Database Developer (Database Nodejs)

Who We Are

• Design, develop, and optimize relational and NoSQL database systems for high
• performance and scalability.
• Work extensively with databases such as PostgreSQL, Oracle, MySQL, SQL Server,
• MongoDB, and other database technologies.
• Implement schema design, indexing strategies, query tuning, partitioning, replication,
• and backup/recovery solutions.
• Ensure database security, data quality, and governance best practices.
• Data Warehousing & Cloud Data Platforms
• Design and implement data warehousing solutions leveraging Snowflake, BigQuery,
• Redshift, Azure Synapse or equivalent cloud platforms.
• Build and enhance ELT/ETL pipelines for structured and unstructured data ingestion.
• Implement best practices for data modeling , performance optimization, clustering, and
• warehouse cost governance.

• Build scalable data pipelines and automation scripts using Python, Node.js or similar
• languages.
• Develop reusable data components, microservices, and integrations across data
• systems.
• Implement NCLC (No-Code/Low-Code) based development approaches wherever
• applicable.
• Collaborate with analytics teams to enable data availability for BI, reporting, ML, and
• product use cases.

• Perform exploratory data analysis to drive insights, improve data structures, and identify
• optimization opportunities.
• Work closely with Data Analysts, BI Engineers, and Product & Engineering teams to
• support data-driven solutions.
• Provide guidance on best data engineering, architecture, and development practices.

• Bachelor’s/Master’s in Computer Science, Data Engineering, IT, or related field.
• 5-8 years of experience in database engineering, data warehousing, or data engineering
• roles (adjust as needed).
• Strong expertise in:
• SQL & PL/SQL development PostgreSQL, Oracle, MySQL/MariaDB, MongoDB (any additional DBs are a plus)
• Snowflake, Big Query, Redshift, or similar modern data warehouses
• Strong programming skills in Python and/or Node.js for data pipelines and automation.
• Experience with data modeling, ETL/ELT tools, and data architecture concepts.
• Familiarity with DevOps practices for databases (CI/CD, Git, Data Ops, versioning).
• Experience with No-Code/Low-Code (NCLC) based platforms for rapid development
• (nice to have).

• Knowledge of Kafka, Spark, Airflow, dbt, or similar data pipeline tools.
• Exposure to ML model data enablement or analytics engineering.
• Ability to handle big data technologies and distributed data systems.

• Strong analytical, problem-solving, and debugging skills.
• Ability to work in fast-paced and cross-functional environments.
• Excellent communication and documentation skills.
• Ownership mindset and ability to work independently with minimal supervision.

Why Join Us?

• You hate micromanagement and freedom to work is important to you
• Enjoy a flexible and relaxed work environment
• Work-life balance is important to you
• Enjoy Motivating Working Conditions
• A friendly, Supportive, Professional and achievement-oriented management team
• Competitive remuneration
• An opportunity to learn new things every day and work on the latest technologies