We are looking for 5 years experienced Data Engineer
*Create and maintain optimal data pipeline architecture
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 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.
*Work with data and analytics experts to strive for greater functionality in our data systems.
*Recommending changes in development, maintenance, and system standards.
*Working in an agile development environment to deliver a high-quality product
*Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
*Strong analytical skills.
*Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
*Working knowledge of message queuing, stream processing and highly scalable BigData data stores.
*Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
*Experience with stream-processing systems: Storm, Spark-Streaming, etc.
*Experience with programming languages: Python, Scala.
*Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing, and operations.
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