BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.
Role Summary
Design, build, and maintain scalable data pipelines and architectures. Collaborate with analytics teams to deliver robust data solutions using big data and cloud technologies. Ensure data quality, reliability, and compliance.
What Youll Do
- Design and develop robust, scalable, and high-performance data pipelines
- Build and maintain data lakes and data warehouses
- Perform data integration from multiple structured and unstructured sources
- Optimize data workflows and ensure data quality and reliability
- Work closely with Data Scientists and Analytics teams to enable advanced analytics use cases
- Implement ETL/ELT processes and automation
- Ensure data governance, security, and compliance standards
What We re Looking For (Must-Haves):
- Strong hands-on experience in SQL and Python/Scala
- Experience with big data technologies (Spark, Hadoop, Kafka)
- Strong knowledge of ETL tools and data pipeline orchestration (Airflow, etc.)
- Experience with cloud platforms (AWS/Azure/GCP)
- Expertise in building data warehouses (Snowflake, Redshift, BigQuery, etc.)
- Strong understanding of data modeling concepts
These skillls are also included in must have:-
1. Apache NiFi
2. Python with Quick API, Django
3. Kafka/ RabbitMQ/ Celery
4. Apache Beam/Flink/airflow
5. Kubernetes
6. GCP & Azure experience
Good to Have (Optional - only if mentioned):
- Experience in telecom domain
- Experience in real-time data processing
- Strong problem-solving and debugging skills
Qualifications:
As per requirement
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Data Engineer (Agra)
🏢 Proffer IT Consultancy
📍 Agra
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