Data Engineer Job in Sequoia

The Opportunity:

• We are looking for a savvy Data Engineer to join our growing team. The person will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architect, devops architect and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout the system. The right candidate will be excited by the prospect of optimizing or even re-designing our company s data architecture to support our next generation of products and data initiatives.

What You Get to Do:

• 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 through third party APIs.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer data, 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

What You Bring:

• 3+ years experience in building the data pipeline where there are multiple data sources through third party APIs
• Experience with any one of the data engineering tools: Hadoop, Spark, Kafka, neo4j, etc.
• Experience data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Advanced working SQL knowledge and experience working with relational databases.
• Experience building and optimizing data pipelines, architectures and data sets
• Expert in scripting languages: Python, Java, C++, Scala, etc.
• 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 and disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable data stores. Experience supporting and working with cross-functional teams in a dynamic environment. Graduate degree in