What are the responsibilities and job description for the Python Data Engineer position at Wise Skulls llc?
Title : Python Data Engineer
Location : Dallas, TX (Hybrid)
Duration : 6 Months (Long term contract)
Implementation Partner : Infosys
End Client : To be disclosed (Retail Domain)
Job Description :
Backend Python Engineer that will develop and scale the platform that will run our computer
vision models in real-time
Python backend experience
Kubernetes
Docker
Cloud (Azure, GCP)
CICD
GPU / CPU usage, load test, unit test, regression test
RESTful APIs
RFID signal fusion and aggregation
As a Python Data Engineer, you will be responsible for developing code for RFID signal fusion
and aggregation, performing SQL queries, and working with Databricks to manage and analyze
large datasets. The ideal candidate should possess a strong understanding of data engineering
principles, be able to translate functional requirements into technical solutions, and create
production-grade code independently.
Key Responsibilities :
Develop and implement algorithms for RFID signal fusion and aggregation.
Write efficient SQL queries for data extraction, transformation, and loading (ETL)
processes.
Utilize Databricks for data processing, analysis, and visualization.
Collaborate with cross-functional teams to gather functional requirements and design
technical solutions.
Ensure data quality and integrity through rigorous testing and validation processes.
Optimize data pipelines for performance and scalability.
Document processes, code, and workflows for future reference.
Required Qualifications :
Proficiency in Python programming language.
Experience in developing algorithms for signal processing or similar applications.
Strong knowledge of SQL for database querying and manipulation.
Familiarity with Databricks or similar cloud-based data engineering platforms.
Understanding of data engineering concepts such as ETL processes, data warehousing,
and big data technologies.
Desired Qualifications :
Experience with RFID technology or related signal processing techniques is a plus.
Knowledge of cloud platforms (e.g., AWS, Azure) is advantageous.
Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
Excellent analytical skills and attention to detail.
