Minimum Bachelors degree in computer science information technology or a similarly relevant field.
Minimum 5 years of data engineering experience preferred.
Minimum of 3 years of experience with OOP SQL schema designing data modeling designing building and maintaining data processing systems
Strong experience with advanced analytics tools for ObjectOriented/object function scripting using languages such as Python other big data technologies.
Strong ability to design build and manage data pipelines for data structures encompassing data transformation data models schemas metadata and workload management.
Ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
Database development experience using SQL SPARK PL/SQL and SnowSQL and experience with a variety of relational NoSQL oriented databases like Hadoop MongoDB.
Strong experience in data curation/aggregation/preparation using Azure Data lake Azure Data Factory DBT and distilling data into meaningful insights with handson expertise on Azure and Snowflake/Databricks
Experience with Snowflake warehouse and developing applications on Snowflake SnowSQL Snowpipe & Stored procedures
Experience with Informatica ETL products or IDMC is a plus
Extensive experience in triaging data issues analyzing endtoend data pipelines and working with business users in resolving issues.
Experience in working with data governance/data quality and data security teams and specifically data stewards and security officers in moving data pipelines into production with appropriate data quality governance and security standards and certification.
Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines.
Exposure to containerization using Docker Kubernetes etc.
Interpersonal skills:
An agile learner who brings strong problemsolving skills and enjoys working as part of a technical cross functional team to solve complex data problems
Able to prioritize and work on multiple projects and requests at any one time
Strong attention to detail when identifying data relationships trends and anomalies.
Thinking through longterm impacts of key design decisions and handling failure scenarios.
Excellent oral written and communication skills
Ability to effectively share technical information communicate technical issues and solutions to all levels of business
Ability to meet strict deadlines work on multiple tasks and work well under pressure
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