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Evnek
Sr Data Engineer Snowflake
Evnek
Bengaluru•Remote•4-7 Yrs•2 days ago
Job description
Remote
Overview
Job Title: Data Engineer Experience: 4–12 Years Location: Remote Notice Period: Immediate joiner Job Summary We are seeking an experienced Data Engineer to design, develop, and maintain scalable, cloud-based data platforms for enterprise applications.
Responsibilities
- Design, build, and optimize scalable data pipelines for batch, streaming, and API-based data ingestion.
- Develop and maintain enterprise data platforms using Snowflake, ensuring high performance, governance, security, and efficient data sharing.
- Build and manage transformation workflows using dbt, including reusable models, testing, documentation, and data contracts.
- Develop scalable data processing solutions using Apache Spark, PySpark, and Databricks.
- Implement modern Lakehouse (Medallion) Architecture with Bronze, Silver, and Gold data layers.
- Design robust ingestion frameworks supporting CDC, batch, event-driven, and API integrations.
- Optimize complex SQL queries and large-scale data transformations for performance and reliability.
- Build orchestration workflows using Apache Airflow, Azure Data Factory, or equivalent tools.
- Implement data quality validation using Great Expectations, dbt tests, or similar frameworks.
- Develop CI/CD pipelines for data engineering workflows using Git and automated deployment practices.
- Collaborate with Data Scientists, AI Engineers, Business Analysts, and client stakeholders to deliver reliable and scalable data solutions.
- Support AI and GenAI initiatives by preparing high-quality datasets and enabling data pipelines for RAG-based applications.
- Strong hands-on experience with Snowflake, including architecture, performance tuning, data sharing, security, and governance.
- Expertise in Databricks, including Delta Lake, Spark, Unity Catalog, and notebooks.
- Production experience with dbt for data transformations, testing, documentation, and data contracts.
- Strong programming skills in Python, including PySpark, pandas, and custom data engineering frameworks.
- Extensive experience with Apache Spark for large-scale distributed data processing.
Qualifications
- Location: Remote
- Notice Period: Immediate joiner
- Job Summary
- Azure: Azure Data Factory (ADF), ADLS Gen2, Azure Databricks, Synapse Analytics
- Advanced SQL skills with expertise in query optimization and complex transformations.
- Strong understanding of Lakehouse/Medallion Architecture.
- Hands-on experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory.
- Required Technical Skills
- Strong hands-on experience with Snowflake (Mandatory)
- Advanced SQL programming
- Python
- dbt (Data Build Tool)
- Apache Airflow
- Data Modeling (Dimensional & Relational)
- ETL/ELT Pipeline Development
- Spark / PySpark
- Cloud Platforms: AWS, Azure, or Google Cloud Platform (GCP)
- Git and CI/CD practices