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Databricks Engineer

New York, NY

🔒 Direct submission to hiring team • Zero candidate fees

Role & Company Overview

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Employer
ALOIS Solutions
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Location / Model
New York, NY
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Employment
Full-Time
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Recruitment Type
Direct to HR Pipeline
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Industry
General
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Company Size
🌐
Headquarters
United States
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Visa & Sponsorship
Global Talent Consideration
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Global Sponsorship Signal: This position is eligible for global talent consideration and work authorization sponsorship for top qualified international candidates.
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Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • Hirely Editorial Team. Authenticated directly from ALOIS Solutions's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards

📋 Role Overview & Responsibilities

About Alois:ALOIS is a premier staffing and recruitment solutions provider to Fortune 1000 companies in regions like the United States, Europe, India and Asia-Pacific. We have vast experience placing top talent in roles across diverse verticals such as Information Technology, Healthcare, Pharmaceutical, Engineering, Light Industrial and Professional. ALOIS fosters diversity in its workforce, ensuring all employees are respected & valued. We bring together people of varying nationality, ethnicity, gender, physical ability, religious belief, sexual orientation and socio-economic backgrounds. To know more about us, please visit us at www.aloisstaffing.com.

Job Title: Databricks EngineerLocation: New York (hybrid)Type: Full-Time

Role & Responsibilities Overview:• Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.)• Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring• Continuously improve systems through performance enhancements and cost reductions in compute and storage• Data Processing and API Integration: Utilize Spark Structured Streaming for real-time data processing and integrate data outputs with REST APIs• Lead Data Engineering Projects to manage and implement data-driven communication systems• Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations• Integrate data across different systems and platforms• Strong verbal and written communication skills to manage client discussions

Candidate Profile:• 8+ years' experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud• Based out of US• Some experience in insurance domain/ data is must• Programming Languages – SQL, Python• Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL).o Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops• Project Management using Agile, Scrum• B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering.• Excellent communication & leadership skills, with the ability to lead and motivate team members• Ability to work independently with some level of ambiguity and juggle multiple demands

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This position is located in New York, NY with potential relocation and sponsorship assistance depending on candidate qualifications.

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