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Data Engineer - Tableau

DIGITALLOGICS HI-TECH SOLUTIONS PRIVATE LIMITED
Others
6 - 10 Years

Posted on: 11/12/2025

Job Description

Description :

Night (starting 7.30 pm IST) and the noon shift (starting 4 pm IST).

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


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