Python data engineering and programming
2 days ago
Our client in India is a professional services firm. Our professionals leverage the global network of firms.
providing detailed knowledge of local laws, regulations, markets, and competition. Our client has offices
across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi,
Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada.
Our client in India offers services to national and international clients in India across sectors. We strive to
provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a
shared knowledge of global and local industries and our experience of the Indian business environment.
Our professionals provide the experience to help companies stay on track and deal with risks that could
unhinge their business survival. Our services enable clients to effectively coordinate their key growth.
quality and operational challenges, and working in partnership with us, clients have the benefits of
our client's experienced, objective, and industry-grounded viewpoints.
Roles Responsibilities
We are seeking a highly skilled and experienced Senior Data Scientist with a strong foundation in
Python programming and a passion for solving complex data problems. The ideal candidate will have
over 6 years of hands-on experience in data science, with a proven track record of building and
deploying data-driven solutions. Familiarity with UNIX-based systems and DevOps practices is a strong
plus.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL workflows using Python.
Design, develop, and deploy machine learning models and data pipelines using Python.
Analyze large datasets to extract actionable insights and support business decision-making.
Collaborate with cross-functional teams including data engineers, product managers, and
software developers.
Automate data workflows and ensure data quality and integrity.
Contribute to the development of scalable and maintainable data science solutions.
Utilize UNIX-based systems for scripting, automation, and data processing tasks.
(Preferred) Work with DevOps tools and practices to streamline model deployment and
monitoring.
(Preferred) Leverage DevOps tools for model deployment, monitoring, and CI/CD integration.
(Preferred) Utilize UNIX-based systems for scripting, automation, and data handling.
Qualification
Bachelor's or master's degree in computer science, Data Science, Statistics, or a related field.
5+ years of experience in data science roles with a strong focus on Python.
Proficiency in Python libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn.
Experience with data wrangling, feature engineering, and model evaluation techniques.
Solid understanding of statistical analysis and machine learning algorithms.
Familiarity with UNIX/Linux environments and shell scripting.
Excellent problem-solving and communication skills.
Solid experience in ETL development and data pipeline automation
CRITERIA
o Strong proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy).
o Experience with DevOps tools such as Docker, Kubernetes, Jenkins, or CI/CD pipelines.
o Exposure to cloud platforms like AWS, GCP, or Azure.
o Knowledge of version control systems like Git.
o Experience with big data tools (e.g., Spark, Hadoop)is a plus.
Work with one of the Big 4's in India
Healthy work Environment
Work-Life Balance
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