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Lead Data Engineer, Snowflake
RecruityTalentLead Data Engineer responsible for building and optimizing scalable data platforms. Working remotely for a recruitment agency supporting startups and enterprises in Bulgaria, EMEA, and LATAM.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing scalable data pipelines and platforms, with a strong focus on ETL/ELT processes and data quality. Proficient in leveraging tools like Databricks and Apache Spark to drive data-driven insights and mentor junior engineers.
Highest-signal resume keywords
Data EngineeringETL/ELT Pipeline DevelopmentApache SparkDatabricksPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignETL/ELT ProcessesSQLData ModelingCloud PlatformsData Lake ArchitecturesVersion Control SystemsCI/CD PracticesData ProcessingBig Data Development
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication Skills
Tools & Technologies
DatabricksApache SparkSnowflakeDbtAWSAzureGCPGit
Tech Stack
Tools & technologiesApacheAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Health insurance
- Flexible working hours
- Professional development opportunities