Job Expectations:

·         Create and maintain optimal data pipeline architecture,

·         Assemble large, complex data sets that meet functional / non-functional business requirements.

·         Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

·         Build the infrastructure required for optimal ingestion, transformation, and Publishing of data from a wide variety of data sources using Python/Spark and AWS 'big data' technologies.

·         Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

·         Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

·         Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

·         Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

·         Work with data and analytics experts to strive for greater functionality in our data systems

Experience Requirements:

·         Advanced working SQL,Python/PySpark knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

·         Experience building and optimizing 'Cloud big data' data pipelines, architectures and datasets.

·         Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

·         Strong analytic skills related to working with unstructured datasets.

·         Build processes supporting data transformation, data structures, metadata, dependency and workload management.

·         A successful history of understaing, processing and extracting value from large disconnected datasets.

·         Working knowledge of message queuing, stream processing and highly scalable 'big data' data stores.

·         Understating of various data sets Structured ,Semi Structured ,Data at rest /Motion

·         Experience in Data Modeling

·         Strong project management and organizational skills.

·         Experience supporting and working with cross-functional teams in a dynamic environment. and knowledge of one or more from the below

o    Experience with big data tools: Hadoop, Spark, Kafka, etc.

o    Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

o    Experience with data pipeline and workflow management tools: Apache NiFi,AWS Step Function ,Oozie,Azkaban, Luigi, Airflow, etc.

o    Experience with AWS cloud services: EC2, EMR, RDS, Redshift

o    Experience with stream-processing systems: AWS DMS, Kinesis, Spark-Streaming, etc.

o    Experience with object-oriented/object function scripting languages: Python, Java,C++, Sc

All your information will be kept confidential according to EEO guidelines.