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 cloud ‘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, Finance and to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries.
Create data tools for analytics team members that assist them in building and optimizing the banks products.
Work with data and analytics experts to strive for greater functionality in our data systems.
RESPONSIBILITIES:
Operational excellence
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Create and maintain optimal data pipeline architecture,
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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 cloud ‘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 etc. to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics team members that assist them in building and optimizing our products.
- Work with data and analytics experts to strive for greater functionality in our data systems.
REQUIREMENTS
Qualifications
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
Experience
- 6+ years of experience in a Data Engineer role
Knowledge, Skills and Abilities Required
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Experience with big data tools: Hadoop, Spark, Kafka, etc.
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Experience with relational SQL and NoSQL database.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
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Experience with cloud services: EC2, EMR, RDS, Redshift etc.
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Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Strong project management and organizational skills.
Desired Skills:
- Re-designing infrastructure
- Data delivery
- Building Infrastructure
- Information Technology
- Hadoop
- Spark
- Kafka
- EC2
- EMR
- RDS
- Storm
- Spark-Streaming