Offer summary

Qualifications:

10+ years of experience in enterprise data engineering or related field., Expert level proficiency in Python and advanced SQL skills., Deep understanding of data governance and ETL/ELT pipeline optimization., Hands-on experience with AWS data services like S3, Glue, and Redshift..

Key responsibilities:

Collaborate with cross-functional teams to define and implement data architecture strategies.

Design and build robust data pipelines and analytics services.

Develop reliable data transformation processes using Airflow, SQL, and Python.

Contribute to Python packages and APIs while adhering to best practices.

Job description

Senior Data Operations Engineer – Remote

As a Senior Data Operations Engineer, you will work closely with cross-functional teams to define and implement Convera’s enterprise data architecture strategy. Your work will be instrumental in designing and implementing algorithms, building robust data pipelines, and fostering a culture of trust, transparency, and technical expertise.

In your role as a Senior Data Operations Engineer, you will:

Partnering with Engineering team members, Product Managers, Data Scientists, and customer-facing teams to understand complex data use cases and business logic
Building foundational pieces of our data platform architecture, pipelines, analytics, and services underlying our platform
Architecting and developing reliable data pipelines that transform data at scale, orchestrated jobs via Airflow, using SQL and Python in Snowflake
Contributing to python packages in Gitlab and APIs, using current best practices

Required Qualifications

10+ years of experience in enterprise data engineering, architecture or data governance, or a related field.
Expert Level Python
Advance SQL – performance tuning, query optimization, window functions, CTEs
Deep understanding of data governance, lineage, schema evolution, and metadata management.
Proven ability to build and optimize ETL/ELT pipelines with Airflow, Spark, Kafka, or similar tools.
Hands-on experience with AWS data services: S3, Glue, EKS, Redshift, Lambda.
Effective communication skills
Experience mentoring technical teams

Preferred Qualifications

Bachelor's degree or equivalent work experience in Computer Science, Engineering, or a related field is preferred

About Convera

Convera is a global leader in commercial payments that powers international business by moving money with ease. We provide tech-led payment solutions to help more than 26,000 customers globally grow with confidence, from small businesses to CFOs and treasurers. As experts in foreign exchange, risk and compliance, with an unrivaled regulatory footprint, Convera’s financial network spans more than 140 currencies and 200 countries and territories.

Our teams care deeply about the value we deliver to our customers, which makes Convera a rewarding place to work. This is an exciting time for our organization as we expand our team with growth-minded, results-oriented people who are looking to move fast in an innovative environment.

As a truly global company with employees in over 20 countries, we are passionate about diversity; we seek and celebrate people from different backgrounds, lifestyles, and unique points of view. We want to work with the best people and ensure we foster a culture of inclusion and belonging.

We offer an abundance of competitive perks and benefits including:

Competitive salary
Opportunity to earn a bonus (dependent on performance)
Great career growth and development opportunities in a global organization
Corporate benefits

There are plenty of amazing opportunities at Convera for talented, creative problem solvers who never settle for good enough and are looking to transform Business to Business payments.

Apply now!

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