Sr Data Engineer
TechTriad Inc
Location: New York City, NY, 10001- 3 days onsite Duration: Full-Time Overview The ideal candidate has hands-on experience building modern data pipelines and platforms using Python, SQL, and AWS services such as Glue, Lambda, S3, EMR, Kinesis, and SageMaker . You will work on cloud-native analytics, leveraging open-source tools and machine learning frameworks to optimize data workflows and enhance the delivery of innovative payment and financial solutions. This role requires a strong foundation in data structures, algorithms, and database management , along with proficiency in data visualization tools like Tableau or AWS QuickSight . You’ll also apply best practices in version control, CI/CD, and Infrastructure as Code using Terraform to manage secure and scalable cloud environments. Responsibilities Build modern data pipelines and platforms using Python, SQL, and AWS services (Glue, Lambda, S3, EMR, Kinesis, SageMaker). Work on cloud-native analytics to optimize data workflows and support financial solutions. Leverage open-source tools and ML frameworks to enhance data delivery and analytics capabilities. Apply best practices in version control, continuous integration/continuous deployment, and IaC with Terraform to manage secure cloud environments. Required Qualifications Bachelor’s degree or the equivalent in a scientific or quantitative discipline, such as Mathematics, Engineering, Computer Science, Economics, or Physical Sciences 5+ years of experience or equivalent in the data engineering/science field as a programmer, analyst, engineer or scientist Hands-on development experience using programming languages, ideally Python, with statistical and data visualization libraries, such as pandas and matplotlib Experience with data structures, algorithms and database query languages, such as SQL Familiarity using git code repositories and interactive editors, such as Jupyter notebooks, Sublime or VS Code Familiarity with cloud services for data management and analysis, such as AWS Glue Experience managing a variety of large-scale data sets on Linux, Windows or MacOS Excellent writing and presentation skills #J-18808-Ljbffr
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