Job Purpose:
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.
Who You Are:
- 8+ years of experience in Data Engineering, with at least 2+ years in a Technical Lead or supervisory role
- Prior experience working in software services, IT consulting, or agency environments, managing multiple client engagements
- Strong proficiency in Python, SQL, and PySpark or Scala for large-scale data processing
- 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)
- Advanced experience working with modern data platforms such as Snowflake, Databricks, or Delta Lake
- Strong expertise in designing and building scalable ETL/ELT pipelines and data transformation workflows
- Experience with workflow orchestration tools such as Apache Airflow, dbt, or Prefect
- Hands-on experience with real-time data streaming technologies like Apache Kafka or Spark Streaming
- Good understanding of software engineering best practices, version control, testing, and CI/CD processes
- Excellent 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 architectures
- Strong expertise in Databricks, Snowflake, or Delta Lake implementations
- Experience building real-time data pipelines using Kafka, Spark Streaming, or similar technologies
- Hands-on experience with DevOps and Infrastructure-as-Code tools such as Docker, Kubernetes, Terraform, GitHub Actions, Azure DevOps, or Jenkins
- Experience optimizing data pipeline performance, scalability, reliability, and cost efficiency
- Strong understanding of data governance, data quality, security, and performance optimization
- Experience leading technical teams, conducting code reviews, and mentoring data engineers
- Exposure to modern DataOps practices and automation frameworks
- Ability 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 clients
- Work with modern technologies including Databricks, Snowflake, Kafka, Airflow, and leading cloud ecosystems
- Lead technical initiatives while mentoring and growing high-performing engineering teams
- Solve complex data engineering challenges involving large-scale data processing and real-time analytics
- Collaborate with cross-functional teams in a fast-paced, innovation-driven environment
- Competitive compensation, continuous learning opportunities, and significant career growth
Location: Ahmedabad (Work From Office)
