Data Engineer

In this position you will…

…be joining our growing team of data enthusiasts. You 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.

You will be responsible for…

• Working with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Keeping our data separated and secure across national boundaries through multiple data centers and AWS\GCP regions
• Assembling large, complex data sets that meet functional/non-functional business requirements
• Creating and maintaining optimal data pipeline architecture 
• Creating data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader 
• 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 Databricks, 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 data and analytics experts to strive for greater functionality in our data systems

For you to be successful…

…we expect you to be able to demonstrate the following key competencies: 

Customer Focus

• You have a strong commitment to understanding and anticipating internal/external customers and partners’ diverse needs and expectations and strive to deliver customer-centric solutions

Impactful

• You take action and deliver, focusing on continuous improvement and creating optimal outcomes

Creative

• You have creative ideas, test out new approaches and you are able to identify and take advantage of new opportunities or innovations at the right time 

Adaptable

• You adjust your style and approach in a nimble manner demonstrating a flexible, resilient and proactive approach in order to be successful

Curious

• You are curious and eager to learn and acquire new knowledge and skills, you seek to consistently encourage and understand fresh perspectives

You will require the following qualifications and skills                                                                                                               

• 5 years of experience in a Data Engineer role, who has attained a Graduate Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• SQL knowledge and experience working with relational and NoSQL databases, query authoring (SQL) as well as working familiarity with a variety of databases 
• Experience in designing, building and optimizing data pipelines, and data sets 
• Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Experience in setting up and implementing data platforms such as new infrastructure, VPC setting, security settings and configurations on cloud platform such as Azure, GCP or AWS
• 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 manipulating, processing, and extracting value from large, disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Strong project management and organizational skills
• Experience in supporting and working with cross-functional teams in a dynamic environment
• They should also have proven experience using the following software/tools:
  • Experience with relational SQL and NoSQL databases, including Postgres, Oracle, mySQL and mongoDB 
  • Experience with Databricks (mandatory) 
  • Experience with data pipeline orchestration and workflow management tools: Airflow, Astronomer, etc.
  • Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift, and Glue 
  • Experience with GCP cloud services: GCS, Dataproc, GCE, BigQuery, and GKE 
  • Experience with object-oriented/object function scripting languages: Python (mandatory), Java, C++, Scala, etc. 
  • Experience with Git 

bolttech is an international insurtech with a mission to build the world’s leading, technology-enabled ecosystem for protection and insurance. With a full suite of digital and data-driven capabilities, bolttech powers connections between insurers, distributors, and customers to make it easier and more efficient to buy and sell insurance and protection products.

We’re a global team of pioneers, united by our ambition to build the future of our industry. Our team are growing our footprint all the time, serving millions of customers and partners around the world. We believe we are uniquely positioned as transformation leaders, because we are at the intersection of insurance and technology.

                                                                 DIVERSITY AND INCLUSION

At bolttech, we are diverse and inclusive. We value each person's unique skills, background, and identity.  We never discriminate on cultural background, religion, sex, gender, gender identity or expression, sexual orientation, age, disability, veteran status, genetic information, marital or family status or any legally protected status. Everyone belongs. And because everyone’s different, we’re also flexible in the ways we work, so each person can bring their best efforts every day.

In this position you will be joining our growing team of data enthusiasts. You 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.