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Primary Responsibilities:
Strong understanding on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
Need to have working knowledge of MS Azure configuration items with respect to Snowflake.
Developing EL pipelines in and out of data warehouse using combination of Data bricks, Python and Snow SQL.
Developing scripts UNIX, Python etc. to Extract, Load and Transform data, and T-SQL as well as other utility functions.
Provide production support for Data Warehouse issues such data load problems, transformation translation problems
Translate mapping specifications to data transformation design and development strategies and code, incorporating standards and best practices for optimal execution.
Understanding data pipelines and modern ways of automating data pipeline using cloud based testing and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions.
Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.
Basic Qualifications:
Minimum 8 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.
Including hands on experience with productionized data ingestion and processing pipelines using Python, Data bricks, Snow SQL, MS SQL and T-SQL.
Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies.
Excellent presentation and communication skills, both written and verbal, ability to problem solve and design in an environment with unclear requirements.
Good to Have:
We can offer you:
Full Time
$107k-141k (estimate)
04/18/2024
04/28/2024
emonics.com
Jersey City, NJ
25 - 50
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Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
03/09/2022: Billings, MT
The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
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Create architecture for real-time, big data applications with minimal maintenance effort.
03/23/2022: Benton Harbor, MI
Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
01/22/2022: Greenville, MS
Provides successful deployment and provisioning of data solutions to production or other required environments.
01/12/2022: Dothan, AL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
02/06/2022: Providence, RI
Earn a bachelor’s degree related to data engineering and begin working on projects.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
01/02/2022: New York, NY
Step 3: View the best colleges and universities for Senior Data Engineer.