
Cloud Data Architect
1 week ago
We are seeking a skilled Data Architect to design and develop robust ETL/ELT pipelines, build data warehouses and lakes, and collaborate with data scientists and analysts.
- Key Responsibilities:
- Design, develop, and maintain efficient ETL/ELT pipelines to collect, clean, transform, and load data from diverse sources.
- Create and optimize data warehouses and lakes using modern cloud platforms (e.g., GCP, AWS, Azure).
- Work with structured and unstructured data from various systems (databases, APIs, flat files, etc.).
- Collaborate with data scientists and analysts to prepare data for analytical models and dashboards.
- Monitor and improve pipeline performance, scalability, and reliability.
- Evaluate data quality, implement data governance, and ensure compliance across the data ecosystem.
- Automate data workflows, implement data versioning, and handle orchestration using tools like Apache Airflow or Cloud Composer.
- Document data sources, models, and pipelines for maintainability and transparency.
- Mandatory Skills:
- Proficiency in SQL and performance tuning for large-scale datasets.
- Strong programming skills in Python or Scala for data processing.
- Understanding of ETL/ELT processes and data modeling concepts.
- Experience with cloud data platforms such as:
- GCP (BigQuery, Cloud Storage, Dataflow)
- AWS (Redshift, S3, Glue)
- Azure (Data Factory, Synapse)
- Familiarity with tools like Apache Spark, Kafka, Informatica, or dbt.
As a Data Architect, you will have the opportunity to work on challenging projects, collaborate with cross-functional teams, and contribute to the growth and development of our organization.
You will be part of a dynamic and innovative team that values creativity, teamwork, and professional growth.
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