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Data Engineer
$122k-151k (estimate)
Full Time | Wholesale 2 Weeks Ago
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ATR International, Inc. is Hiring a Data Engineer Near San Diego, CA

Job Details

Job Description:
We are seeking a Data Engineer for a very important client
As a Data Engineer at the Company you will play a pivotal role in shaping and implementing robust data architecture while constructing efficient data pipelines aligned with our organizational goals This position supports various business functions, including Supply Chain, Finance, Sales & Marketing, and other corporate areas The ideal candidate will possess a deep understanding of data architecture principles, data discovery/modeling, and the seamless integration of emerging technologies into a cohesive data ecosystem that fosters innovation, operational excellence, and strategic insights.
Principal Duties and Responsibilities:
Collaborate with cross-functional and global teams to comprehend business requirements and translate them into effective solutions.
Design and manage resilient, scalable data models and architectures that cater to the evolving needs of the business, emphasizing efficiency, quality, and security.
Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
Facilitate communication within and outside the project team to resolve conflicts related to implementation schedules, design complexities, and other challenges.
Requirement:
Good to have qualifications
Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes
Familiarity with Informatica Cloud and Informatica Power Center is essential.
Strong expertise in data modeling tools and methodologies, encompassing both structured and unstructured data environments.
Demonstrated experience in data governance, data quality management, and data security practices.
Exceptional analytical and problem-solving skills, enabling the translation of intricate technical challenges into actionable solutions.
Ability to quickly learn and adapt to new technologies.
Strong sense of ownership and growth mindset.
Curiosity about the problem domain and an analytical approach.
Strong influence skills to drive business adoption and change.
Experience in data discovery of source systems like Oracle E-Business Suite and Salesforce is preferable.
Top 5 Required Skills
1 AWS
2 Data Engineering
3 SQL
4 Python
5 Informatica
Technologies (specific tools and/or programs you would want to see on their resumes)
AWS, Redshift, Apache Airflow, Glue, Python, Informatica, Snowflake, IICS, ERP, Salesforce
Keywords (specific words, projects, programs you would want to see on their resumes)
AWS, Redshift, Apache Airflow, Glue, Python, Informatica, Snowflake, IICS, ERP, Salesforce
Data discovery, modeling, engineering, pipeline, data warehouse
Education Requirement
Bachelor of Science in Computer Science, Information Technology, Data Science, or a related field.
Required Years of Experience
3 years min

Job Summary

JOB TYPE

Full Time

INDUSTRY

Wholesale

SALARY

$122k-151k (estimate)

POST DATE

05/09/2024

EXPIRATION DATE

05/11/2024

WEBSITE

atrinternational.com

HEADQUARTERS

MONDONVILLE, OCCITANIE

SIZE

1,000 - 3,000

FOUNDED

1988

CEO

GIOVANNI TRAMPARULLO

REVENUE

$200M - $500M

INDUSTRY

Wholesale

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If you are interested in becoming a 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 Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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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 Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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