Senior Data Engineer – Data Warehouse (Python | SQL | dbt | Snowflake/Databricks)

Location: Hyderabad, India (Remote / Hybrid)

Experience: 510 years

Employment Type: Full-time

Compensation: Competitive (top of market for strong candidates)

We are hiring Senior Data Engineers / Analytics Engineers to build and operate modern cloud data warehouse platforms for US hedge funds and investment firms .

This is a hands-on backend data engineering role focused on Python, SQL, dbt, and cloud data warehousing not a dashboard or reporting-only position.

If you enjoy fixing broken data pipelines , cleaning messy raw data , optimizing warehouse queries , and building reliable dbt models , this role is for you.

• Build, maintain, and optimize ETL / ELT data pipelines using Python, SQL, and dbt
• Ingest raw data from CSV, Excel, APIs, S3 / ADLS and normalize into clean warehouse models
• Design staging intermediate mart layers using dbt
• Debug, repair, and backfill production data pipelines
• Optimize Snowflake / Databricks / Redshift / Synapse query performance
• Implement data quality checks, validations, and monitoring
• Handle schema drift, late-arriving data, and vendor inconsistencies
• Work closely with analysts, quants, and US-based stakeholders
• Own reliability, correctness, and scalability of data systems
  

• Strong hands-on experience as a Data Engineer / Analytics Engineer
• Excellent Python skills for data processing and pipeline development
• Advanced SQL skills (CTEs, window functions, query optimization)
• Real-world experience with dbt (models, tests, YAML, transformations)
• Experience with cloud data warehouses :
• Snowflake , Databricks , Redshift , or Azure Synapse
• Experience building ETL / ELT pipelines in cloud environments
• Ability to debug and fix broken or unreliable data pipelines
• Experience working with large, messy, real-world datasets
  

• Spark / PySpark experience
• Airflow or workflow orchestration tools
• Experience with financial, payments, or time-series data
• Knowledge of data quality frameworks and testing
• Experience working with remote or global teams
  

• Not a Power BI / Tableau / Looker-only role
• Not a low-code or drag-and-drop ETL role
• Not a reporting-focused analytics role

This is a backend data engineering & data warehouse role .

• Work on high-impact data platforms used by global hedge funds
• Strong engineering culture focused on clean code and ownership
• Competitive compensation aligned with top Hyderabad market talent
• Remote-friendly with flexible work options
• Opportunity to grow into Lead Data Engineer / Architect roles
  

Apply directly on LinkedIn or message us if you have experience in Python-based data pipelines, dbt modeling, and cloud data warehousing .