Client: Corover.ai

Hiring: Data Engineering Lead

Experience: 8–12 years

Educational Qualification
B.Tech./M.Tech./M.S. in Computer Science, Data Engineering, or a related field.

Mandatory Experience
8–12 years in data engineering or data platform architecture.
At least 4–5 years designing and managing large-scale data pipelines.
5–7 years designing and implementing enterprise data architectures for analytics and AI/ML.
Experience working with structured, semi-structured, and unstructured data.

Mandatory Technical Skills
Cloud services: AWS Redshift, Glue, S3; Azure Synapse; GCP BigQuery and Dataflow.
Big data: Apache Spark, Hadoop, Kafka, Airflow, Databricks, Snowflake, and dbt.
Programming: Python, Scala, Java, and SQL.
Databases: PostgreSQL, MongoDB, Cassandra, and Elasticsearch.
Data management: ETL/ELT design, schema evolution, DataOps, and CI/CD pipelines.
Infrastructure: Docker, Kubernetes, Terraform, and Jenkins.
Governance: Data cataloguing, lineage, access control, encryption, and compliance logging.

Key Responsibilities
Architect scalable data pipelines for AI/ML models and analytical workloads.
Design data lakes and data warehouses.
Build batch and real-time data ingestion frameworks.
Implement metadata management, lineage tracking, and data governance.




Optimize data storage, compression, retrieval, and pipeline performance.
Ensure high-quality, versioned datasets and compliance with applicable data privacy and retention policies.

Preferred: AWS, Azure, or GCP data platform certifications.

Pay: ₹2,300,000.00 - ₹3,800,000.00 per year

Application Question(s):
How many years of overall experience do you have in Data Engineering?
How many years of experience do you have designing and managing large-scale data pipelines?
Do you have experience designing enterprise data architectures for analytics and AI/ML workloads?
Which cloud data platforms have you worked with?
Do you have hands-on experience with Apache Spark, Kafka, Airflow, Databricks, Snowflake, or dbt?
Are you proficient in Python and SQL for data engineering?
Do you have experience designing data lakes, data warehouses, and batch/real-time data pipelines?
Do you have experience with ETL/ELT, DataOps, and CI/CD pipelines?
Do you have experience implementing data governance, data lineage, security, and access controls?
Have you led a data engineering team?
Current CTC
Expected CTC
How soon can you join?

Work Location: In person

📌 Data Engineering Lead Delhi (India)
🏢 Spinode Technologies
📍 India