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Key Responsibilities:

Design, develop, and maintain scalable data pipelines and ETL processes.
Utilize Erwin for data modeling and to ensure data quality and integrity.
Implement and manage Snowflake Cloud data warehouses to support data storage, retrieval, and analysis.
Apply DataVault 2.0 methodology for efficient data integration and historical data tracking.
Write and optimize SQL queries to extract, transform, and load data.
Develop Python scripts and applications for data processing and automation tasks.
Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
Monitor and troubleshoot data pipelines and systems to ensure data accuracy and availability.
Stay up-to-date with industry trends and best practices in data engineering and cloud technologies.
Required Skills and Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Data Engineer or in a similar role.
Proficiency in data modeling using Erwin.
Strong experience with Snowflake Cloud, including database design and optimization.
In-depth knowledge of DataVault 2.0 methodology.
Advanced SQL skills for data manipulation and query optimization.
Proficient in Python for data processing and automation.
Experience with ETL tools and processes.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Ability to work independently and in a team-oriented environment.
Preferred Qualifications:

Experience with other cloud platforms and services (e.g., AWS, Azure, Google Cloud).
Knowledge of additional programming languages (e.g., Java, Scala).
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Certification in Snowflake or other relevant technologies.
Reference : Data Analyst jobs

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Published at 03-08-2024
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