Data Engineer - Snowflake DB (3-7 yrs)

Job Summary :

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have hands-on experience in designing, building, and maintaining scalable data pipelines and architectures using Snowflake, Python, and Databricks. This role requires a strong foundation in data engineering practices, cloud technologies, and advanced data processing workflows.

Key Responsibilities :

1. Data Pipeline Development :

- Design, develop, and optimize ETL/ELT processes to ingest, transform, and load large datasets into Snowflake.

- Automate data workflows using Databricks and Python.

2. Data Architecture & Modeling :

- Build and maintain scalable, reliable, and efficient data architectures for real-time and batch data processing.

- Develop data models and schemas in Snowflake to support business intelligence and analytics requirements.

3. Collaboration :

- Work closely with data analysts, data scientists, and business stakeholders to understand data needs and implement effective solutions.

- Collaborate with cross-functional teams to design data integration strategies and ensure data consistency across platforms.

4. Performance Optimization :

- Monitor and improve the performance of data pipelines and Snowflake environments to ensure seamless data accessibility.

- Implement best practices for data governance, security, and compliance.

5. Tool Integration :

- Leverage Databricks for advanced data transformations and machine learning pipelines.

- Integrate third-party APIs and tools for enhanced data processing capabilities.

Required Skills & Qualifications :Education : Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

Technical Expertise :

- Proficient in Snowflake architecture, data modeling, and performance optimization.

- Strong programming skills in Python, including libraries like Pandas, NumPy, and PySpark.

- Experience with Databricks for data engineering and analytics workflows.

- Solid understanding of SQL and database systems.

Cloud Experience : Familiarity with cloud platforms such as AWS, Azure, or GCP.

Data Workflow Tools : Experience with tools like Apache Airflow or other orchestration platforms is a plus.

Problem-Solving : Strong analytical and problem-solving skills with the ability to troubleshoot data issues effectively.

Preferred Qualifications :

- Knowledge of big data technologies (e.g., Hadoop, Spark).

- Experience with CI/CD pipelines for data deployment.

- Certification in Snowflake or Databricks is a plus.

Why Join Us?

- Opportunity to work on cutting-edge data technologies.

- Collaborative and innovative work environment.

- Competitive salary, benefits, and professional growth opportunities.