Senior Data Engineer
hace 6 meses
ID: 13093
**What you will do**
- Build sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations;
- Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services;
- Work with our data science and product management teams to design, rapidly prototype, and productize new data product ideas and capabilities;
- Conquer complex problems by finding new ways to solve with simple, efficient approaches with a focus on reliability, scalability, quality, and cost of our platforms;
- Build processes supporting data transformation, data structures metadata, and workload management;
- Collaborate with the team to perform root cause analysis and audit internal and external data and processes to help answer specific business questions.
**Must haves**
- Master’s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field;
- 5+ years of professional Dimensional Data Warehousing/Data Modeling and ‘Big Data’ Experience;
- 5+ years in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services;
- Expertise in establishing data quality assurance frameworks particularly using Great Expectations;
- Experience working directly with data analytics to bridge business requirements with data engineering;
- Experience with AWS infrastructure;
- Excellent troubleshooting and problem-solving skills;
- Ability to operate in an agile, entrepreneurial start-up environment, and prioritize;
- Excellent communication and teamwork, and a passion for learning;
- Curiosity and passion for data, visualization, and solving problems;
- Willingness to question the validity, accuracy of data and assumptions.
**Nice to have**
- Experience with Redshift, Snowflake, or other MPP databases is a plus;
- Knowledge for ETL/ELT tools like Informatica, Matillion, IBM DataStage, or SaaS ETL tools is a plus;
- Experience with Tableau or other reporting tools is a plus;
- Experience with CI/CD using tools like CircleCI, Harness is a plus.
**The benefits of joining us**
- **Professional growth**
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
- **Competitive compensation**
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
- **A selection of exciting projects**
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
- **Flextime**
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.
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