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• Proficiency in Python, Spark, Java, SQL, DataOps.live/DBT, Snowflake
• Prior experience supporting Data Governance initiatives desired: Data Quality, Metadata Management (Data Cataloging, Data Lineage), Master Data Management, Data Security
• Proficiency in other software engineering languages and/or methodologies
• Strong knowledge of working Unix Shell scripting
• Provide ongoing support for the existing ETL processes, procedures, as well as the ability to design, code and deploy new ETL packages to support application and business needs.
• Develop an effective working relationship with Data Analysts, Business Analysts, Database Administrators, and others in designing, developing, and implementing robust data movement solutions.
• Demonstrate the ability to translate business rules into ETL code while adhering to best ETL development and design practices.
• Demonstrate proficiency in SQL language, as well as working knowledge of common transformation methodologies, techniques, and tools.
• Must be able to remain in a stationary position at least 50% of the time.
Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.
Minimum/Essential Qualifications:
• Undergraduate degree with 10 years of Data Engineering experience with specific ETL Tools (e.g., DBT, Informatica, Data Stage, etc.) or big data stack
• Experience in leading, hiring, developing, and building data engineering team and providing them technical direction.
• Experience working with cloud technologies like Snowflake on Microsoft Azure, Amazon AWS or Google GCP
• Experience in reviewing and building dimensional data models to improve accessibility, efficiency and quality of data.
• Experience in building high quality applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
• Experience working with Business Stakeholders to understand requirements and ability to translate them into scalable and sustainable solutions.
• Should be proficient in writing Advanced SQLs, expertise in performance tuning of SQLs in Snowflake.
• Demonstrate good understanding of development processes and agile methodologies.
• Demonstrate honesty, integrity, and professionalism at all times.
• Excellent communication, customer service, and problem-solving skills
• Exercise self-control under trying or tough circumstances, situations, or under any kind of pressure
• Actively exchange ideas with others and build on their ideas to identify new solutions.
• Outstanding planning & Organizational skills
• Able to work independently or collaboratively and maintain a positive attitude.
Full Time
$102k-128k (estimate)
04/29/2024
05/16/2024
concordnow.com
SAN FRANCISCO, CA
50 - 100
2014
Private
$5M - $10M
IT Outsourcing & Consulting
Concord develops a cloud-based contract management platform that provides electronic signature and online negotiation solutions for businesses.
The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
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.
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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.
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Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
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Provides successful deployment and provisioning of data solutions to production or other required environments.
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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.