Posted:3 months ago|
Platform:
Remote
Full Time
Role & responsibilities : Understand the values and vision of the organization Protect the Intellectual Property Adhere to all the policies and procedures Design, develop, and maintain scalable data pipelines for data ingestion, processing and storage. Build and optimize data architectures and data models for efficient data storage and retrieval. Develop ETL processes to transform and load data from various sources into data warehouses and data lakes. Ensure data integrity, quality, and security across all data systems. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance. Document data processes, architectures, and data flow diagrams. Implement and maintain data integration solutions using industry-standard tools and technologies (e.g., Apache Spark, Kafka, Airflow). Preferred candidate profile : Expertise on Data Integration, processing & Storage. Expertise on Data optimization architecture, data process and data flow. Knowledge of Data integration tools like Apache Spark, Kafka & Airflow. Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data services. Experience with data visualization tools (e.g., Tableau, Power BI). Other Relevant Information : Bachelors degree in Computer Science, Information Technology, or a related field. Minimum 3 years of experience in data engineering & architecture
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