Found Description
Key Responsibilities
Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of structured and unstructured data.
Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver reliable data solutions.
Optimize data architecture for performance, reliability, and scalability.
Implement data quality checks and monitor data integrity throughout the pipeline.
Work with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, Kafka, etc.).
Manage and optimize databases and data warehouses (e.g., Redshift, BigQuery, Snowflake).
Develop automation tools for data ingestion, transformation, and integration.
Document data flows, architecture, and processes.
Ensure compliance with data governance and security policies.
Required Qualifications
Bachelor's degre...
Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of structured and unstructured data.
Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver reliable data solutions.
Optimize data architecture for performance, reliability, and scalability.
Implement data quality checks and monitor data integrity throughout the pipeline.
Work with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, Kafka, etc.).
Manage and optimize databases and data warehouses (e.g., Redshift, BigQuery, Snowflake).
Develop automation tools for data ingestion, transformation, and integration.
Document data flows, architecture, and processes.
Ensure compliance with data governance and security policies.
Required Qualifications
Bachelor's degre...
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