Analytics & Modeling Practitioner

Project Role :Analytics & Modeling Practitioner


Project Role Description :Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data.

Must have skills :Python (Programming Language)


Good to have skills :NA
Minimum
3 year(s) of experience is required


Educational Qualification :any graduate

Summary:As a Data Engineering professional, you will be responsible for developing and maintaining data pipelines and infrastructure using Python. Your typical day will involve working with large datasets, designing and implementing data models, and ensuring data quality and integrity.
Roles & Responsibilities:

Design and develop data pipelines and infrastructure using Python, ensuring scalability, reliability, and performance.

Collaborate with cross-functional teams to understand data requirements and design data models that meet business needs.

Ensure data quality and integrity by implementing data validation and cleansing techniques.

Develop and maintain documentation for data pipelines, data models, and data dictionaries.
Professional & Technical Skills:

Must To Have Skills:Proficiency in Python.

Good To Have Skills:Experience with Big Data technologies such as Hadoop, Spark, or Kafka.

Strong understanding of data modeling and database design principles.

Experience with data validation and cleansing techniques.

Experience with data pipeline orchestration tools such as Airflow or Luigi.
Additional Information:

The candidate should have a minimum of 3 years of experience in Python.

The ideal candidate will possess a strong educational background in computer science, software engineering, or a related field, along with a proven track record of delivering impactful data-driven solutions.

This position is based at our Hyderabad office.Qualifications 
any graduate