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Urgent! Cloud Data Pipeline Engineer Job Opening In Hyderabad – Now Hiring meanSquare.ai
Data Engineer (onsite | Offshore | PST Overlap Required)
We’re looking for an experienced and independent 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.
This is a 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.
Analyze 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 strong 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 PySpark, especially using Azure Databricks for large-scale data processing.
Azure Cloud Platform
Practical experience with Azure services, including Function Apps, Blob Storage, DevOps, Networking, and Access Control.
Familiarity with Azure data services, such as:
Azure SQL Database
Azure Synapse Analytics
Azure Cosmos DB
Azure Database for PostgreSQL
Azure Data Lake Storage
Azure Data Factory (ADF) for orchestration and data integration
Database and SQL
Strong SQL skills, including querying, transforming, and managing data in relational databases.
Workflow and Orchestration
Familiarity with scheduling and orchestrating data pipelines using workflow tools.Role Details
Type: Independent Contractor (Onsite) Full-time
Location: Hyderabad, India
Time Zone Requirement: Minimum 3 hours of overlap with PST (available until 11 AM PST)
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Unlock Your Cloud Data Potential: Insight & Career Growth Guide
Real-time Cloud Data Jobs Trends in Hyderabad, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Cloud Data in Hyderabad, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 217974 jobs in India and 8015 jobs in Hyderabad. This comprehensive analysis highlights market share and opportunities for professionals in Cloud Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! meanSquare.ai is currently hiring and seeking a Cloud Data Pipeline Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Cloud Data Pipeline Engineer Jobs Hyderabad.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at meanSquare.ai adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Cloud Data Pipeline Engineer Jobs India varies, but the pay scale is rated "Standard" in Hyderabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Cloud Data Pipeline Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Cloud Data Pipeline Engineer interview at meanSquare.ai, research the company, understand the job requirements, and practice common interview questions.
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