Senior Data Engineer
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Job Location:
Atlanta, GA - USA
Yearly Salary:
$ 140000 - 150000
Posted on:
11-10-2025
Vacancies:
1 Vacancy
Job Summary
Senior Data Engineer Competencies
1. Cognitive Ability (30%)
- Demonstrates strong deductive reasoning and structured problem-solving breaking down complex and ambiguous challenges into clear hypotheses and logical conclusions.
- Balances short-term tactical needs with long-term scalability by evaluating tradeoffs in real time.
- Integrates diverse data and business inputs into coherent models that enable better decisions.
- Assesses alternative architectures tools or approaches and selects the path that maximizes enterprise value.
2. Execution Orientation (25%)
- Translates complex requirements into production-ready data pipelines ensuring solutions move from concept to reality.
- Maintains accountability for delivery in fast-paced M&A-driven environments persisting through ambiguity and shifting priorities.
3. Attention to Details (20%)
- Applies precision in relational and non-relational database design ensuring schemas are optimized for both reliability and performance.
- Designs and adapts ETL/ELT pipelines with a disciplined approach selecting and applying modern tools (e.g. Airflow dbt Python) while upholding exacting quality standards.
- Establishes rigorous validation and monitoring practices to safeguard accuracy consistency and trustworthiness across complex data flows.
4. System Thinking (15%)
- Recognizes interdependencies across ERP finance and operational systems integrating them into unified models that enable scale and long-term resilience.
- Envisions and designs analytics-ready data architectures that serve diverse use cases from real-time operations to enterprise reporting.
- Applies governance and metadata practices not as compliance exercises but as mechanisms to keep systems coherent secure and adaptable as the business evolves.
5. Empathy & Collaboration (10%)
- Builds alignment across engineering finance and operations by translating technical concepts into clear accessible language.
- Guides teams and vendors with a collaborative approach creating trust and accountability while maintaining technical rigor.
- Balances advocacy for best-practice architecture with empathy for business constraints enabling pragmatic solutions that teams can adopt and sustain.
- Establishes and enforces validation quality and monitoring standards so that systems remain dependable at scale.
10% Annual Bonus
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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