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URGGENT RI\\OLE;;Data Engineer at Remote, Remote, USA
Email: [email protected]
From:

janhavi singh,

TEK INSPIRATIONS

[email protected]

Reply to:   [email protected]

Hi,

Hope you are doing great.

Please let me know if you find the new below position as well

Data Engineer

 Denver, CO (Hybrid)

6 Months C2H

Visa: USC, GC & GC-EAD

Skype

Need Someone Local to "CO"

Minimum of 2 years of experience in data engineering, with a focus on SQL and

Python.

Responsibilities: 

Develop and maintain robust, scalable, and efficient data pipelines using

SQL/Python/Spark, primarily within the AWS Cloud Infrastructure

Design and implement data models and architectures to support data processing,

analysis, and reporting needs.

Collaborate with cross-functional teams to understand data requirements and

translate them into technical solutions.

Optimize and tune data pipelines and queries for improved performance and

reliability.

Ensure data quality and integrity through rigorous testing, monitoring, and

troubleshooting.

Implement data security measures and best practices to protect sensitive

information.

Mentor and provide technical guidance to junior data engineers, fostering their

growth and development.

Stay updated with industry trends, emerging technologies, and best practices in data

engineering.

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field.

Minimum of 2 years of experience in data engineering, with a focus on SQL and

Python.

Strong proficiency in SQL for data extraction, transformation, and loading (ETL)

processes.

Expertise in Python programming language for data manipulation, scripting, and

automation tasks.

Solid understanding of data modeling concepts and experience in designing efficient

and scalable data architectures.

Experience with AWS services, such as EC2, S3,Lambda, Redshift, Glue, or Athena, for

building data pipelines.

Familiarity with version control systems, such as Git, for managing code repositories.

Proficiency in optimizing and fine-tuning SQL queries for performance and efficiency.

Strong problem-solving skills and ability to troubleshoot complex data-related issues.

Excellent communication and collaboration skills to work effectively with

cross-functional teams.

Nice to Have:

Master's degree in Computer Science, Engineering, or a related field.

Experience with big data technologies, such as Hadoop, Spark, or Kafka.

Knowledge of data warehousing concepts and experience with tools like Snowflake or

Google Big Query.

Familiarity with data visualization tools, such as Tableau or Power BI, for creating

insightful reports and dashboards.

Understanding of machine learning concepts and experience with Client pipelines and

frameworks.

Certification in AWS or other relevant technologies.

Active participation in data engineering communities, conferences, or open-source

projects.

JanHaviSingh

Technical Recruiter

Desk: 4694980815

Email:  [email protected]

Keywords: business intelligence sthree green card Colorado
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Thu Jul 27 20:05:00 UTC 2023

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