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Senior Data Engineer

1 day, 14 hours ago
Bolivia, Peru, Colombia, Costa Rica
Senior
Data Engineer
Software Development
Agile Apache Spark AWS CI/CD Databricks Git Kafka MySQL Oracle PostgreSQL Python Scrum SQL SQL Server
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Coforge

Coforge

Coforge is a global digital services provider specializing in transforming businesses through technology and industry expertise, powering growth with innovative solutions and platforms.

IT Services
10K-50K
Founded 1992
View All Jobs 50

Description

  • Write, optimize, and maintain complex SQL across multiple database platforms and Databricks Spark SQL.
  • Design, develop, and support data ingestion pipelines using APIs, file ingestion, and CDC patterns.
  • Build and optimize Databricks Lakehouse architectures using the Medallion model.
  • Own stored procedures, views, and functions supporting production workflows and reporting.
  • Perform database performance tuning, query optimization, execution plan analysis, indexing, and partitioning.
  • Design and maintain dimensional models and star schemas for analytical workloads.
  • Collaborate with software engineering teams on integrations, migrations, access patterns, and API data contracts.
  • Support data migration, validation, reconciliation, and production go-live activities.
  • Implement ETL/ELT processes with automated testing, monitoring, alerting, and data quality controls.
  • Contribute to data governance, security, lineage tracking, and compliance across data platforms.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • 3+ years of hands-on experience writing production-grade SQL.
  • Strong expertise with at least two relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle.
  • Advanced knowledge of CTEs, window functions, recursive queries, query plan analysis, and stored procedure development.
  • 2+ years of experience building data processing pipelines using Python or PySpark.
  • Experience designing and maintaining dimensional models and star schemas.
  • Solid understanding of Git, CI/CD pipelines, code reviews, and Agile/Scrum methodologies.
  • Experience working with distributed and offshore teams across multiple time zones.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Preferred experience with Databricks, Lakehouse architecture, and Medallion patterns.
  • Preferred experience with AWS services such as Aurora, Glue, S3, Lambda, and EventBridge.
  • Preferred background in Financial Services, Loan Servicing, or FinTech environments.
  • Preferred familiarity with event-driven architectures, CDC patterns, Kafka, or MSK.
  • Preferred experience with data governance, security controls, and handling PII or sensitive financial data.
  • Preferred experience with OutSystems or other low-code platforms.
  • Preferred experience using AI-assisted development tools such as Claude Code or similar solutions.
  • Preferred exposure to Databricks Mosaic AI or other LLM-powered data technologies.

Benefits

  • Remote work mode.
  • Opportunity to work with modern data platforms and enterprise-scale systems.
  • Hiring based solely on skills, with no discrimination across age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Interested in this position?

Apply directly on the company website

Apply Now

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