· Provide technical design leadership with the responsibility to ensure the efficient use of resources, the selection of appropriate technology and use of appropriate design methodologies
· Experience on some horizontally scalable file systems (or databases) like S3, HDFS. Experience in technology areas such as Big data appliances, in-memory, NoSQL DBs (such as HBase, MongoDB, Cassandra, Redis).
· Knowledge of MPP, Graph databases for networks analysis.
· Knowledge of Open Source tools and services - such as python, apache Spark, apache Airflow, apache Nifi, apache Flink etc
· Experience on traditional databases (RDBMS) like MySQL, DB2, PostgreSQL, MariaDB. Oracle.
· Additional focus areas would-be real-time analytics (such as Kafka, Spark Streaming, Flink), in-memory processing (Spark), Next Best Action, and Internet of Things (IoT).
· Knowledge of MPP, Graph and NOSQL databases
· Knowledge of Open Source tools and services - such as python, apache spark, apache Airflow
· Knowledge of designing security architectures on AWS and Hortonworks
· Good to have knowledge on the teamwork tools and product management tools like Git and Jira.
· Good to have knowledge of container technologies like Mesos, Docker and Kubernettes.
· Key responsibilities in this role would be Data Lake Implementation, BI system migration / Transformation, Tools / Technology comparison and selection, etc.
· Be able to work with globally distributed teams with flexible working hours around the clock.
Qualifications
· Ability to think strategically and translate plans into phased actions in a fast paced, high pressure environment
· Strong client facing presentation skills necessary to communicate with, and persuade, a wide range of audiences
· Have good working knowledge of AWS Cloud Services, Hortonworks Data Platform and Hortonworks Data Flow and Opensource Big Data Ecosystem components.
· Bachelor's degree in Computer Science, a related field or equivalent work experience required
· At least 8 years of IT experience with several years in hands on Data Architecture, Modeling and Strategy; with majority of it earned in building enterprise level platforms.
· At least 2 years in developing big data solutions and architecture.
· Experience in engaging with customer’s BI organization to drive BI/machine-learning/AI Program / projects implementation
· Experience in analysis, design, development, deployment & documentation of BI/AI solutions
· Be well conversed with either the consumer-packaged goods, retail or consumer lending industry.
· Pharma / life science experience would be a plus but not mandatory.
· Excellent oral and written communication skills.
· Be willing to travel.
