Database Researcher

Database Research Engineer

Experience:

Salary :

Preferred Notice Period

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills:

Python, SQL, AWS

Forbes Advisor (One of Uplers' Clients) is Looking for:

Database Research Engineer to join our organization. The Data Research Engineering Team is a brand new team with the purpose of managing data from acquisition to presentation, collaborating with other teams while also operating independently. Their responsibilities include acquiring and integrating data, processing and transforming it, managing databases, ensuring data quality, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs.

A typical day in the life of a Database Engineer/Developer will involve designing, developing, and maintaining a robust and secure database infrastructure to efficiently manage company data. They collaborate with cross-functional teams to understand data requirements and migrate data from spreadsheets or other sources to relational databases or cloud-based solutions like Google BigQuery and AWS. They develop import workflows and scripts to automate data import processes, optimize database performance, ensure data integrity, and implement data security measures. Their creativity in problem-solving and continuous learning mindset contribute to improving data engineering processes. Proficiency in SQL, database design principles, and familiarity with Python programming are key qualifications for this role.

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).

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

How to apply for this opportunity:

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2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

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