SportsGameX - Senior Data Engineer - ETL/Python

1 month ago

Anywhere in IndiaMultiple Locations SportsGameX Full time

SportsGameX is seeking a highly skilled and experienced Senior Data Engineer to join our data team. This is an exciting opportunity to play a key role in designing and implementing robust data pipelines for our advanced analytics and machine learning Overview :

As a Senior Data Engineer, you will be responsible for architecting, implementing, and maintaining end-to-end data ideal candidate will have a proven track record of gathering, transforming, and storing large-scale data efficiently on cloud platforms. You will work collaboratively in a small team environment, contributing to key decision-making in our data infrastructure.


Key Responsibilities :


Data Acquisition :

- Write efficient scripts to gather large-scale data from diverse sources using APIs.

- Implement data extraction techniques to ensure data quality and accuracy.

Data Transformation :

- Apply advanced transformations to raw data, ensuring it is cleansed, normalized, and ready for downstream processing.

- Utilize ETL (Extract, Transform, Load) processes to enhance data quality and usability.

Cloud Storage :

- Design and implement scalable solutions for storing and managing data on cloud platforms (e.g., AWS, Azure, GCP).

- Optimize data storage for cost efficiency and performance.

Data Modeling :

- Develop and implement effective data models to support analytics and reporting requirements.

- Collaborate with data scientists and analysts to understand data needs and create appropriate models.

Schema Design :

- Create and maintain database schemas to facilitate efficient data retrieval and analysis.

- Ensure schema designs align with business objectives and support evolving data requirements.

Pipeline Creation :

- Design and implement end-to-end data pipelines to facilitate fast and efficient data processing.

- Optimize pipelines for scalability, reliability, and :


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


- Proven experience (4+ years) in data engineering roles with a focus on large-scale data processing.


- Strong proficiency in scripting languages (e.g., Python, Java) and experience with data manipulation libraries.


- Extensive knowledge of cloud platforms (AWS, Azure, GCP) and hands-on experience with cloud-based data storage solutions.


- Expertise in data modeling, schema design, and database optimization.


- Previous experience in a small team environment where key decisions were made.


This is a permanent Remote position.


Shift timings - (6:30 pm - 3:30 am IST)

(ref:hirist.tech)

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