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 rolen
Prior experience working in software services, IT consulting, or agency environments, managing multiple client engagementsn
Robust proficiency in Python, SQL, and PySpark or Scala for large-scale data processingn
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 Laken
Robust expertise in designing and building scalable ETL/ELT pipelines and data transformation workflowsn




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

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

📌 Lead Data Engineer Sabarmati River
🏢 Azilen Technologies
📍 Sabarmati River