26 days ago
Pune, IndiaSenior
Responsibilities
- Serve as the technical leader for data engineering initiatives.
- Design, develop, and maintain scalable pipelines for structured, semi-structured, and unstructured data.
- Build ETL/ELT solutions across cloud data platforms, warehouses, lakehouses, and analytics environments.
- Develop reliable data integration frameworks and dimensional data models.
- Translate business requirements into scalable technical solutions with architects and stakeholders.
- Apply data quality, testing, monitoring, lineage, governance, security, and observability practices.
- Optimize data platforms and pipelines for performance, scalability, reliability, and cost efficiency.
- Support modernization of legacy data platforms, warehouses, and integration technologies.
- Implement source control, automated testing, deployment automation, and CI/CD processes.
- Troubleshoot complex technical issues and contribute to architecture reviews and continuous improvement.
Requirements
- 6+ years of experience in Data Engineering, Data Integration, Analytics Engineering, Software Engineering, or a related technical discipline.
- Strong experience building and supporting production-grade ETL/ELT pipelines and data integration solutions.
- Advanced SQL skills, including query optimization, performance tuning, and data modeling.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience developing data solutions with Python, Scala, Java, or similar programming languages.
- Experience with cloud data platforms, data warehouses, lakehouses, and modern analytics environments.
- Experience with distributed data processing technologies such as Spark or equivalent frameworks.
- Experience with Microsoft Fabric, Databricks, Snowflake, BigQuery, Redshift, or similar platforms.
- Familiarity with Git-based development workflows and CI/CD practices.
- Understanding of data quality, governance, lineage, security, and observability concepts.
- Preferred experience includes production implementations with Microsoft Fabric, Databricks, and Snowflake; lakehouse architectures; dbt; Azure Data Services; data warehouse modernization; machine learning or AI initiatives; semantic modeling; data products; metadata management; and data lineage solutions.
- Strong communication, analytical, troubleshooting, problem-solving, adaptability, and learning skills.
Tech Stack
Amazon RedshiftApache SparkAWSAzureDatabricksdbtGitGoogle BigQueryGoogle Cloud PlatformJavaPythonScalaSnowflakeSQL
Categories
Data Engineering
About Netrio
Netrio is a managed service and managed security provider for small to mid‑market enterprises, delivering managed IT infrastructure, cybersecurity, cloud services, NOCaaS, connectivity and voice, SD‑WAN, and custom application development. It operates on a services and subscription model, including outsourced NOC and helpdesk, and supports customers across North America. Founded in 2003 and privately held, Netrio is headquartered in McKinney, Texas, with additional offices in New York, Minnesota, and Northern Ireland.