Data Engineer I (Remote)
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Key skills for this role
About the Role
A global leader in Software Development is seeking a Data Engineer on a contract basis to build and optimize data pipelines. The role involves designing, constructing, and maintaining scalable data infrastructure to support analytics and business intelligence.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets
- Build and optimize data infrastructure to support real time and batch processing workflows
- Collaborate with cross functional teams to identify data requirements and ensure alignment with business goals
- Implement data quality checks and monitoring to maintain accuracy and reliability of data assets
- Troubleshoot and resolve issues in data pipelines, ensuring minimal downtime and maximum efficiency
Requirements
- Proficiency in Python, SQL, and experience with data pipeline frameworks such as Apache Airflow or similar
- Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (Snowflake, BigQuery, or Redshift)
- Strong understanding of ETL processes and data modeling techniques
- Familiarity with stream processing technologies (Kafka, Spark Streaming) is a plus
- Ability to work independently in a remote environment with strong problem solving skills
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role focuses on building and optimizing data pipelines to ensure efficient data flow between systems.
- You will design, construct, load, and optimize data structures and databases. Responsibilities include integrating data from various sources to support analytics and business intelligence initiatives.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets.
- Build and optimize data infrastructure to support real time and batch processing workflows.
- Collaborate with cross functional teams to identify data requirements and ensure alignment with business goals.
- Implement data quality checks and monitoring to maintain accuracy and reliability of data assets.
- Troubleshoot and resolve issues in data pipelines, ensuring minimal downtime and maximum efficiency.
Required Skills & Qualifications
- Proficiency in Python, SQL, and experience with data pipeline frameworks such as Apache Airflow or similar.
- Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (Snowflake, BigQuery, or Redshift).
- Strong understanding of ETL processes and data modeling techniques.
- Familiarity with stream processing technologies (Kafka, Spark Streaming) is a plus.
- Ability to work independently in a remote environment with strong problem solving skills.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability and performance of data systems that drive business decisions.
- The project involves building robust infrastructure to support high volume data processing and analytics.
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