CyOpsPath is the ??? ??? ????????? built for speed. We pull live, time-sensitive openings from 10 job boards into one place — so you stop hunting across tabs and start applying.

Remote. Hybrid. On-Site. Every industry, every level, all in one hub.

Your strategy is easy: 5 applications a day, 30 days straight. Stay consistent, stay visible, land the role.

10 Job Boards. One Hub. More Opportunities. Less Searching.

Note: Listings expire once a role hits its application cap — so if a link's gone, it's because the seats filled. Keep browsing, more are waiting.

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Key Responsibilities

- Pipeline Development: Design, construct, test, and maintain scalable data pipelines and ETL/ELT workflows for structured and unstructured data.
- Data Architecture: Build and optimize cloud-based data warehouses, data lakes, and data marts to support real-time and batch processing.
- System Integration: Integrate data from a variety of internal and external sources via APIs, webhooks, and database connections.
- Data Quality & Governance: Implement automated testing, validation,



and monitoring to ensure data accuracy, reliability, and security.
- Performance Tuning: Optimize query performance, database schemas, and data processing workflows for speed and efficiency.
- Cross-Team Collaboration: Partner with analytics, AI, and business teams to deliver clean, actionable datasets that meet business requirements.

Qualifications & Skills

Technical Requirements:

- Programming: Proficient in Python, Scala, or Java.
- SQL & Databases: Strong expertise in complex SQL queries, data modeling, and working with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases.
- Data Warehousing: Experience with cloud data platforms like Snowflake, Amazon Redshift, Google BigQuery, or Databricks.
- Big Data Frameworks: Familiarity with Apache Spark, Hadoop, Apache Flink, or Kafka for distributed data processing.
- Cloud Platforms: Hands-on experience with AWS, Azure, or Google Cloud Platform (GCP).
- Orchestration & DevOps: Experience with workflow tools like Apache Airflow or Prefect, along with CI/CD, Git, and containerization (Docker, Kubernetes).

📌 Data Engineer (India)
🏢 Job Directory-CyOpsPath
📍 India