We’re looking for a Senior Data Engineer to join the data analytics team of a top-tier U.S. retail company. 

Key Responsibilities
- Design and implement sustainable data and reporting solutions.
- Write, optimize, and maintain complex SQL queries for analysis and reporting.
- Collaborate with cross-functional teams to gather requirements and translate them into scalable data products.
- Develop and enhance dashboards and reports for business teams.
- Conduct thorough testing, validation, and QA of data products.
- Monitor performance and ensure high data quality and integrity.
- Provide ongoing support and maintenance for data analytics solutions.

Must-Have Qualifications
- Bachelor’s degree in Computer Science, Engineering, MIS, or a related technical field.
- 5+ years of experience working with BI tools: preferably MicroStrategy
- Strong proficiency in SQL and scripting for data analysis.
- Hands-on experience with Databricks Snowflake, and SQL Server or similar platforms.

Key Responsibilities:
- Design, develop, and optimize data pipelines and ETL processes.
- Implement scalable big data solutions using AWS, Spark, Scala, Java, and Airflow.
- Collaborate with data scientists and analysts to ensure efficient data processing and analysis.
- Maintain and improve data architecture, ensuring reliability and performance.
-Troubleshoot and resolve data quality and performance issues in existing pipelines.
- Ensure best practices for security, compliance, and governance in data engineering.

Qualifications & Requirements:
- Proficiency in AWS cloud services (Lambda, S3, Redshift, Glue, etc.).
- Strong experience with Spark for large-scale data processing.
- Expertise in Scala and Java for backend data engineering. 
- Hands-on experience with Airflow for workflow automation.

Soft Skills:
- Excellent communication skills in English (B2 Medium+ to C1 Advanced-).

Key Responsibilities:
☞ Design and develop scalable ETL solutions for data integration into non-SQL repositories.
☞ Publish data across dashboards to drive insights and support decision-making.
☞ Work closely with cross-functional teams to enhance data flow and integration.

Must-Have Skills:
☞ Advanced proficiency in Scala.
☞ Solid experience in designing and managing ETL processes.

Preferred Skills:
☞ Knowledge of PySpark, Kafka, data pipelines, MongoDB, SQL Server, AWS, and data streaming.

Language Requirement:
☞ English: B2 level or higher (medium proficiency in reading, writing, and speaking).

What’s in it for You:
☞ A fully remote, contractor role in a leading real estate tech company.
☞ Opportunity to work in an innovative, growth-focused environment.


Job positions: Trabajos de Data Engineer Senior

Data Engineer Senior

Data Engineer Senior

Data Engineer Senior