| Urgent Need : Sr. Data Engineer with DBT (Data Build Tool), Snowflake, Python/PySpark (F2F Interview) at Dallas, Texas, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2151745&uid= Hi, Hope you are doing well. This side Mohit Mittal, I am a Lead Recruiter with Applab Systems. We provide staffing solution for fortune 100 clients. I found your resume form one of the job boards and I found it suitable for the below role. Kindly review the below job description and let me know your contact information and a suitable time to reach you. Title: Sr. Data Engineer with DBT (Data Build Tool), Snowflake, Python/PySpark (F2F Interview) Long term onsite contract for 12+ months, Location: Dallas, TX office (Farmers Branch, TX 75234) Interview Mode: F2F required About the Role: We are seeking a highly skilled Sr. Data Engineer with expertise in SnapLogic, dbt (Data Build Tool), Snowflake, Python/PySpark, and experience working with the Azure ecosystem. The ideal candidate will play a key role in designing, developing, and optimizing scalable data pipelines and architectures to support our business intelligence and analytics needs. Candidates with experience in the finance industry are strongly preferred. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain ETL/ELT processes using SnapLogic and dbt to extract, transform, and load data efficiently. Data Warehousing: Manage and optimize Snowflake environments, including schema design, query optimization, and workload management. Big Data Processing: Implement scalable data processing solutions using Python and PySpark to handle large datasets. Cloud Integration: Build and maintain data solutions within the Azure ecosystem, leveraging services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage. Collaboration: Work closely with data analysts, data scientists, and business stakeholders to ensure data solutions align with business needs. Monitoring and Optimization: Implement monitoring, logging, and alerting mechanisms to ensure the reliability and performance of data pipelines. Documentation: Maintain comprehensive documentation for data models, pipelines, and processes to ensure knowledge sharing and compliance. Required Skills and Qualifications: Experience: minimum 10+ years of experience in data engineering or related roles. Tools & Technologies: Expertise in SnapLogic for ETL/ELT workflows. Proficiency with DBT for data modeling and transformation. Strong knowledge of Snowflake, including performance tuning and best practices. Advanced programming skills in Python and PySpark for data engineering tasks. Cloud Platforms: Hands-on experience with Azure, including data-related services. Database Management: Strong SQL skills and experience working with relational and non-relational databases. Problem Solving: Excellent debugging, problem-solving, and analytical skills. Communication: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Preferred Qualifications: Experience with other cloud platforms (AWS, GCP) is a plus. Familiarity with CI/CD pipelines for data workflows. Certification in Snowflake, Azure, or other relevant technologies. Knowledge of data governance and security best practices. Have a Great Day! Warm Regards, Mohit Mittal Lead Recruiter Contact Details: 609-629-2040 Email: [email protected] 4365 Route 1 South, Suite 105 Princeton, NJ 08540 www.applabsystems.com Keywords: continuous integration continuous deployment access management information technology New Jersey Texas Urgent Need : Sr. Data Engineer with DBT (Data Build Tool), Snowflake, Python/PySpark (F2F Interview) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2151745&uid= |
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| 10:59 PM 06-Feb-25 |