
Senior Data Solutions Developer
9 hours ago
Job Title: Data Architect
This role involves designing, developing, and optimizing scalable data pipelines and models to support informed decision-making. You will leverage modern data tools and collaborate with cross-functional teams to deliver high-quality data solutions.
Responsibilities:- Design and Implement Data Pipelines
You will be responsible for designing and implementing Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines using Python, SQL, and Airflow to ensure efficient and accurate data transfer.
Maintain Data Models and WarehousesYou will design and maintain data models and warehouses using Snowflake, Redshift, and ClickHouse to provide a robust and scalable data storage solution.
Integrate Data from Various SourcesYou will integrate data from APIs, databases, and cloud platforms like AWS, Azure, and GCP to provide a unified view of the data.
Optimize SQL Queries and Database PerformanceUsing your expertise in SQL and database performance tuning, you will optimize SQL queries and tune databases to ensure efficient data processing and retrieval.
Collaborate with Cross-Functional TeamsYou will work closely with analysts, scientists, and DevOps teams to deliver high-quality data solutions and mentor junior engineers to help them grow professionally.
Requirements:- 5-10 Years of Experience in Data Engineering
- Strong Expertise in Python, SQL, and Data Modeling
- Experience with Data Lakes, Warehouses, and Orchestration Tools
- Familiarity with Cloud Platforms
- Bonus: PySpark, Docker, CI/CD, and Monitoring Tools
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