Clicklease

Data Engineer

Clicklease

full-time

Posted on:

Origin:  • 🇨🇷 Costa Rica

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudETLMySQLPostgresPythonSparkSQLTableau

About the role

  • Monitoring database performance and optimizing query execution for efficiency
  • Ensuring data integrity, availability, and recoverability through backup and disaster recovery strategies
  • Troubleshooting database issues and providing timely resolutions
  • Collaborating with developers, analysts, and IT teams to design and optimize database structures
  • Automating routine database administration tasks using scripting and database tools
  • Managing database access and user permissions based on security best practices
  • Building ETL (Export, Transform, and Load) operations to warehouse, data lake, etc.
  • Designing and maintaining databases with strong SQL experience
  • Data Analysis and Data modelling with cloud data platforms
  • Staying up to date with emerging database technologies and best practices
  • Effectively collaborate with business stakeholders, ML engineers, and data engineers

Requirements

  • 3 years of experience in database administration, management, or related roles
  • Expertise in relational database management systems (e.g., SQL Server, PostgreSQL, MySQL)
  • Proficiency in SQL scripting, performance tuning, and query optimization
  • Experience with database backup, recovery, and replication strategies
  • Strong understanding of database security principles and access control
  • Knowledge of database monitoring tools and techniques
  • Familiarity with cloud-based database solutions such as AWS RDS, Azure SQL, or Google Cloud SQL
  • 3-5 Years strong experience of building data pipelines and ETL/ELT processes (Python, Spark, Snowpark, SQL)
  • Strong background in data modeling and implementing robust monitoring/alerting strategies for production data pipelines
  • Exposure to data visualization tools (e.g. Sigma, Tableau, Power BI)
  • Familiarity with DevOps practices and CI/CD pipelines
  • Familiarity with SCRUM
  • Good understanding of Data Science or Machine Learning practices
  • Certifications on any of these data platforms SQL Server, AWS or Snowflake is plus
  • Resume must be written in English