Senior Lead Engineer
- Quest Global
- 10 - 13 years
- India
- 3 months ago
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Job Description
Job Requirements
Perform statistical analysis, identify trends, patterns, and anomalies within datasets using Python libraries such as NumPy, SciPy, and Scikit-learn.
Develop and implement predictive models or machine learning algorithms to address specific business problems.Looking for a lead engineer for a data anawith good knowledge in Python Programming ,Experience in working with core data analytics libraries in Python (Pandas, Numpy). He / she should have Experience Web Frameworks & APIs (Flask, FastApi) and containerization , Docker.
Experienced and having knowledge in building ETL pipelines, data engineering workflows and Data Visualization (spark, plotly, Dash, SQL)
Experience in working with MS Azure Cloud and below Azure Services (Databricks, Data Factory, Azure App Service, Azure Batch Service, CosmosDB, Azure Functions, Azure Datalake)
Machine Learning Concepts & Libraries (Time series forecasting , Anomaly Detection, Failure prediction, scikit-learn, statsmodels, PyOD, TensorFlow, PyTorch )
Work Experience
Expert in Python Programming Language
Strong understanding of Python syntax, data structures, OOP, and best practices.
Experience with writing efficient, maintainable, and scalable Python code.
2: Experience in working with core data analytics libraries in Python
Pandas Data manipulation and analysis
NumPy Numerical computations
SciPy Scientific computing, signal processing
Scikit-learn Classical machine learning algorithms
Statsmodels Statistical modeling and time series analysis
3: Web Frameworks & APIs
Flask, FastAPI RESTful APIs and web apps
4: Experience and knowledge in building ETL pipelines and data engineering workflows, including:
Ability to work with structured and unstructured data from various sources.
Understanding of best practices for data quality, reliability, and scalability.
Proficiency in data ingestion, cleansing, transformation, and orchestration.
PySpark, Databricks distributed data processing frameworks
Azure Data factory -ETL tool
Good SQL knowledge
5: Data Visualization and Dashboards
Plotly, Dash Interactive visualizations and dashboards
Matplotlib, Seaborn Static visualizations
6: Experience in working with MS Azure Cloud and below Azure Services:
Azure Databricks
Azure Data Factory
Azure App Service
Azure Batch Service
Azure Cosmos DB
Azure Datalake
Azure DevOps
Azure Functions
Azure Container Registry
Version control (Git)
7: Experience in containerization and Docker, including:
Building, deploying, and managing applications using Docker containers.
Writing and optimizing Docker files for Python and analytics projects.
8: Machine Learning Concepts & Libraries
Time series forecasting
Failure prediction (classification/regression)
Feature engineering from sensor data
Anomaly Detection
Model Evaluation and Deployment
scikit-learn, statsmodels, PyOD, TensorFlow, PyTorch
Role-Specific Skill Summary
We are primarily looking for an experienced Python
Data Analytics / Data Science professional with the following emphasis.
Core Strengths:
Strong
Python programming with solid mathematical/statistical foundation for
deriving reliable inferences.
Hands-on
expertise in ETL workflows using Python libraries (Pandas, NumPy, SciPy,
Scikit-learn, PySpark, Databricks).
Ability
to handle structured/unstructured data and transform it effectively for
analytics and ML pipelines.
Applied Machine Learning:
Experience
building and deploying models (e.g., TensorFlow, PyTorch) for time-series
forecasting, prediction, and anomaly detection.
Capable
of preparing and feeding transformed data into ML models for real-world
predictions.
APIs & Deployment:
Practical
knowledge of Flask/FastAPI to expose inference models as APIs.
Experience
deploying solutions within the Azure ecosystem (Databricks, Data Factory,
App Service, Cosmos DB, Functions, etc.).
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full timeContact Details:
Company: Quest GlobalLocation(s): India
Keyskills: scikit-learn pyspark datafactory numpy foundation azure data factory sql docker tensorflow spark oops pytorch web api data structures etl programming azure databricks scipy python data analytics azure data lake workflow microsoft azure pandas data bricks syntax flask
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