Data Engineer - [GZF387]

Data Engineer - [GZF387]

07 Jun

07 Jun



Job Description

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

Preferred skills

*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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