Snowflake Data Engineer

6 days ago

Bengaluru, India Trivine Technology Solutions LLC Full time
Company Description
Trivine Technology Solutions LLC is a Digital Engineering and Transformation company based in Bengaluru. We specialize in strategy, design, and development, striving to be the trusted business and technology solutions provider for our clients.
Role Description
We are seeking a skilled Snowflake Data Engineer to design, build, and maintain our Snowflake-centric data infrastructure. This role focuses on leveraging Snowflake's cloud-native capabilities to enable seamless data integration, storage, and analysis. As a Snowflake Data Engineer, you will work closely with data scientists, analysts, and business stakeholders to create high-quality data pipelines and architectures that support our organization’s data-driven initiatives.
The ideal candidate has a strong background in data engineering, advanced SQL skills, and hands-on experience with Snowflake. You will play a critical role in optimizing Snowflake workflows, ensuring data quality, and delivering scalable, efficient solutions tailored to the organization's analytical needs.
Key Responsibilities:
Snowflake Pipeline Development:
Design, build, and maintain scalable data pipelines within Snowflake for Extract, Transform, and Load (ETL) processes.
Leverage Snowflake-specific features like Snowpipe, Streams, and Tasks to enable real-time and batch data processing.
Ensure data accuracy and reliability through robust validation and transformation processes in Snowflake.
Snowflake Data Architecture & Modeling:
Design and implement optimized Snowflake data models (e.g., Star Schema, Snowflake Schema) to facilitate efficient querying and analytics.
Utilize Snowflake's unique features, such as time travel, zero-copy cloning, and materialized views, to enhance data architecture.
Work with data scientists and analysts to create data structures that align with analytical and reporting requirements.
Performance Optimization:
Monitor and optimize Snowflake performance, including query tuning, warehouse resizing, and auto-scaling.
Implement cost-efficient data storage and processing strategies, leveraging Snowflake's elastic compute capabilities.
Troubleshoot and resolve performance issues in Snowflake workflows.
Cloud Integration:
Integrate Snowflake with cloud platforms (AWS, Azure, GCP) and services (e.g., S3, GCS, Azure Blob Storage) for seamless data ingestion.
Work with distributed computing tools to handle large datasets and enable advanced analytics in Snowflake.
Develop data lake solutions that leverage Snowflake's ability to process semi-structured data like JSON and Parquet.
Data Integration:
Build pipelines to integrate data from APIs, third-party providers, and internal systems into Snowflake.
Create and manage secure APIs for data access and sharing across teams.
Develop Snowflake-based solutions for real-time and batch data processing needs.
Data Governance & Quality:
Implement governance policies in Snowflake, including role-based access control (RBAC) and data masking for sensitive information.
Set up automated data validation checks using Snowflake and orchestration tools like Apache Airflow or dbt.
Ensure compliance with data privacy regulations such as GDPR and CCPA within the Snowflake environment.
Collaboration & Documentation:
Collaborate with data scientists and analysts to ensure Snowflake solutions meet their needs.
Document Snowflake workflows, data architectures, and best practices for team reference and training.
Provide support and troubleshoot issues related to Snowflake data pipelines and processes.
Qualifications:
Education & Experience:
Bachelor’s degree in Computer Science, Data Engineering, or related field (Master’s preferred).
3+ years of hands-on experience with Snowflake, including data modeling, pipeline development, and performance tuning.
Strong experience with cloud platforms (AWS, GCP, or Azure) and integrating Snowflake with these ecosystems.
Proven track record of designing and implementing scalable Snowflake solutions.
Technical Skills:
Expertise in SQL and Snowflake-specific features like SnowSQL, Snowpipe, Streams, and Tasks.
Experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt).
Familiarity with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Knowledge of version control systems like Git and collaborative coding best practices.
Proficiency in programming languages such as Python, Scala, or Java for data engineering tasks.
Preferred Skills:
Experience with machine learning pipelines and integrating Snowflake with AI/ML frameworks.
Familiarity with big data tools like Apache Spark or Hadoop and their integration with Snowflake.
Knowledge of data visualization tools like Tableau or Power BI.
Hands-on experience with containerization tools like Docker and orchestration platforms like Kubernetes.
Personal Attributes:
Strong analytical and problem-solving skills, with a focus on delivering scalable and efficient Snowflake solutions.
Excellent communication skills to interact with technical and non-technical stakeholders.
Self-motivated, detail-oriented, and capable of managing multiple projects in a fast-paced environment.
Collaborative team player who values knowledge sharing and continuous learning.

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