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: Nn 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 NnWhat Will Excite Us:



Nn Experience designing enterprise-scale data platforms and modern cloud data architectures N Strong 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 N Experience optimizing data pipeline performance, scalability, reliability, and cost efficiency N Strong understanding ofdata governance, data quality, security, and performance optimization N Experience leading technical teams, conducting code reviews, and mentoring data engineers N Exposure to modern DataOps practices and automation frameworks N Ability to work across multiple client projects while ensuring high-quality delivery NnWhat Will Excite You: Nn Opportunity to architect and build large-scale cloud-native data platforms for global clients N Work with modern technologies including Databricks, Snowflake, Kafka, Airflow, and leading cloud ecosystems N Lead technical initiatives while mentoring and growing high-performing engineering teams N Solve complex data engineering challenges involving large-scale data processing and real-time analytics N Collaborate with cross-functional teams in a fast-paced, innovation-driven environment N Competitive compensation, continuous learning opportunities, and significant growth opportunities NnLocation: Ahmedabad (Work From Office)

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