Pearlsoft Solutions Inc.
Sr. Data Engineer with Databricks (Only Local to Dallas)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer with Databricks, requiring 11+ years of IT experience, strong SQL and Python skills, and expertise in data pipelines, AWS services, and Kafka. Location: Dallas, TX; hybrid work with 3-4 days onsite.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas-Fort Worth Metroplex
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🧠 - Skills detailed
#Python #Data Pipeline #Datasets #Debugging #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Data Engineering #Automation #Databricks #"ETL (Extract #Transform #Load)" #Redshift #SQL (Structured Query Language) #Kafka (Apache Kafka) #Athena
Role description
Job Title: Sr. Data Engineer with Databricks (Only local to Dallas)
Location: Dallas, TX (need only locals) Hybrid
Mode of Interview: Client round will be Face to Face
Mode of Job: 3-4 days onsite in a week must
No Third Party
Required Qualifications
• 11+ years of Over all IT experience required
• Strong hands‑on experience with SQL for complex data validation and analysis.
• Proficiency in Python for test automation and data validation.
• Experience testing data pipelines and ETL/ELT workflows.
• Hands‑on experience with Kafka or other streaming platforms.
• Solid understanding of AWS data services (S3, Glue, Redshift, Lambda, Athena, etc.).
• Experience working with large datasets and distributed systems.
• Strong debugging, analytical, and problem‑solving skills.
Job Title: Sr. Data Engineer with Databricks (Only local to Dallas)
Location: Dallas, TX (need only locals) Hybrid
Mode of Interview: Client round will be Face to Face
Mode of Job: 3-4 days onsite in a week must
No Third Party
Required Qualifications
• 11+ years of Over all IT experience required
• Strong hands‑on experience with SQL for complex data validation and analysis.
• Proficiency in Python for test automation and data validation.
• Experience testing data pipelines and ETL/ELT workflows.
• Hands‑on experience with Kafka or other streaming platforms.
• Solid understanding of AWS data services (S3, Glue, Redshift, Lambda, Athena, etc.).
• Experience working with large datasets and distributed systems.
• Strong debugging, analytical, and problem‑solving skills.
