[Hiring] Snowflake Data Engineer @Sparix Global.

Role Description

We are looking for an experienced Snowflake Data Engineer with strong expertise in Snowflake, SQL, Python, ETL/ELT pipelines, and cloud-based data integration. The role involves designing, developing, and optimizing scalable data solutions, ensuring data quality, and supporting data science and machine learning initiatives. The engineer will work closely with data engineers, data scientists, analysts, architects, and business stakeholders, participate in code reviews and technical discussions, follow Agile practices, and maintain documentation, data governance, and security standards. The ideal candidate has 5-10 years of experience in Data Engineering, Data Science, Analytics, or a related field.

Qualifications

• 5-10 years of experience in Data Engineering, Data Science, Analytics, or a related field
• Strong hands-on experience with Snowflake and its data engineering capabilities
• Strong proficiency in SQL, including complex query development and optimization
• Hands-on experience with Python for data processing and automation
• Experience designing, developing, and maintaining ETL/ELT pipelines
• Good understanding of data warehousing and data modelling concepts
• Experience working with at least one of AWS, Azure, or GCP
• Understanding of data cleansing, transformation, exploratory analysis, statistical analysis, and feature engineering
• Understanding of data science, statistical analysis, and machine learning concepts
• Experience with Git or other version-control systems
• Strong analytical, troubleshooting, and problem-solving skills
• Good communication and collaboration skills

Requirements

• Design, develop, and maintain data solutions using Snowflake
• Write, optimize, and maintain complex SQL queries, views, stored procedures, and data transformation processes
• Develop and maintain ETL/ELT pipelines to ingest and transform data from multiple sources
• Work with Snowflake features such as Snowpipe, Streams, Tasks, Time Travel, and Zero-Copy Cloning
• Monitor and optimize Snowflake queries and workloads for performance and cost efficiency
• Troubleshoot data pipeline issues and perform data validation to maintain data quality
• Collaborate with data scientists, analysts, and business teams to understand data requirements
• Perform data cleansing, preparation, transformation, and exploratory analysis
• Prepare datasets and develop data pipelines to support data science and machine learning initiatives
• Apply statistical and analytical techniques to identify patterns and generate insights
• Support feature engineering and data preparation for machine learning models
• Develop Python scripts for data processing, extraction, transformation, validation, and automation
• Build reusable utilities to streamline data engineering and data quality activities
• Automate repetitive data processing and validation tasks
• Integrate Python-based solutions with Snowflake and other data platforms
• Integrate Snowflake with databases, APIs, files, and other enterprise data sources
• Develop reliable data ingestion and integration processes using cloud platforms such as AWS, Azure, or GCP
• Work with data orchestration and integration tools as required
• Ensure data accuracy, completeness, consistency, and reliability
• Follow established data security, governance, and access-control standards
• Maintain data documentation, metadata, and data lineage
• Collaborate with data engineers, data scientists, analysts, architects, and business stakeholders
• Participate in technical discussions, code reviews, testing, and troubleshooting
• Document data solutions, processes, and technical implementations
• Follow Agile development practices and contribute to continuous improvement initiatives

Benefits

• Competitive salary
• Remote work flexibility
• Opportunities for professional development
• Health and wellness programs

Preferred (Bonus) Skills

• Snowflake certification, preferably SnowPro Core
• Experience with dbt, Apache Airflow, Azure Data Factory, Informatica, or Databricks
• Experience with Snowpark and Python
• Exposure to machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
• Experience with data visualization tools such as Power BI or Tableau