Data Engineer (Azure Data Factory (ADF), Databricks) - W2 Contract only

We are looking for a Data Engineer (Azure Data Factory (ADF), Databricks) to join our team. Please review the job description below, and let us know if you are interested and available.

If this opportunity matches your experience and career goals, we would love to discuss it more. Additionally, feel free to share your updated resume for consideration

Role: Data Engineer (Azure Data Factory (ADF), Databricks)

Location: Remote

Duration: Long Term Contract

Rate: $60/HR on W2

Job Summary

The Senior Technical Lead will be responsible for leading technical teams and overseeing the implementation of projects related to Snowflake, Azure Data Factory (ADF), and Data Bricks. The role involves ensuring the successful delivery of data solutions and optimizing data pipelines for efficient performance.

Key Responsibilities

1. Lead and manage technical teams, providing guidance and support in the implementation of snowflake, azure data factory (adf), and data bricks projects.

2. Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), and data bricks to support business requirements.

3. Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data driven solutions.

4. Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.

5. Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects.

6. Collaborate with cross functional teams to integrate data solutions with existing systems and applications.

7. Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation.

Skill Requirements

1. Proficiency in snowflake, including data modeling, querying, and performance optimization.

2. Strong experience in azure data factory (adf) for data integration and orchestration.

3. Handson knowledge of data bricks for data engineering, data processing, and machine learning.

4. Ability to design, develop, and optimize complex data pipelines for etl processes.

5. Strong problem-solving skills and the ability to troubleshoot data pipeline issues.

6. Excellent communication skills to interact with technical and nontechnical stakeholders effectively.

7. Strong leadership skills to guide and motivate technical teams towards project delivery and success.

8. Experience in agile methodologies and project management practices for efficient project execution.

Other Requirements

1.Relevant certifications in Snowflake, Azure Data Factory (ADF), DataBricks are a plus

Thank you!

Best Regards,

Sumit Talekar

Associate Manager – Talent Acquisition

Silverlink Technologies Inc.

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