Job Purpose:

Design, build, and optimize scalable data engineering solutions that enable reliable, high-performance data platforms. Lead the development of modern data pipelines, cloud-native architectures, and data infrastructure while collaborating with cross-functional teams to deliver robust, client-focused data solutions.

Who You Are:
- 8+ years of experience in Data Engineering, with at least 2+ years in a Technical Lead or supervisory role
- Prior experience working in software services, IT consulting, or agency environments, managing multiple client engagements
- Strong proficiency in Python, SQL, and PySpark or Scala for large-scale data processing
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its data ecosystem (e.g., AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery)
- Advanced experience working with modern data platforms such as Snowflake, Databricks, or Delta Lake
- Strong expertise in designing and building scalable ETL/ELT pipelines and data transformation workflows




- Experience with workflow orchestration tools such as Apache Airflow, dbt, or Prefect
- Hands-on experience with real-time data streaming technologies like Apache Kafka or Spark Streaming
- Good understanding of software engineering best practices, version control, testing, and CI/CD processes
- Excellent communication and stakeholder management skills with the ability to lead technical discussions and mentor engineering teams

What Will Excite Us:
- Experience designing enterprise-scale data platforms and modern cloud data architectures
- Robust expertise in Databricks, Snowflake, or Delta Lake implementations
- Experience building real-time data pipelines using Kafka, Spark Streaming, or similar technologies
- Hands-on experience with DevOps and Infrastructure-as-Code tools such as Docker, Kubernetes, Terraform, GitHub Actions, Azure DevOps, or Jenkins
- Experience optimizing data pipeline performance, scalability, reliability,

📌 Lead Data Engineer (India)
🏢 Azilen Technologies
📍 India