Job Description

About MatchPoint Solutions

MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber Robinhood Netflix Airbnb Google and more. With a growing international presence across North America Europe Asia and South America we help organizations turn ideas into outcomes through cutting-edge technology industry best practices and deep technical expertise.

Were expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative high-growth environment.

Job Title: Data Engineer

Location: Remote

Duration: 09-12 Weeks

Employment Type: Contract

Pay Rate Range: $115 to $120

Position Summary

We are seeking a Mid/Senior Data Engineer to design develop and support scalable data pipelines and integrations across enterprise data platforms. This role will focus on building reliable data workflows managing data ingestion and transformation processes and supporting reporting infrastructure through standardized data delivery.

The ideal candidate will have strong experience working with Oracle databases workflow orchestration tools and Python-based data engineering solutions. This role will primarily support enterprise data movement transformation and integration activities with limited involvement in reporting visualization development.

Key Responsibilities

• Design build and maintain scalable data pipelines to ingest transform and deliver structured and semi-structured data.
• Develop and optimize ETL/ELT workflows using orchestration and data integration tools.
• Build and maintain data ingestion frameworks using enterprise data integration tools.
• Write efficient scalable SQL queries for data transformation and performance tuning.
• Develop reusable Python-based scripts for automation transformation and data validation.
• Configure and manage workflows using orchestration tools to ensure reliable pipeline execution.
• Integrate new data sources into existing reporting environments.
• Support Power BI connectivity by configuring new data source connections to existing reports (no dashboard design responsibilities).
• Monitor pipeline performance and troubleshoot failures or performance bottlenecks.
• Implement logging error handling and data validation controls.
• Collaborate with business analysts reporting teams and platform engineers to ensure reliable data delivery.
• Maintain technical documentation related to data pipelines data flows and integration patterns.
• Support data quality initiatives and enforce data governance best practices.

Primary Technical Skills (Required)

• Oracle Database (Oracle DB)
• Schema design and data modeling fundamentals
• Performance tuning and query optimization
• Stored procedures and data transformation
• Apache NiFi
• Data flow development
• Data ingestion and transformation pipelines
• Flow monitoring and troubleshooting
• Apache Airflow
• Workflow orchestration
• DAG creation and scheduling
• Pipeline automation
• Python
• Data processing scripts
• API integrations
• Automation workflows
• SQL
• Complex queries and joins
• Performance optimization
• Data validation logic
• Power BI (Limited Scope)
• Configure new data source connections
• Support existing reports
• No dashboard development or redesign responsibilities

Secondary / Nice-to-Have Skills

• Apache Spark
• Distributed data processing
• Batch and large-scale data transformation
• Trino
• Query federation across distributed data sources
• Kubeflow
• Pipeline orchestration in containerized environments
• ML workflow support
• PostgreSQL
• Database development and administration
• Query optimization

Preferred Qualifications

• Bachelors degree in Computer Science Data Engineering Information Systems or related field (or equivalent experience).
• 5 10 years of experience in data engineering or related roles.
• Experience working within enterprise or regulated environments.
• Familiarity with data governance data quality and data lineage concepts.
• Experience supporting data integration for reporting platforms.
• Ability to work independently and collaborate across cross-functional teams.

Equal Employment Opportunity

MatchPoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race color religion age sex national origin disability genetic information protected veteran status sexual orientation gender identity or expression or any other characteristic protected by applicable federal state or local laws.

This policy applies to all aspects of employment including recruitment hiring placement promotion termination layoffs recall transfers leaves of absence compensation and training.

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