Data Engineer_Hyd/Noida (2025)

Overview

Department: Engineering

Type of Position: Full Time

About us:

Arrise Solutions (India) Pvt. Ltd. is a leading content provider to the iGaming and Betting Industry, offering a multi-product portfolio that is innovative, regulated and mobile-focused. We strive to create the most engaging and evocative experience for customers globally across a range of products, including slots, live casino, sports betting, virtual sports and bingo.

We are seeking a talented and experienced Data Engineer that will work in a global team of Data Scientists delivering their pipelines into production in the most efficient way possible. You will also implement monitoring and alert systems. The ideal candidate should have in-depth knowledge and experience of Python, Azure/AWS, data storage, Data Pipelines.

Key Responsibilities

Create and manage ETL workflows using Python and relevant libraries (e.g., Pandas, NumPy) for high-volume data processing

Monitor and optimize data workflows to reduce latency, maximize throughput, and ensure high-quality data availability.

Develop REST API integrations and Python scripts to automate data exchanges with internal systems and BI dashboards.

Implement validation processes and address anomalies or performance bottlenecks in real time.

Design, develop and maintain Data Engineering pipelines for Machine Learning projects, ensuring high reliability and scalability.

Collaborate with cross-functional teams across data Science and engineering to come up with solutions to complex problem statements.

Automate existing workflows within Data Science team

Required Skills And Qualifications

Bachelor’s or master’s degree in computer science, Engineering, or a related field.

Advanced Python proficiency with data libraries (Pandas, NumPy, etc.).

Deep understanding of ETL / Reporting / Cloud (Azure) / DS technologies

3–5 years of professional experience in data engineering, ETL development, or similar roles.

Experience in Azure Data Factory, Databricks, Azure data lake and Azure SQL Server.

Configuration and Deployment of ADF packages.

Experience working with SQL databases (e.g., MySQL, PostgreSQL) and NoSQL solutions (e.g., MongoDB).

Experience with version control (Git) and continuous integration practices.

Prior experience in handling very large datasets across different business functions.

Excellent problem-solving, analytical, and communication skills.

PREFERRED QUALIFICATIONS:

Extensive experience with Azure ecosystem, particularly Azure Data Engineering and Machine Learning.

Experience developing computer vision, text, audio, and/or tabular data models.

Strong proficiency in Gitlab CI, Jenkins, Grafana, Docker.

Excellent software engineering skills in API design and development, and concurrency design skills.

If you are a skilled Data Engineer who has passion to work in a fast-paced environment, have an eye for details and ready to experiment new things, we encourage you to apply and be part of our dynamic and innovative team and organization.

What We Offer

• Competitive compensation depending on experience
• Opportunities for professional and personal development
• Opportunities to progress within a dynamic team.
• Chance to work with close and collaborative colleagues
• Comprehensive health coverage
  
  
  

OUR VALUES

PERSISTENCE

We never give up and are determined to be the best at what we do.

RESPECT

We value and respect our clients, their players, and our team members; promoting professionalism, integrity and fairness without compromise.

OWNERSHIP

We take ownership of our work and consistently deliver in a reliable manner; always providing the highest level of quality.