Senior Data Engineer
Company: Cirkul, Inc.
Location: Boston
Posted on: October 31, 2024
Job Description:
What is this role?
As a Senior Data Engineer at Cirkul, you will play a critical role
in designing, building, and maintaining our data infrastructure.
You will work closely with data scientists, analysts, and software
engineers to develop data pipelines, optimize performance, and
ensure data integrity across our platforms. This is an exciting
opportunity for a seasoned professional to contribute to impactful
data projects and drive data strategy for a rapidly growing
company.
The Senior Data Engineer will ensure an optimal delivery of
initiatives across Data Pipeline Design and Development, Data
Warehousing and Modeling, and Performance Optimization. They will
also mentor data engineers on the team and collaborate cross
functionally to set the strategic roadmap and execute.
What does an average day look like?
Driving Results:
- Build the infrastructure required for optimal extraction,
transformation, and loading of data from a wide variety of data
sources using Python and/or Node.js, SQL (using dbt for
transformation), commercial SaaS and OSS offerings, and AWS big
data technologies
Taking Ownership:
- Integrate DevOps/SRE practices on the data team by solving for
performance, monitoring, and alerting
Making Decisions:
- Create and maintain optimal data pipeline architecture
Cultivating Relationships:
- Work with stakeholders to assist with data-related technical
issues and support their data infrastructure needs
Instilling Trust:
- Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing
infrastructure for greater scalability, etc.
Customer Focus:
- Manage infrastructure and configuration of data platform in the
Cloud, ensuring health, reliability and uptime
What background should you have?
- Bachelor's degree in Computer Science, Engineering,
Mathematics, or a related field. Advanced degree strongly
preferred.
- 5+ years of experience in a Data Engineer role at a fast-paced
organization with a proven track record of designing and
implementing data pipelines, data warehouses, and data
models
- Strong experience with SQL and NoSQL databases, including
expertise in performance tuning and optimization.
- Hands-on experience with cloud data platforms (e.g., AWS
Redshift, Google BigQuery, Azure Synapse) and data processing
frameworks (e.g., Apache Spark, Kafka).
- Experience with programming languages such as Python, Java, or
Scala.
- Proficiency in ETL tools and frameworks, such as Apache
Airflow, Luigi, or similar.
- Experience with data integration tools and techniques,
including RESTful APIs and data ingestion methods.
- Knowledge of data visualization tools and reporting platforms
(e.g., Tableau, Looker, Power BI) is a plus.
- Experience with modern columnar data warehouses such as
Snowflake, Redshift, BigQuery
- Experience performing root cause analysis on internal and
external data and processes to answer specific business questions
and identify opportunities for improvement
- Strong project management and organizational skills
- Experience supporting and working with cross-functional teams
in a dynamic environment
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Keywords: Cirkul, Inc., Lynn , Senior Data Engineer, Engineering , Boston, Massachusetts
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