Remote Senior Data Engineer

Nearshorecoders; Remote; USD 80,000 - 130,000; Full time

Job summary

An established industry player is on the lookout for a Senior Data Engineer who thrives in a dynamic environment and is passionate about data. In this exciting role, you will design and implement scalable data architectures, focusing on creating efficient ETL processes that ensure seamless data flow. Your expertise will help in optimizing data models and enhancing data governance, making a significant impact on business intelligence. If you have a growth mindset and love tackling new challenges, this opportunity will allow you to innovate and contribute to cutting-edge projects that drive success.

Qualifications

• 5+ years of experience in Data Engineering with a focus on ETL processes.
• Strong proficiency in Python, SQL, and data architecture design.

Responsibilities

• Design and maintain scalable data architectures and ETL processes.
• Collaborate with teams to ensure data quality and optimize performance.

Skills

Data Engineering

ETL Processes

Python

SQL

Apache Spark

Data Governance

Data Modeling

Tools

Amazon Redshift

Google BigQuery

Snowflake

AWS

GCP

Azure

Job description

Minimum Requirements:

• Minimum of 5 years of professional experience in Data Engineering
• Proven experience designing and implementing data architectures and ETL processes.
• Proficiency in data engineering tools and languages (e.g., Python, SQL, Apache Spark).
• Experience with data warehouse platforms (e.g., Amazon Redshift, Google BigQuery, Snowflake).
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Strong understanding of data modeling concepts and the ability to design effective data models.
• Data Governance: Knowledge of data governance principles, data quality management, and data security best practices.

Job Description:

• We are looking for a Senior Data Engineer for one of our clients. You are a perfect candidate if you are growth-oriented, love what you do, and enjoy working on new ideas to develop exciting products.
• Design, implement, and maintain scalable and efficient data architectures, including data warehouses, data lakes, and ETL processes.
• Lead the development of robust and scalable Extract, Transform, Load (ETL) processes to ensure the seamless flow of data between systems.
• Collaborate with cross-functional teams to integrate data from various sources, ensuring data quality, consistency, and accuracy.
• Develop and implement data models to support business requirements, ensuring data is structured for optimal performance and analytical capabilities.
• Identify and address performance bottlenecks within the data infrastructure, optimizing queries and processes for efficiency.
• Implement and enforce data governance policies, ensuring compliance with data privacy regulations and maintaining data security.
• Implement automation strategies for data processing, monitoring, and maintenance tasks, reducing manual intervention and improving reliability.