Relational database experience with large datasets
Etl / elt pipeline building and maintenance
Apexanalytix is seeking a Data Platform Developer in Noida, India, to design, develop, and maintain large-scale data systems. The ideal candidate should have strong SQL development experience and familiarity with ETL/ELT processes, data quality, and cloud technologies. The position offers competitive benefits and a supportive corporate culture focused on innovation and employee growth
Job Summary
The Data Platform Developer is responsible for designing and maintaining complex data architectures and pipelines to ensure scalability and performance.
Candidates must possess strong hands-on experience with advanced SQL development, optimization, and workflow orchestration tools like Airflow.
Apexanalytix offers competitive benefits including a Mentor Program, Internal Training Portal, and assistance with Education and Certification.
Matching Summary
Match Score: 85
Apexanalytix is seeking a Data Platform Developer in Noida, India, to design, develop, and maintain large-scale data systems. The ideal candidate should have strong SQL development experience and familiarity with ETL/ELT processes, data quality, and cloud technologies. The position offers competitive benefits and a supportive corporate culture focused on innovation and employee growth.
Skills & Requirements
Must-have
Advanced SQL development and optimization
Relational database experience with large datasets
ETL / ELT pipeline building and maintenance
Workflow orchestration platforms like Airflow
SQL performance tuning and indexing techniques
Data transformation and validation logic implementation
Nice-to-have
Experience with dbt for SQL-based transformations
Familiarity with Docker and Kubernetes containerization
Knowledge of Apache Doris or Snowflake platforms
REST API integration and data modeling skills
Cloud-based data platform services experience
Key Requirements
Bachelor's degree in Computer Science or related field
Proven experience with relational databases and large-scale datasets
Ability to work independently while collaborating with cross-functional teams