Data Research - Database Engineer
Data Research - Database Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Key Responsibilities
Design build and maintain scalable and secure relational and cloud-based database systems.
Migrate data from spreadsheets or third-party sources into databases (PostgreSQL MySQL BigQuery).
Create and maintain automated workflows and scripts for reliable consistent data ingestion.
Optimize query performance and indexing to improve data retrieval efficiency.
Implement access controls encryption and data security best practices to ensure compliance.
Monitor database health and troubleshoot issues proactively using appropriate tools.
Collaborate with full-stack developers and data researchers to align data architecture with application needs.
Uphold data quality through validation rules constraints and referential integrity checks.
Keep up-to-date with emerging technologies and propose improvements to data workflows.
Leverage tools like Python (Pandas SQLAlchemy PyDrive) and version control (Git).
Support Agile development practices and CI/CD pipelines where applicable.
Required Skills and Experience
Strong SQL skills and understanding of database design principles (normalization indexing relational integrity).
Experience with relational databases such as PostgreSQL or MySQL.
Working knowledge of Python including data manipulation and scripting (e.g. using Pandas SQLAlchemy).
Experience with data migration and ETL processes including integrating data from spreadsheets or external sources.
Understanding of data security best practices including access control encryption and compliance.
Ability to write and maintain import workflows and scripts to automate data ingestion and transformation.
Experience with cloud-based databases such as Google BigQuery or AWS RDS.
Familiarity with cloud services (e.g. AWS Lambda GCP Dataflow) and serverless data processing.
Exposure to data warehousing tools like Snowflake or Redshift.
Experience using monitoring tools such as Prometheus Grafana or the ELK Stack.
Good analytical and problem-solving skills with strong attention to detail.
Team collaboration skills especially with developers and analysts and ability to work independently.
Proficiency with version control systems (e.g. Git).
Strong communication skills written and verbal.
Preferred / Nice-to-Have Skills
Bachelors degree in Computer Science Information Systems or a related field.
Experience working with APIs for data ingestion and third-party system integration.
Familiarity with CI/CD pipelines (e.g. GitHub Actions Jenkins).
Python experience using modules such as gspread PyDrive PySpark or object-oriented design patterns.
Experience in Agile/Scrum teams or working with product development cycles.
Experience using Tableau and Tableau Prep for data visualization and transformation.
Why Join Us
Monthly long weekends every third Friday off
Wellness reimbursement to support your health and balance
Paid parental leave
Remote-first with flexibility and trust
Work with a world-class data and marketing team inside a globally recognized brand
Qualifications :
5 Years exp in Database Engineering.
Additional Information :
Perks:
Day off on the 3rd Friday of every month (one long weekend each month)
Monthly Wellness Reimbursement Program to promote health well-being
Monthly Office Commutation Reimbursement Program
Paid paternity and maternity leaves
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
