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Job Description
Data & Automation Engineer, you will work on developing data pipelines, automation workflows, and integration frameworks that bring efficiency, reliability, and scalability to complex operations. A core part of this role is strong database knowledge, ensuring data accuracy, reconciliation, and consistency across multiple systems. You will collaborate with cross-functional teams to deliver scalable solutions that integrate data, automation, and operational platforms.
- Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from multiple sources.
- Build, optimize, and manage relational and non-relational databases to support automation and integration needs.
- Ensure high standards of data quality, reconciliation, and consistency across systems of record and real-time feeds.
- Implement automation workflows to improve operational efficiency and reduce manual effort.
- Develop and integrate APIs and services to connect data sources, platforms, and portals.
- Collaborate with domain experts and engineers to translate requirements into scalable technical solutions.
- Support CI/CD practices, testing, and documentation for all developed solutions.
Job Requirements
- Minimum 2+ years of experience in data engineering, database management, or system integration.
- Strong background in database design, management, and optimization.
- Proven experience with SQL and NoSQL databases, including schema design, indexing, and performance tuning.
- Hands-on experience in automation, integration, and data pipeline development.
- Proficiency in Python or similar programming languages.
- Knowledge of ETL concepts, data modeling, and reconciliation frameworks.
- Familiarity with event-driven architectures (e.g., Kafka or similar).
- Understanding of automation concepts such as telemetry, reconciliation, and closed-loop operations.
- Strong analytical and problem-solving skills with the ability to work across teams.
- Willingness to travel based on business needs.
