Expert in Data Engineering & Analytics Needed
Budget: $1,500 – $3,000 USD
We are seeking an experienced Data Engineering & Data Analytics Specialist to support the design, development, and optimization of modern data pipelines and analytics solutions.
- Scope of Work
Design, build, and maintain scalable ETL/ELT data pipelines
Develop and optimize data models for analytics and reporting
Work with cloud data platforms (AWS, Azure, or GCP)
Implement data validation, quality checks, and monitoring
Build dashboards and actionable insights using BI tools
Collaborate on performance tuning and data architecture improvements
- Required Skills
Strong experience with SQL and Python
Expertise in modern data stack tools (e.g., Snowflake, BigQuery, Redshift, Databricks)
Hands-on experience with orchestration tools (Airflow or similar)
Experience with dbt or data transformation frameworks
Knowledge of cloud platforms (AWS/Azure/GCP)
Strong analytical thinking and problem-solving skills
- Nice to Have
Experience with real-time data processing (Kafka, streaming frameworks)
Experience with machine learning pipelines
Strong dashboarding skills (Tableau, Power BI, Looker)
- Engagement Details
Remote work
Flexible hours
Project-based with potential for long-term collaboration
If you are passionate about building reliable data systems and delivering actionable insights, we’d love to hear from you. Please share your portfolio, relevant project experience, and availability.
- Scope of Work
Design, build, and maintain scalable ETL/ELT data pipelines
Develop and optimize data models for analytics and reporting
Work with cloud data platforms (AWS, Azure, or GCP)
Implement data validation, quality checks, and monitoring
Build dashboards and actionable insights using BI tools
Collaborate on performance tuning and data architecture improvements
- Required Skills
Strong experience with SQL and Python
Expertise in modern data stack tools (e.g., Snowflake, BigQuery, Redshift, Databricks)
Hands-on experience with orchestration tools (Airflow or similar)
Experience with dbt or data transformation frameworks
Knowledge of cloud platforms (AWS/Azure/GCP)
Strong analytical thinking and problem-solving skills
- Nice to Have
Experience with real-time data processing (Kafka, streaming frameworks)
Experience with machine learning pipelines
Strong dashboarding skills (Tableau, Power BI, Looker)
- Engagement Details
Remote work
Flexible hours
Project-based with potential for long-term collaboration
If you are passionate about building reliable data systems and delivering actionable insights, we’d love to hear from you. Please share your portfolio, relevant project experience, and availability.
Related categories:
Python
SQL
Azure
Data Mining
Big Data Sales
Artificial Intelligence
Data Analytics
ETL
Data Modeling
Snowflake