Senior Data Engineer

Symphoni HR • Bachelor's Degree • Python • SQL • ETL/ELT • Dimensional Modeling • 1 day ago
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Salary
≈ $20k – $41k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 3, 2026. First seen by Alion on Sep 25, 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 • Executive Search • Human Resources • Professional Services • 201-500 employees • Est. 2003

We are looking for a Senior Data Engineer to design, build, and optimize scalable data platforms and analytics solutions. You will collaborate with cross-functional teams to develop robust ETL/ELT pipelines and data models that drive business intelligence and decision-making. This role is ideal for a technical leader who enjoys solving complex data challenges in a cloud-native environment.

Our client is a leading global provider of software solutions, known for delivering innovative technology services to a diverse range of international enterprises. With a strong focus on digital transformation, they operate at a significant scale, fostering a culture of technical excellence and continuous professional growth.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
  • Build and manage data transformation frameworks using dbt.
  • Develop high-performance data models and optimize complex SQL queries.
  • Implement data ingestion and integration processes from multiple data sources.
  • Leverage AWS services to build and maintain cloud-native data solutions.
  • Ensure data quality, governance, security, and compliance across all platforms.
  • Collaborate with business stakeholders to translate requirements into technical solutions.
  • Monitor and troubleshoot production data pipelines to ensure reliability and performance.
  • Mentor junior team members and participate in code reviews and architectural discussions.

Requirements

  • 8+ years of hands-on experience in data engineering and analytics.
  • Advanced proficiency in SQL development and performance tuning.
  • Strong experience in developing and maintaining dbt projects.
  • Hands-on expertise with AWS services including S3, Glue, Lambda, Redshift, and Athena.
  • Strong development experience using Python for data engineering and automation.
  • Knowledge of data warehousing concepts, dimensional modeling, and workflow orchestration tools like Airflow.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Excellent communication skills with the ability to lead technical discussions and stakeholder workshops.
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