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Senior Software Engineer in Data

72% Flex

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Indiana (USA)

Offer summary

Qualifications:

6+ years software engineering experience with Python, Expertise in ETL pipelines for large-scale data, Knowledge of distributed and high-available systems, Experience with data warehouses and Kafka.

Key responsabilities:

Design, develop, and maintain ETL pipelines
Implement data lakes and warehouses
Collaborate on cross-functional teams
Lead full software development lifecycle
Communicate effectively with team members

Eqvilent Financial Services Scaleup https://eqvilent.com/

51 - 200 Employees

See more Eqvilent offers

Job description

Your missions

We are looking for a seasoned senior software engineer with experience in building distributed and high-available data delivery solutions.
You will be joining the Data delivery team that is responsible for acquiring, processing and delivering data from various sources: internationally distributed internal sources, on-premise and cloud-based systems and external counterparts.
Yours will be a key role in providing the essential asset for the core business of the company - research data.

What You’ll Be Doing:

Design, develop, and maintain high-performance ETL pipelines for large-scale data processing.
Implement and manage data lakes and data warehouses to support the organization's data needs.
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.
Lead and contribute to the full software development lifecycle, from ideation to deployment and maintenance.
Take ownership of projects, demonstrate strong leadership skills, and ensure successful delivery of data engineering initiatives.
Communicate effectively with team members and stakeholders to convey technical concepts and project updates.

What We Look For In You:

6+ years of hands-on experience in software engineering with a focus on Python.
Proven expertise in building and optimizing ETL pipelines for handling large-scale data.
Proficiency in distributed and high-available systems and a solid understanding of their principles.
Experience with data warehouses such as Hive, Clickhouse, and AWS Athena.
Familiarity with Kafka for building data streaming applications.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Nice-to-have:

Knowledge of other programming languages such as C++, Java, or Go.
Experience with cloud platforms such as AWS.
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.

Why Should You Join Our Team?