Sr. Data Engineer

  • San José
  • Permanente
  • Tiempo completo
  • Hace 22 días
Job Category: Data Science and Business IntelligenceJob Description:We are seeking a highly motivated and detail-oriented Data Engineer to join our growing data team. The ideal candidate will be responsible for building and maintaining efficient, scalable data pipelines and contributing to the design and development of our data architecture. This role requires strong analytical thinking, solid programming skills, and a passion for working with large and complex datasets.Responsibilities:
  • Design, build, and maintain reliable and scalable data pipelines.
  • Write and optimize SQL queries to extract, transform, and load data from various sources.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
  • Ensure data quality, consistency, and governance across the organization.
  • Work with structured and unstructured data.
  • Document data workflows, processes, and technical specifications.
Qualifications:Required Qualifications
  • Bachelor's degree in Computer Engineering, Computer Science, or a related field, or equivalent professional experience.
  • At least 5 years of experience with SQL for data manipulation and analysis.
  • At least 3 years of experience with Python for scripting and data processing.
  • At least 5 years of experience working with structured and unstructured databases.
  • At least 5 years of experience with MySQL or similar relational database systems.
  • At least 3 years of experience with Snowflake data warehouse.
  • At least 3 years of experience with Amazon Web Services (AWS) ecosystem.
Preferred Qualifications
  • Experience with Apache Airflow or other workflow orchestration tools.
  • Familiarity with Aerospike or other high-performance NoSQL databases.
  • Experience handling large-scale datasets (tens of terabytes or more).
  • Experience with CloudFormation or other infrastructure-as-code tools.
  • Familiarity with OpenSearch or Elasticsearch.
  • Experience with Matillion or other ETL/ELT tools.
#LI-MB1#LI-HybridAbout Us:For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.Verisk Businesses- provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision- supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences- offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient- provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.- provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance- delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement- offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.- provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become strongerVerisk Analytics is an equal opportunity employer.All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Verisk

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