Job Purpose: /n /n 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. /n /n Who You Are: /n /n /n

- 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

- Robust 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 communication and stakeholder management skills with the ability to lead technical discussions and mentor engineering teams

/n /n /n What Will Excite Us: /n /n /n





- 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 of data 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

/n /n /n What Will Excite You: /n /n /n

- 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 career growth

/n /n /n Location: Ahmedabad (Work From Office)

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