Senior Data Engineer
PipedriveRole Overview
Pipedrive is seeking a talented and experienced Senior Data Engineer to join our dynamic team in Tallinn. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust data pipelines and models to support our business operations and decision-making processes. You will work closely with a team of skilled data engineers and analysts to leverage cutting-edge technologies such as Apache Spark, Kafka, and Flink in our AWS cloud environment.
Key Responsibilities
- Design and implement scalable data pipelines and models.
- Develop and deploy data solutions to support business analytics.
- Monitor system performance and troubleshoot issues.
- Collaborate with internal teams to understand business requirements and deliver data-driven insights.
- Lead system design and architecture initiatives.
- Conduct code reviews and ensure best practices in data engineering.
Qualifications
- Minimum of 3 years of experience in data engineering.
- Proficiency in Python and SQL.
- Experience with distributed data processing systems like Apache Spark and Apache Flink.
- Familiarity with cloud computing platforms, preferably Amazon AWS.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
Why Join Pipedrive?
- Work in a value-driven environment with a focus on growth and innovation.
- Collaborate with a diverse team from over 50 different countries.
- Enjoy flexible working hours and a supportive team atmosphere.
- Benefit from competitive compensation and a comprehensive benefits package.
- Engage in continuous learning and development opportunities.
Pipedrive is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Benefits Extracted with AI
- Health and accident insurance
- Health days
- Quarterly contribution to sports
- In-house coaches
- Employee discounts
- Competitive salary and bonus system
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