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Role: Data Engineer
Location-100% Remote Position
Job Description:
• 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 data sets.
• 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 understating, 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.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Apache NiFi,AWS Step Function ,Oozie,Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: AWS DMS, Kinesis, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Reference : Data Engineer jobs

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Published at 14-09-2022
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