About the Role
We are looking for a Data Engineer with 3–4 years of experience in building scalable data pipelines and ETL/ELT workflows. The ideal candidate should have strong Python and SQL skills, experience integrating data from multiple sources, and a passion for delivering high-quality, reliable data solutions.
- Build and maintain scalable ETL/ELT pipelines.
- Develop data ingestion, transformation, and validation workflows.
- Optimize SQL queries and database performance.
- Monitor and troubleshoot data pipelines.
- Collaborate with cross-functional teams to deliver data solutions.
- Ensure data quality, governance, and documentation.
- Python, SQL, Pandas, NumPy
- ETL/ELT, Data Modeling, Data Validation
- PostgreSQL, MySQL (MongoDB/Firestore is a plus)
- REST APIs, JSON/XML
- Git, Docker, CI/CD
- AWS, Microsoft Fabric
- Snowflake or other data warehouses
- Distributed data processing
- Data governance and monitoring tools
- Bachelor's degree in Computer Science, IT, or related field.
- 3–4 years of experience in Data Engineering.
- Strong analytical, problem-solving, and communication skills.
A proactive engineer who can build scalable data solutions, ensure data quality, and work effectively with cross-functional teams.
Skills Required
- Bachelor's degree in Computer Science, IT, or a related field
- 3-4 years of experience in Data Engineering
- Strong Python and SQL skills
- Experience with Pandas and NumPy
- Experience building ETL/ELT pipelines and data ingestion, transformation, and validation workflows
- Experience with data modeling and data validation
- Experience with PostgreSQL and MySQL
- Experience with REST APIs and JSON/XML
- Experience with Git, Docker, and CI/CD
- Experience with AWS and Microsoft Fabric
- Snowflake or other data warehouses
- Distributed data processing
- Data governance and monitoring tools
- Strong analytical, problem-solving, and communication skills
What We Do
TalkingLands is a real estate intelligence and transaction platform focused on spatial intelligence and property data. It helps buyers discover and book properties while enabling users to analyze locations through more than 150 data layers. The company uses AI-powered mapping technology to support property discovery, exploration, management, and broader real estate decision-making for industry participants.
.jpeg)
