Job Description & How to Apply Below
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 Big Query)
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 Dev Ops and Infrastructure-as-Code tools such as Docker, Kubernetes, Terraform, Git Hub Actions, Azure Dev Ops, 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 Data Ops 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)
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