
Estuate Software
1 week ago
Job Title: Data Engineer / Sr. Data Engineer
Company: Estuate Software
Location: Hyderabad, India
Experience Required: 5 to 12 years
Employment Type: Full-time
About Estuate:Estuate is a global technology services company headquartered in California with development centers in India and Canada. We provide cutting-edge IT services and solutions in the domains of data and analytics, cloud modernization, enterprise application services, and governance. We believe in empowering businesses through data-driven transformation and cloud-first strategies.
Position Summary:We are looking for an experienced Data Engineer / Sr. Data Engineer with strong expertise in ETL development, Python programming, Google Cloud Platform (GCP) , and Ascend.io . The ideal candidate will be responsible for designing and implementing scalable data pipelines, transforming raw data into actionable insights, and supporting our cloud-based analytics platforms.
Key Responsibilities:-
Design, develop, and maintain robust ETL/ELT pipelines using Ascend.io , GCP native services, and Python.
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Build reusable, optimized, and scalable data workflows to support analytics and business intelligence teams.
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Collaborate with data analysts, engineers, and architects to ensure seamless data integration across platforms.
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Ensure data quality, security, and compliance throughout the pipeline lifecycle.
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Perform root cause analysis on data issues and resolve performance bottlenecks.
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Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.
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3.5 to 6 years of experience in Data Engineering / ETL Development .
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Hands-on expertise in Google Cloud Platform (GCP) – especially BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Storage.
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Proven experience with Ascend.io for building declarative pipelines and orchestration.
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Strong programming experience in Python for data transformation, scripting, and automation.
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Proficiency in SQL and data modeling techniques.
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Experience with data governance, quality checks, and performance tuning of data systems.
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Familiarity with Git , CI/CD pipelines, and Agile development environments.
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