Senior Data Engineer (Tableau + Real Estate)

Job Title: Senior Data Engineer (Tableau + Real Estate)

Location: Hyderabad - Onsite

Night shift starting 9.30 pm ist

Exp- 5+ yrs

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and workflows (e.g., Airflow)
• Model, transform, and maintain datasets, tables, and files for analytics and operations
• Develop, optimize, and govern Tableau dashboards, data sources, and extracts
• Ensure data quality, lineage, documentation, and reliability across systems
• Integrate third-party real estate data sources and APIs into the warehouse
• Partner with the Data Lead and stakeholders to translate requirements into data products
• Own performance tuning, cost efficiency, and monitoring for data jobs
• Support knowledge transfer and collaborate across time zones as needed

Required Skills & Experience

• Expert-level Tableau (calcs, LODs, data modeling, performance optimization, governance)
• Strong data engineering: ETL/ELT, orchestration (Airflow), transformations, maintenance
• Advanced SQL and at least one programming language (Python preferred)
• Experience with data warehousing/lakehouse (e.g., Snowflake, BigQuery, Redshift, Databricks) and version control (Git)
• Proven attention to detail; delivers high-quality, accurate analytics
• Operates independently with strong problem-solving and fast learning aptitude
• Comfortable working EST hours

Preferred (Real Estate Domain)

• Understanding of real estate data structures and workflows
• Experience with property management systems and CRE data: Yardi, RealPage, CoStar, Reonomy, LoopNet, Crexi, ATTOM, Cherre, CompStak, Buildout, CoreLogic, Melissa, Zillow/Redfin/Realtor.com
• Familiarity with APIs and data ingestion from external CRE sources

Nice to Have

• dbt or similar transformation frameworks
• CI/CD for data, testing frameworks, data catalog/lineage tools
• Tableau Server/Cloud administration
• Experience with API design/consumption and microservices

Attributes

• High IQ, high ownership, bias to action
• Detail-oriented, independent, and quick to learn
• Strong communication with stakeholders and engineers

Warm Regards,

Vijaylaxmi Gupta

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