Data Engineer / Data Slinger

Job Summary

We are looking for a highly skilled

Data Engineer / Data Slinger

to build, optimize, and maintain scalable data pipelines and analytical data models. The ideal candidate should have strong expertise in

Snowflake, Power BI, Python, Advanced Excel, and Data Modeling

with the ability to transform raw data into actionable business insights.

You will work closely with business stakeholders, analysts, and engineering teams to develop robust data solutions that support reporting, analytics, and decision-making.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data warehouses using Snowflake.
• Develop interactive dashboards and reports using Power BI.
• Perform data extraction, transformation, cleansing, and validation using Python.
• Create and maintain dimensional data models using Star Schema and Snowflake Schema.
• Analyze large datasets to identify trends and deliver business insights.
• Optimize SQL queries for performance and scalability.
• Work with stakeholders to understand reporting and analytics requirements.
• Automate recurring data processing and reporting tasks.
• Ensure data quality, governance, and documentation across data assets.
• Troubleshoot data issues and implement continuous improvements.

Required SkillsTechnical Skills

• Strong experience with Snowflake Data Warehouse
• Hands-on experience with Power BI (Reports, Dashboards, DAX, Power Query)
• Proficiency in Python for data engineering and automation
• Advanced knowledge of Microsoft Excel (Pivot Tables, Power Query, Power Pivot, Advanced Formulas, VBA is a plus)
• Strong SQL skills
• Expertise in Data Modeling

+ Star Schema

+ Snowflake Schema

+ Fact \& Dimension Tables

• ETL/ELT development experience
• Data cleansing and transformation techniques
• Performance tuning and query optimization

Good to Have

• Azure Data Factory or AWS Data Services
• dbt
• Apache Airflow
• Git/GitHub
• CI/CD pipelines
• Knowledge of data governance and security best practices

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
• 3–7 years of experience in Data Engineering or Business Intelligence.

Preferred Competencies

• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management
• Ability to work in Agile environments
• Attention to detail and data accuracy
• Ability to manage multiple priorities

Mandatory Skills

• Power BI
• Snowflake
• Python
• Advanced Excel
• SQL
• Data Modeling
• Star Schema
• Snowflake Schema

Nice to Have

• Azure Data Factory
• dbt
• Airflow
• Git
• CI/CD
• Cloud Data Platforms (Azure/AWS)

Skills: data,snowflake,power bi,python,data modeling,schema,azure