Estuate Software - Data Engineer / Sr. Data Engineer

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.

• Build reusable, optimized, and scalable data workflows to support analytics and business intelligence teams.

• Collaborate with data analysts, engineers, and architects to ensure seamless data integration across platforms.

• Ensure data quality, security, and compliance throughout the pipeline lifecycle.

• Perform root cause analysis on data issues and resolve performance bottlenecks.

• Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.

Required Skills & Qualifications:

• 3.5 to 6 years of experience in Data Engineering / ETL Development .

• Hands-on expertise in Google Cloud Platform (GCP) – especially BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Storage.

• Proven experience with Ascend.io for building declarative pipelines and orchestration.

• Strong programming experience in Python for data transformation, scripting, and automation.

• Proficiency in SQL and data modeling techniques.

• Experience with data governance, quality checks, and performance tuning of data systems.

• Familiarity with Git , CI/CD pipelines, and Agile development environments.