Website:
commergence.in
Job details:
Primary title: Data Engineer
A fast-growing player in the e-commerce technology and digital commerce sector building data products that power personalized shopping, recommendation engines, and merchant analytics.
Hiring for a fully remote role based in India to own and scale the data platform that supports analytics, reporting, and real-time services.
Role & Responsibilities
- Design, build, and operate reliable ETL/ELT data pipelines for batch and streaming workloads to ingest, transform, and deliver high-quality data to downstream consumers.
- Develop scalable data processing jobs in Python and Apache Spark, ensuring performance, maintainability, and cost-efficiency on cloud infrastructure.
- Implement orchestration, scheduling, and observability using Apache Airflow and monitoring stacks; automate failure recovery and alerting.
- Collaborate with Product, Analytics, and ML teams to translate business requirements into data models, schemas, and ingestion patterns.
- Maintain and optimize data warehouse schemas and SQL queries to support low-latency analytics and reporting at scale.
- Define engineering best practices for CI/CD, data quality checks, and security controls for the data platform.
Skills & Qualifications
Must-Have
- Python
- SQL
- Apache Spark
- Apache Airflow
- AWS
- ETL
- Data Warehousing
- Apache Kafka
Preferred
Benefits & Culture Highlights
- Fully remote role with flexible hours for India-based candidates and a focus on outcomes over time-sheets.
- Opportunity to influence and scale core commerce-data systems used by analytics and ML teams.
- Collaborative, ownership-driven engineering culture with regular learning sessions and a strong emphasis on production reliability.
Skills: python,sql,apache spark,aws,etl,data warehousing,apache kafka,snowflake,docker,terraform
Click on Apply to know more.