RecruityTalent
1 - 10 employees
Founded 2024
đź Consulting
đŚ Logistics
đŻ Recruiter
Consulting ⢠Logistics ⢠Recruitment
RecruityTalent is a recruitment agency that partners with companies to manage the full hiring lifecycle, offering standard and flexible solutions through onsite recruitment projects and agency services. It provides end-to-end hiring support â including job postings, candidate sourcing, screening, interviews and offer management â with experience in IT, BPO and executive search, aligning hiring to clients' business vision and company culture.
Lead Data Engineer, Snowflake
Job not on LinkedIn
đ July 1
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RecruityTalent
1 - 10 employees
Founded 2024
đź Consulting
đŚ Logistics
đŻ Recruiter
Consulting ⢠Logistics ⢠Recruitment
RecruityTalent is a recruitment agency that partners with companies to manage the full hiring lifecycle, offering standard and flexible solutions through onsite recruitment projects and agency services. It provides end-to-end hiring support â including job postings, candidate sourcing, screening, interviews and offer management â with experience in IT, BPO and executive search, aligning hiring to clients' business vision and company culture.
đ Description
⢠Design, develop, and maintain scalable data pipelines and data platforms ⢠Build and optimize ETL/ELT processes for large-scale data processing ⢠Work with Databricks to develop and manage data workflows and analytics solutions ⢠Implement data processing solutions using Apache Spark and modern data engineering practices ⢠Collaborate with data scientists, analysts, and business stakeholders to enable data-driven insights ⢠Ensure data quality, reliability, and performance of data pipelines ⢠Contribute to architecture decisions and data platform improvements ⢠Mentor junior engineers and promote best practices in data engineering
đŻ Requirements
⢠5+ years of experience in Data Engineering or Big Data development ⢠Hands-on experience with Databricks, Apache Spark and/or Snowflake, dbt ⢠Strong experience building ETL/ELT pipelines ⢠Proficiency in Python for data processing ⢠Experience with SQL and data modeling ⢠Experience working with cloud platforms (AWS, Azure, or GCP) ⢠Familiarity with data lake or Lakehouse architectures ⢠Experience with version control systems (e.g., Git) and CI/CD practices ⢠Strong analytical and problem-solving skills ⢠Very good communication skills in English.
đď¸ Benefits
⢠Health insurance ⢠Flexible working hours ⢠Professional development opportunities
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