Snowflake Developer
3 weeks ago
Experience: 58 years Location: Chennai/Bangalore/Hyderabad/Pune/mumbai
Key Responsibilities:
Data Integration: Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools. Support Data Modeling: Assist in developing and optimizing the data model for Snowflake ensuring it supports our analytics and reporting requirements. Data Pipeline Development: Design, build, and manage data pipelines for the ETL process using Airflow for orchestration and Python for scripting to transform raw data into a format suitable for our new Snowflake data model. Reporting Support: Collaborate with data architect to ensure the data within Snowflake is structured in a way that supports efficient and insightful reporting. Technical Documentation: Create and maintain comprehensive documentation of data pipelines, ETL processes, and data models to ensure best practices are followed and knowledge is shared within the team. Tools and Skillsets:
Data engineering: Proven track record of developing and maintaining data pipelines and data integration projects. Databases: Strong experience with Oracle, Snowflake, and Databricks. Data Integration Tools: Proficiency in using Kafka and CDC tools for data ingestion and synchronization. Orchestration Tools: Expertise in Airflow for managing data pipeline workflows. Programming: Advanced proficiency in Python and SQL for data processing tasks. Data Modeling: Understanding of data modeling principles and experience with data warehousing solutions. Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration. Collaboration Tools: Experience with version control systems (like Git) and collaboration platforms. CI/CD Implementation: Utilize CI/CD tools to automate the deployment of data pipelines and infrastructure changes.
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