Data Engineer Mid

D8 LooP; Hyderabad; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

D8 LooP is seeking a data analytics professional in Hyderabad to advance our centralized data warehouse, build scalable pipelines on Google Cloud Platform, and empower platforms with timely, accurate insights.

Candidates should have hands-on experience with Python and SQL, GCP data services such as BigQuery/Dataflow, and a focus on data quality, governance, and performance. This role emphasizes data modeling and analytics to drive informed decisions.

Qualifications

• Proficiency with Python and SQL
• GCP data services (BigQuery, Dataflow, Pub/Sub)
• Experience with data warehousing and analytics pipelines
• Exposure to ML initiatives and AI technologies
• Strong focus on data governance, quality and security
• Experience optimizing SQL for performance and cost
• Knowledge of streaming data and analytics infrastructure
• Experience with advanced data modeling and schema design for analytics

Skills

Python

SQL

GCP

Machine Learning

Data Warehousing

Data Modeling

Data Governance

Streaming Data

Job description

The Data and Analytics Services (DAS) team is a data hub for the Platforms and Devices (P&D) organization. Our mission is to empower the devices organization with timely, accurate, and actionable data. We build and manage the centralized data warehouse, creating data pipelines and scalable analytics solutions on Google Cloud Platform.

Skills, with evidence

we are committed to upholding data quality, governance, and best practices must have

• Python write efficient SQL and Python code must have
• SQL write efficient SQL and Python code must have
• GCP Expertise with Google Cloud Platform (GCP) data services (e.g., BigQuery, Dataflow, Pub/Sub) must have not practised here
• Machine learning Experience supporting AI/ML initiatives and with Generative AI technologies not practised here
• Warehousing We build and manage the centralized data warehouse, creating data pipelines and scalable analytics solutions on Google Cloud Platform.
• Cost & performance Architect and optimize SQL queries for data transformation, analytics, and reporting.
• Streaming Expertise with Google Cloud Platform (GCP) data services (e.g., BigQuery, Dataflow, Pub/Sub) and AI infrastructure (e.g., Vertex AI, BigQuery ML).
• Governance & security We are committed to upholding data quality, governance, and best practices, ensuring that data is a reliable and transformative asset for all Platforms and Devices. not practised here

Experience with advanced data modeling and schema design for analytics.