The Role
Build, maintain, and optimize data pipelines, ETL processes, and data models to ensure reliable, scalable data availability. Collaborate with data scientists, analysts, and cross-functional teams to address data quality, governance, and performance; document systems and troubleshoot issues.
Summary Generated by Built In
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talent team.
As a Data Engineer, you will play a crucial role in our data team, contributing to developing and maintaining data pipelines and systems. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics. Your responsibilities will encompass data ingestion, transformation, and delivery, as well as maintaining and optimizing data infrastructure.
The Data Engineer is expected to contribute to developing and maintaining data infrastructure, ensuring data reliability and availability. You should be able to work independently and as part of a team, adapting to changing data needs and collaborating with data professionals to provide valuable insights to the organization. Staying current with data engineering best practices and emerging technologies is essential for success in this role.
Responsibilities:
- Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability.
- Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency.
- Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment.
- Monitor and address data quality issues, implement data validation processes, and establish data governance practices.
- Manage and optimize data storage, processing, and distribution systems, ensuring scalability and performance.
- Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Document data engineering processes, pipelines, and systems to maintain clear and accessible knowledge for team members.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Minimum of 3 years of experience in data engineering or a related field.
- Proficiency with one of databases: PostgreSQL, Redshift, Snowflake, familiarity with all of them.
- Experience with DBT.
- Experience with Apache Airflow for workflow orchestration.
- Proficiency in Python for data pipeline development and scripting.
- Experience with AWS cloud services, including S3, EC2, and EMR.
- Familiarity with Kafka for real-time data streaming.
- Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker).
- Project management skills using Jira or similar tools.
- Ability to collaborate effectively with cross-functional teams and understand business data needs.
- Strong problem-solving skills, a proactive approach to troubleshooting data issues, and critical thinking abilities.
- Adaptable and open to learning new technologies and methodologies.
What you will get in return:
- Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
- Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
- Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
- Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
- Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
- Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
- Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request [email protected]. You may report a violation referred to in the Procedure under the terms specified therein.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights!
Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity.
Work alongside one of the most brilliant teams in the industry.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Minimum of 3 years of experience in data engineering or related field
- Proficiency in Python for data pipeline development and scripting
- Experience with Apache Airflow for workflow orchestration
- Strong knowledge of Spark and Databricks for big data processing
- Proficiency with AWS services including S3, EC2, and EMR
- Experience with SQL and NoSQL databases
- Experience with Postgres
- Experience with Amazon Redshift
- Familiarity with Kafka for real-time data streaming
- Familiarity with data visualization and reporting tools (Tableau, Power BI, or Looker)
- Project management skills using Jira or similar tools
- Strong problem-solving skills and proactive troubleshooting ability
- Ability to collaborate effectively with cross-functional teams
- Adaptable and open to learning new technologies and methodologies
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The Company
What We Do
Capital provides software that enables founders to raise, hold, spend, and send funds all in one place. Capital has evolved its flagship fundraising tool (formerly known as Party Round) to provide founders with banking solutions that streamline their startups.
