Job Description

Job Purpose:

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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.

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Who You Are:

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- 8+ years of experience in Data Engineering, with at least 2+ years in a Technical Lead or supervisory role
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- Prior experience working in software services, IT consulting, or agency environments, managing multiple client engagements
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- Strong proficiency in Python, SQL, and PySpark or Scala for large-scale data processing
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- 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)
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- Advanced experience working with modern data platforms such as Snowflake, Databricks, or Delta Lake
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- Strong expertise in designing and building scalable ETL/ELT pipelines and data transformation workflows
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- Experience with workflow orchestration tools such as Apache Airflow, dbt, or Prefect
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- Hands-on experience with real-time data streaming technologies like Apache Kafka or Spark Streaming
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- Positive understanding of software engineering best practices, version control, testing, and CI/CD processes
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- Excellent communication and stakeholder management skills with the ability to lead technical discussions and mentor engineering teams
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What Will Excite Us:

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- Experience designing enterprise-scale data platforms and modern cloud data architectures
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- Strong expertise in Databricks, Snowflake, or Delta Lake implementations
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- Experience building real-time data pipelines using Kafka, Spark Streaming, or similar technologies
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- Hands-on experience with DevOps and Infrastructure-as-Code tools such as Docker, Kubernetes, Terraform, GitHub Action

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