Data Engineer
4 days ago
Data Engineer (Onsite | Immediate Joiners Required | F2F Interview Mandatory)
We're looking for an enthusiastic and hands-on Data Engineer with 0-3 years of experience 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. A face-to-face interview is mandatory.
This is an on-site 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 good understanding of cloud-native patterns.
What We're Looking For
- Strong foundation in cloud-native application architecture.
- Experience with relational and non-relational databases, and understanding their design trade-offs.
- Familiarity with API design and implementation.
- Comfortable working independently and communicating clearly in a remote environment.
- A good grasp of software engineering principles, clean code practices, and system design.
Technical Skills
Python and Data Engineering
- Proficient in Python, with a good understanding of object-oriented programming, data structures, and algorithms.
- Exposure to Apache Spark and PySpark, especially using Azure Databricks, is a plus.
Azure Cloud Platform
- Basic to intermediate experience with Azure services such as Function Apps, Blob Storage, DevOps, and Access Control.
Familiarity with Azure data services:
- Azure SQL Database
- Azure Synapse Analytics
- Azure Cosmos DB
- Azure Database for PostgreSQL
- Azure Data Lake Storage
- Azure Data Factory (ADF)
Database and SQL
- Strong SQL skills for querying, transforming, and managing data.
Workflow and Orchestration
- Understanding how to schedule and orchestrate data pipelines using workflow tools is a bonus.
Role Details
- Type: Independent Contractor (Onsite) – Full-time
- Location: Hyderabad, India
- Time Zone Requirement: Minimum 3 hours of overlap with PST (available until at least 11 AM PST)
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