Python Data Engineering and Programming Assistant Manager (5-6 Years of Experience)

Location : Gurugram, Haryana, India | Bengaluru, Karnataka, India

Industry : IT Services and IT Consulting

About the Role :

We are seeking a highly skilled and experienced Python Data Engineering and Programming Assistant Manager with 5-6 years of hands-on experience.

The ideal candidate will have a strong foundation in Python programming, a proven track record in data engineering, and a passion for solving complex data problems.

You will be responsible for designing, developing, and deploying scalable data solutions and collaborating closely with various teams.

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, taking ownership of key components.

- Analyze large and complex datasets to extract actionable insights and support strategic business decision-making.

- Collaborate effectively with cross-functional teams including data engineers, product managers, and software developers, acting as a key technical liaison.

- Automate complex data workflows and ensure high data quality and integrity across various systems.

- Contribute significantly to the development of scalable and maintainable data science solutions and best practices.

- Utilize UNIX-based systems for scripting, automation, and advanced 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.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

- 5-6 years of hands-on experience in data engineering or data science roles with a strong focus on Python.

- Strong proficiency in Python libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn.

- Extensive experience with data wrangling, feature engineering, and model evaluation techniques.

- Solid understanding of statistical analysis and machine learning algorithms.

- Proficiency with UNIX/Linux environments and shell scripting.

- Excellent problem-solving and communication skills, with the ability to articulate technical concepts to non-technical stakeholders.

- Solid experience in ETL development and data pipeline automation.

Criteria (Must-Have) :

- Strong proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy).

- Experience with DevOps tools such as Docker, Kubernetes, Jenkins, or CI/CD pipelines.

- Knowledge of version control systems like Git.

Preferred Skills (Nice-to-Have) :

- Exposure to cloud platforms like AWS, GCP, or Azure.

- Experience with big data tools (e.g., Spark, Hadoop).

Benefits :

- Work with one of the Big 4's in India.

- Healthy work Environment.

- Work-Life Balance