Overview

Full Stack Backend Developer responsible for database and data engineering solutions.

Responsibilities

• We are seeking a highly skilled Database & Data Engineering Specialist with strong expertise in database systems, data warehousing platforms, and modern programming technologies. The ideal candidate will be responsible for designing, developing, optimizing, and maintaining scalable data solutions across transactional databases and cloud-based data warehouses. This role requires deep hands-on technical capabilities, strong data engineering skills, and
• experience in data modeling, ETL/ELT, and NCLC-based coding practices.
• 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.

Qualifications

• 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.
• Familiarity with DevOps practices for databases (CI/CD, Git, Data Ops, versioning).

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.
• 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