Assistant Manager - Data Science

Darwinbox Digital Solutions Pvt. Ltd.; Chennai District; On-site; INR 1,500,000 - 3,500,000; Full time

Job summary

Darwinbox Digital Solutions Pvt. Ltd. is seeking a data professional to design, build, and optimize scalable data pipelines and ETL/ELT workflows using Python, SQL, and Apache Spark. The role emphasizes BigQuery architectures, efficient data storage, and robust CI/CD integration.

You will develop dashboards, write advanced SQL and Python scripts, and communicate complex results to non-technical stakeholders while ensuring data reliability and scalability across services.

Qualifications

• 7+ years of experience in data engineering
• Proficient in SQL, Python and data visualization tools
• Experience building scalable data pipelines and BigQuery architectures

Responsibilities

• Design, build, and optimize scalable data pipelines and ETL/ELT workflows
• Develop dashboards and visualizations to present complex data clearly
• Improve query performance and storage efficiency in BigQuery using partitioning and clustering
• Implement CI/CD pipelines for data workflows using Cloud Build, GitHub Actions, or similar tools
• Communicate technical results to non-technical stakeholders

Skills

SQL

Python

BigQuery

Spark

ETL/ELT

CI/CD

Tools

Airflow

GitHub Actions

Cloud Build

QlikSense

PowerBI

Excel

Job description

We need a data professional who can seamlessly design, build, and optimize scalable data pipelines, robust ETL/ELT workflows, and high-performance BigQuery architectures using Python, SQL, and Apache Spark.

Responsibilities:

• Problem solving skills with an analytical bent of mind and positive attitude to learn
• Ability to communicate technical results to non-technical audience
• Statistical ML model development (eg., regression based models using tree-based algorithms), feature engineering
• AI Engineering (Prompt engineering, Reasoning, Agentic workflows, and Context engineering)
• Proficiency in SQL, Qliksense, PowerBI, Excel, and programming languages such as Python
• Build and maintain robust ETL/ELT workflows ensuring high data reliability accuracy, and consistency.
• Write advanced SQL queries and Python/R scripts for data manipulation
• Build and manage data pipelines for scalability and reproducibility (e.g., with Apache Spark).
• Develop dashboards and visualizations to present complex data clearly.
• Optimize query performance and storage efficiency in BigQuery through techniques like partitioning and clustering.
• Implement CI/CD pipelines for data workflows using Cloud Build, GitHub Actions, or similar tools

Skills:

• 7+ years of experience
• SQL, Python, Qliksense, PowerBI, BigQuery, Regression based models using tree-based algorithms,
• CI/CD, Airflow, Pyspark, Cloud Build, GitHub Actions.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.