Senior Snowflake Data Engineer

Senior Snowflake Data Engineer3

We are seeking an experienced Senior Snowflake Engineer to design, develop, and optimize scalable data solutions on the Snowflake platform. The ideal candidate will have strong expertise in data warehousing, ETL/ELT pipelines, and hands-on experience with Python and Apache Airflow for orchestration.

Key Responsibilities

Design and implement scalable data models and data warehouses using Snowflake

Develop and optimize complex SQL queries, stored procedures, and Snowflake pipelines

Build and maintain robust ETL/ELT pipelines using Python

Orchestrate workflows and automate data pipelines using Apache Airflow

Integrate data from multiple sources (APIs, databases, flat files, streaming sources)

Monitor, troubleshoot, and optimize data pipeline performance and cost in Snowflake

Implement data security, governance, and access control best practices

Collaborate with data analysts, data scientists, and business stakeholders

Ensure data quality, consistency, and reliability across systems

Document architecture, processes, and workflows

Required Skills & Qualifications

7+ years of hands-on experience in data engineering or big data development.

4+ years of experience working with snowflake

Strong experience with Snowflake Data Cloud

Advanced SQL skills (query optimization, performance tuning)

Proficiency in Python for data engineering tasks

Hands-on experience with Apache Airflow (DAGs, scheduling, monitoring)

Experience with ETL/ELT tools and data pipeline design

Knowledge of data warehousing concepts (star schema, snowflake schema, etc.)

Familiarity with cloud platforms such as AWS, Azure, or GCP

Experience with version control systems (Git)

Strong problem-solving and analytical skills

Preferred Qualifications

Experience with cloud-native data services (e.g., S3, Azure Data Lake, BigQuery)

Knowledge of CI/CD pipelines and DevOps practices

Experience with dbt (data build tool)

Understanding of data governance and security frameworks

Exposure to streaming technologies (Kafka, Kinesis)

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Nice to Have

Snowflake certifications

Experience working in Agile/Scrum environments

Exposure to machine learning pipelines

Key Competencies

Strong communication and stakeholder management skills

Ability to work independently and in a team

Attention to detail and commitment to data quality

Continuous learning mindset