Job DescriptionJob Purpose:
NDesign, 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.
NWho 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 N
- Prior experience working in software services, IT consulting, or agency environments, managing multiple client engagements N
- Strong proficiency in Python, SQL, and PySpark or Scala for large-scale data processing N
- 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) N
- Advanced experience working with modern data platforms such as Snowflake, Databricks, or Delta Lake N




- Strong expertise in designing and building scalable ETL/ELT pipelines and data transformation workflows N
- Experience with workflow orchestration tools such as Apache Airflow, dbt, or Prefect N
- Hands-on experience with real-time data streaming technologies like Apache Kafka or Spark Streaming N
- Good understanding of software engineering best practices, version control, testing, and CI/CD processes N
- Excellent communicationand stakeholder management skills with the ability to lead technical discussions and mentor engineering teams N

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

📌 Hiring: Lead Data Engineer (Ahmedabad)
🏢 Azilen Technologies
📍 Ahmedabad