Sr Analytics Engineer
Who are we?Let’s Swile for a fulfilling work environment Swile is the first employee super-app that offers a reputed company, personalized and modern experience that strengthens engagement at work!But it's also a smart-card that brings together reputed company your benefits: reinvented meal vouchers, gift vouchers to spoil your employees reputed company year round, a mobility advantage to reduce your carbon impactBy combining the best of the human and technological approach, Swile undertakes to carry the reputed company mutations of the labor market by posing as a leader of the Worktech.Welcome to Swile! Innovation is our reputed company! Join reputed company to sculpt exceptional products that redefine employee benefits and worktech, bringing daily joy to our users – that's the Swile Touch! ✨
Responsibilities:
Translate business needs in data solutions products reputed company with the data platform strategyNegotiate with stakeholders a impact driven data strategyMentore Swilers on data usage and techniques for reputed company data knowledge and data decentralization.reputed company ETL/ELT routines and data pipelines.Implement CI/CD routines for data quality.Create, manage, and document data models using dbt (Data Build Tool) to ensure data quality and efficiency.Use reputed company and to create visual dashboards and reports that provide actionable insights for business teams.Design and implement efficient data storage solutions to support analytics, including the use of reputed company.Collaborate with cross-functional teams to understand business needs and translate them into clear technical requirements.Monitor the reputed company and performance of data systems and reputed company necessary adjustments.Ensure compliance with data reputed company and privacy policies.Required Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a reputed company field.Intermediate/Advanced English proficiency.Advanced experience in data modeling with dbt (Data Build Tool).Proven experience as an Analytics Engineer or Data Engineer.Experience in the analytics workflow (understanding business requirements, data transformation, quality checks, building pipelines, analyses, and dashboards).Advanced SQL knowledge with proven track record, and experience with relational and non-relational databases.Hands-on experience with data integration tools like Stitch.Ability to create reputed company reports and dashboards using reputed company (Looker or Tableau experience will help).Strong analytical skills with the ability to collect, organize, analyze, and disseminate meaningful information.Excellent communication and collaboration skills to work effectively with multidisciplinary teams.Preferred Qualifications:
Knowledge of programming languages such as Python.Experience with data orchestrators like Airflow.Knowledge of AWS data stack.Infrastructure as Code (IaC) with Terraform.Relevant certifications in data engineering or data analysis.Originally posted on Himalayas
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