Job Purpose:

Design, build, and optimize scalable data engineering solutions that enable reliable, high-performance data platforms. Lead the development of contemporary data pipelines, cloud-native architectures, and data infrastructure while collaborating with cross-functional teams to deliver robust, client-focused data solutions.

Who You Are:

8+ years of experience in Data Engineering, with at least 2+ years in a Technical Lead or supervisory rolePrior experience working in software services, IT consulting, or agency environments, managing multiple client engagementsStrong proficiency in Python, SQL, and PySpark or Scala for large-scale data processingHands-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)Advanced experience working with contemporary data platforms such as Snowflake, Databricks, or Delta LakeStrong expertise in designing and building scalable ETL/ELT pipelines and data transformation workflowsExperience with workflow orchestration tools such as Apache Airflow, dbt, or PrefectHands-on experience with real-time data streaming technologies like Apache Kafka or Spark StreamingGood understanding of software engineering best practices, version control, testing, and CI/CD processesExcellent communication and stakeholder management skills with the ability to lead technical discussions and mentor engineering teams

What Will Excite Us:





Experience designing enterprise-scale data platforms and modern cloud data architecturesStrong expertise in Databricks, Snowflake, or Delta Lake implementationsExperience building real-time data pipelines using Kafka, Spark Streaming, or similar technologiesHands-on experience with DevOps and Infrastructure-as-Code tools such as Docker, Kubernetes, Terraform, GitHub Actions, Azure DevOps, or JenkinsExperience optimizing data pipeline performance, scalability, reliability, and cost efficiencyStrong understanding of data governance, data quality, security, and performance optimizationExperience leading technical teams, conducting code reviews, and mentoring data engineersExposure to modern DataOps practices and automation frameworksAbility to work across multiple client projects while ensuring high-quality delivery

What Will Excite You:

Opportunity to architect and build large-scale cloud-native data platforms for global clientsWork with modern technologies including Databricks, Snowflake, Kafka, Airflow, and leading cloud ecosystemsLead technical initiatives while mentoring and growing high-performing engineering teamsSolve complex data engineering challenges involving large-scale data processing and real-time analyticsCollaborate with cross-functional teams in a fast-paced, innovation-driven environmentCompetitive compensation, continuous learning opportunities, and significant career growth

Location:

Ahmedabad (Work From Office)

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