| 100% Remote Lead Data Engineer with Data Modalling experience (Specialist)/any visa at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=587606&uid= Hi, Currently, I am recruiting candidates for one of my requirements as mentioned below. If you have a matching profile, please send me the updated resume along with contact details at the earliest. Job Title : Lead Data Engineer with Data Modalling experience (Specialist) Project Location: Remote Duration : 8 Months + Extension Job Details Required Skills Lead experience required Lead Data Engineer with Data Modalling experience (Specialist) Key Responsibilities Develop, design, and implement consumer data models based on business requirements and objectives. Collaborate with various stakeholders, such as business analysts, architects, and developers, to understand data needs and convert these needs into effective data models. Evaluate and optimize existing data models for improvement. Ensure that data models adhere to industry best practices, standards, and guidelines. Conduct data profiling and analysis to identify data quality issues and propose data cleansing and remediation strategies. Collaborate with database administrators to optimize database performance and maintain data integrity. Work closely with ETL developers to integrate data models into data integration processes. Stay updated on the latest trends and technologies in data modaling, cloud computing, and database design. Required Skills 8-10 years of experience in data modaling, database design, and implementation. Knowledge and experience with any one of data modaling tools such as ER/Studio, Erwin etc. Strong knowledge and hands-on experience with Snowflake, including schema design, data warehousing concepts, and performance optimization. Proficiency in SQL and data querying, with the ability to write complex queries and optimize SQL code. In-depth understanding of data modaling techniques, including dimensional modaling, star schema, and snowflake schema. Experience with cloud data services, AWS preferred Good-to-Have Skills Exposure to modern orchestration tools like Airflow/Oozie for data pipeline creation and parallel runs. Knowledge of the investment/asset management domain is beneficial. Understanding of DataOps and data observability tools is a plus. Kulwinder Singh // Sr. Technical Recruiter Office: 4132402192 Email: [email protected] Keywords: access management http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=587606&uid= |
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| 08:35 PM 30-Aug-23 |