Job ID : 27911
Location : Chantilly, VA
Company Name : Esvee Technologies
Job Type : Full-Time
Industry : Information Technology
Salary : $50 - $60 per hour
No. of Positions : 2-4
Required Skills : Hadoop, Scala, Spark, AWS, Kafka, Flink, Druid.
Benefits : None of These
Position : Data Engineer Position Type: W2 Location: Chantilly VA Experience : 5 - 8 Years
Responsibilities
● 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 extraction, transformation, and loading of data from a wide variety of data sources using SQL 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.
● 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.
Requirements
● Bachelor’s degree in Computer Science Engineering, Data Analytics, or a related technical degree.
● working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Kafka, Flink etc) for building efficient, large-scale ‘big data’ pipelines.
● Strong Software Engineering experience with proficiency in at least one of the following programming languages: Java, Python, Scala or equivalent.
● Implement data ingestion pipelines both real time and batch using best practices.
● Experience with building stream-processing applications using Apache Flink, Kafka Streams or others.
● Experience with Cloud Computing platforms like Amazon AWS, Google Cloud etc.
● Build processes supporting data transformation, data structures, metadata, dependency and workload management.
● Experience supporting and working with cross-functional teams in a dynamic environment.
● Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
● Ability to work in a Linux environment.
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