Azure Data Engineer (Onsite | Immediate joiners Required | F2 F interview mandatory)
We're looking for an experienced and independent Senior Data Engineer to help us design and
build data systems that are clean, scalable, and reusable. If you enjoy working with modern data
tools, solving real-world data problems, and collaborating with a supportive and capable team,
we'd love to connect. Immediate joiners required. Face-to-face interview is mandatory.
This is an Onsite contractor role. You can be based offshore, but we ask for at least 3 hours of
overlap with the Pacific Time Zone (PST), ideally available until at least 11 AM PST.
What You'll Do
Build modular and scalable data pipelines that integrate data from multiple sources.
Analyse raw data and organize it based on business requirements.
Collaborate with data scientists, engineers, and application teams to design effective solutions.
Ensure that systems are reliable, reusable, and aligned with best practices.
Identify and address data gaps, quality issues, or discrepancies proactively.




Contribute to architectural discussions with a solid understanding of cloud-native patterns.
What We're Looking For
Strong foundation in cloud-native application architecture.
Hands-on experience with both relational and non-relational databases, including understanding
their trade-offs and design considerations.
Familiarity with API design and implementation.
Comfortable working independently and communicating clearly in a remote environment.
A solid grasp of software engineering principles, clean code practices, and system design.
Technical Skills
Python and Data Engineering
Proficient in Python, with a strong understanding of object-oriented programming, data
structures, and algorithms.
Experience with Apache Spark and Py Spark, especially using Azure Databricks for large-scale
data processing.
Azure Cloud Platform
Practical experience with Azure services including Function Apps, Blob Storage, Dev Ops,
Networking, and Access

📌 Data engineer (Hyderabad)
🏢 meanSquare.ai
📍 Hyderabad