Data Engineer I (Remote)

Quik Hire Staffing; España; A distancia; EUR 45.000 - 75.000; Jornada completa

Descripción de la vacante

Quik Hire Staffing is seeking a Data Engineer for a full-time role to build and optimize data pipelines and data structures that enable efficient data flow between systems. You will design, load, and optimize data structures and databases while integrating data from multiple sources to support analytics and business intelligence initiatives.

The role emphasizes scalable pipelines, real-time and batch processing, and collaboration with cross-functional teams, with a focus on data quality and

Formación

• Proficiency in Python, SQL, and data pipeline frameworks such as Apache Airflow or similar.
• Experience with cloud platforms (AWS, GCP, Azure) and data warehousing solutions (Snowflake, BigQuery, Redshift).
• Strong understanding of ETL processes and data modeling techniques.
• Familiarity with Kafka or Spark Streaming is a plus.
• Ability to work independently in a remote environment with strong problem-solving skills.

Responsabilidades

• 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.

Conocimientos

Python

SQL

Data pipelines

ETL processes

Data modeling

Independent work

Herramientas

Apache Airflow

AWS

GCP

Azure

Snowflake

BigQuery

Redshift

Kafka

Spark Streaming

Descripción del empleo

We are hiring for one of our clients, seeking a Data Engineer to work on a Full-Time 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.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.