
Data Services Engineer
15 hours ago
JD Analysis: Data Service Engineer
Role Summary:
A Data Service Engineer is expected to act as an individual contributor responsible for
designing, building, and maintaining data pipelines and integrations that support
enterprise applications. The role requires hands-on experience in Python, SQL, ETL tools,
and API-based integrations.
Core Responsibilities:
- Design, develop, and maintain robust, scalable data pipelines using Python and
SQL.
- Work on end-to-end integration of enterprise applications using RESTful APIs,
webhooks, or other middleware tools.
- Optimize ETL workflows and data transformation frameworks for performance and
reliability.
- Monitor and troubleshoot data flows and integrated services to ensure smooth
operations.
- Collaborate with application teams and stakeholders to understand data
requirements and build integration solutions accordingly.
- Ensure data quality, security, and governance standards are met across all
integrations.
Key Skills & Experience:
Skill Area Requirement
Experience ~5 years (4.56 years acceptable range), preferably in a product or
SaaS setup
Programming Strong with Python and SQL
Data Pipelines /
ETL
Solid experience in building pipelines using ETL frameworks or
tools (e.g., Apache Airflow, Informatica, Talend, etc.)
APIs & Integration Strong understanding of REST APIs, JSON/XML parsing,
integration tools (like MuleSoft, Dell Boomi, etc. if mentioned)
Databases Proficient with relational databases (PostgreSQL, MySQL, etc.)
and query tuning
Cloud Exposure
(Preferred)
Familiarity with cloud platforms (AWS/GCP/Azure) is a plus
Soft Skills Self-starter, excellent problem-solving ability, stakeholder
communication
Preferred Qualifications:
- Bachelors/Master's degree in Computer Science, IT, or related field.
- Certifications in ETL, API integration, or cloud data services (optional but preferred).
- Prior experience in enterprise-scale application integration is highly desirable
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