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CodeMax Consulting, LLC is Hiring a Remote Senior Data Engineer
Job Details
- Design, construct, install, test, and maintain highly scalable data management systems on Azure and AWS, utilizing services such as Azure Data Lake, Azure Data Factory, AWS S3, and AWS Glue.
- Integrate new data management technologies and software engineering tools into existing structures, focusing on Azure and AWS ecosystems.
- Utilize Azure Databricks and AWS EMR for big data processing tasks to create data set processes for data modeling, mining, and production.
- Develop analytics applications using Azure Synapse Analytics and AWS Redshift to leverage the data pipeline, providing actionable insights into key business performance metrics.
- Collaborate with stakeholders across the Executive, Product, Data, and Design teams to support their data infrastructure needs, using Azure and AWS cloud services.
- Implement data security and compliance procedures using Azure Security Center and AWS Identity and Access Management (IAM).
- Evaluate and improve existing systems, incorporating new technologies and software engineering tools available in Azure and AWS ecosystems.
- Monitor analytics and metrics results using tools like Azure Monitor and AWS CloudWatch.
- Implement systems for tracking data quality and consistency using Azure and AWS services, ensuring data integrity across the pipeline.
- Automate data workflows and pipeline processes using Azure Logic Apps and AWS Step Functions, integrating with Apache Airflow for orchestration.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Proven experience as a Data Engineer or similar role, with a deep understanding of Azure and AWS cloud services relevant to data engineering (e.g., Azure Data Lake, Azure Data Factory, AWS S3, AWS Glue).
- Expertise in SQL and programming languages, especially Python, for data manipulation and analysis.
- Strong experience with big data tools such as Apache Spark and Hadoop.
- Proficiency in data pipeline and workflow management tools, particularly Apache Airflow.
- Experience with data modeling, data warehousing, and building ETL pipelines in both Azure (using Azure Data Factory, Azure Databricks) and AWS environments (using AWS Glue, AWS Data Pipeline).
- Knowledge of stream-processing systems (e.g., Apache Kafka, Azure Stream Analytics, Amazon Kinesis) is a plus.
- Familiarity with machine learning algorithms and data science principles is beneficial.
- Strong problem-solving skills and ability to project manage and multitask.
- Excellent communication and teamwork skills, with an ability to navigate and negotiate with stakeholders across the organization.
Job Summary
Full Time
$94k-119k (estimate)
04/05/2024
06/04/2024
The job skills required for Senior Data Engineer include Problem Solving, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.
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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.
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.
01/05/2022: Melbourne, FL
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.
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