
Senior Data Architect
2 days ago
We are seeking a highly skilled Data Architect to lead the design, development, and optimization of large-scale data pipelines.
- Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.
- Develop and optimize big data processing jobs using PySpark.
- Integrate data from multiple sources into a unified data platform.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Perform data cleansing, transformation, and validation to ensure accuracy and reliability.
- Monitor, troubleshoot, and improve data pipeline performance.
- Implement best practices in data governance, security, and compliance.
- Work with cloud-based big data platforms (AWS, Azure, GCP) and distributed systems.
The ideal candidate will possess:
- Strong proficiency in Python programming for data engineering tasks.
- Hands-on experience with PySpark for big data processing.
- Solid understanding of data structures, algorithms, and distributed computing concepts.
- Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
- Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
- Familiarity with workflow orchestration tools (Airflow, Luigi, etc.).
- Experience working with cloud services for data engineering.
- Strong problem-solving and debugging skills.
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