Python Data Engineer

Symphoni HR • Python • SQL • ETL/ELT • Dimensional Modeling • 2 days ago
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Salary
≈ $15k – $36k per year (Estimated)
Location
In office (Greater Noida)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 23, 2026.

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Symphoni HR

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.
symphonihr.com • HQ: Mumbai, India • Recruiting & Staffing • Executive Search • 201-500 employees • Est. 2003

This role is for an experienced Python Data Engineer to lead a large-scale migration program from legacy SAS environments to Google Cloud Platform. You will be responsible for analyzing complex transformation logic, building scalable ETL/ELT pipelines, and ensuring data integrity throughout the migration process.

We are partnering with a leading global computer software firm that specializes in digital transformation and data modernization services. The organization is known for its commitment to innovation and its collaborative, fast-paced culture that empowers engineers to solve complex technical challenges for enterprise clients.

Responsibilities

  • Analyze existing SAS datasets, macros, and PROC SQL logic to translate them into modern Python, SQL, and DBT models.
  • Develop and maintain scalable data pipelines using Google Cloud Platform services including BigQuery, Cloud Composer, and Dataflow.
  • Build reusable Python frameworks for data ingestion, validation, and reconciliation between legacy and cloud environments.
  • Implement automated data quality checks using frameworks like Great Expectations and Pytest.
  • Optimize SQL queries and BigQuery tables to ensure high performance and cost efficiency.
  • Collaborate with cross-functional teams including data architects and business analysts to document technical conversion rules.
  • Support the full software development lifecycle, including CI/CD processes, unit testing, and production deployment.

Requirements

  • 4-6 years of professional experience in data engineering and ETL/ELT pipeline development.
  • Strong proficiency in Python and advanced SQL.
  • Hands-on experience with DBT and Google BigQuery.
  • Proven experience in data migration projects, specifically involving SAS to cloud transitions.
  • Solid understanding of PySpark, Pandas, NumPy, and PyArrow.
  • Experience with orchestration tools like Airflow or Cloud Composer.
  • Knowledge of dimensional modeling, data warehousing concepts, and star schema design.
  • Familiarity with Infrastructure as Code tools such as Terraform.
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