Senior Data Engineer
@ Talentify.io

Hybrid
$150,000
Hybrid
Full Time
Posted 1 day ago

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XXXXXXXX XXXXXXXXX XXXXXX***** @talentify.io
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Job Details

Why Consider This Job Opportunity

Opportunity for career advancement and growth within the organization. Work remotely for flexible work environment. Engage with diverse teams and learn new technologies. Comprehensive benefits include health, dental, and retirement plans. Contribute to an insight-driven culture focused on data and analytics.

What To Expect (Job Responsibilities)

  • Serve as a principal technology expert for major systems and subsystems.
  • Design and develop robust ETL pipelines integrating diverse data sources.
  • Collaborate with client management on complex business requirements.
  • Document, test, implement, and support applications.
  • Mentor data engineers to foster a collaborative environment.

What Is Required (Qualifications)

  • Bachelor’s degree in Computer Science or related discipline (Master's preferred).
  • Minimum eight years IT experience with six years in systems analysis.
  • Strong expertise in Azure cloud platform, including Azure Data Factory and Databricks.
  • Proficiency in Oracle, SQL, and Python.
  • Excellent verbal and written communication skills.

How To Stand Out (Preferred Qualifications)

  • Management or lead experience in a technical environment.
  • Experience in data warehousing, data modeling, and best practices.
  • Skills in implementing data governance and security measures in cloud.
  • Familiarity with DevOps practices and tools such as Git.

Key skills/competency

  • ETL
  • Azure
  • Databricks
  • Oracle
  • SQL
  • Python
  • Data Governance
  • Data Modeling
  • DevOps
  • Mentorship
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How to Get Hired at Talentify.io

🎯 Tips for Getting Hired

  • Research Talentify.io's culture: Study mission, values and employee reviews.
  • Customize your resume: Highlight Azure and ETL expertise.
  • Prepare for technical interviews: Review SQL, Python, and cloud topics.
  • Practice behavioral questions: Emphasize leadership and mentoring.

📝 Interview Preparation Advice

Technical Preparation

Review Azure Data Factory documentation.
Practice writing efficient SQL queries.
Develop Python scripts for data pipelines.
Understand Oracle database optimization techniques.

Behavioral Questions

Describe a leadership challenge solved.
Explain teamwork in a remote setup.
Detail mentoring experience with peers.
Share communication success with non-technical teams.

Frequently Asked Questions