Senior Data Engineer
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Salary
≈ $19k – $41k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 6+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 16, 2026. Symphoni HR scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Symphoni HR is an executive search and specialist recruitment firm headquartered in Malad West, Mumbai, handling board, CEO and CXO appointments alongside technology hiring, recruitment process outsourcing, project hiring and fractional leadership services. Established in 2003, it reports more than 100,000 candidates hired and over 5,000 C-suite and senior mandates for 300+ clients across practices such as global capability centres, financial services, technology, industrial and healthcare. The roles on its board are client vacancies, mostly in Mumbai, Bengaluru and Pune, for Java and C++ developers, data engineers, DevOps and GenAI engineers, business analysts and project managers.
We are seeking a skilled Senior Data Engineer to join our client's team in a hybrid capacity. You will be responsible for designing, developing, and maintaining robust data pipelines and ETL processes within an Azure-based environment. This role focuses on leveraging advanced cloud tools to drive automation, data orchestration, and system interoperability.
Our client is a prominent global player in the computer software industry, known for delivering innovative digital solutions and data-driven insights. They foster a collaborative, high-performance culture that encourages professional growth and technical excellence. With a focus on cutting-edge cloud technologies, they empower businesses to scale and succeed in a competitive market.
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, ADF, and Azure SQL.
- Implement advanced data orchestration and automation strategies to streamline data workflows.
- Execute cost optimization strategies for cloud-based data infrastructure.
- Develop and integrate REST APIs to facilitate seamless data exchange and system interoperability.
- Create and maintain comprehensive data models to support business intelligence requirements.
- Ensure high standards of code modularization and version control across all development projects.
- Collaborate with cross-functional teams to enhance data management practices.
Requirements
- 6 to 8 years of professional experience in data engineering roles.
- Advanced proficiency in SQL and Python.
- Intermediate experience with Azure cloud infrastructure and Databricks.
- Hands-on experience with ADLS, Azure SQL, ADF, GitHub, and SSMS.
- Strong understanding of CI/CD pipelines, code versioning, and modularization.
- Proven ability to design and implement complex ETL processes.
- Familiarity with REST API development and integration.
- Excellent problem-solving skills with a focus on automation and orchestration.
Skills
SQL, Python, Azure, Databricks, ADF, Azure SQL, Data Modeling, ETL, REST API, ADLS, GitHub, SSMS, CI/CD, Orchestration, Automation, Code Modularization, Versioning
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