AWS/Databricks Engineer

Description

We are looking for an experienced AWS/Databricks Engineer to join our team in Houston, Texas. This is a long-term contract position ideal for professionals with a strong background in data engineering and cloud technologies. The role will focus on leveraging Python and Databricks to optimize data processes and enhance system performance.

Responsibilities:
Develop and implement scalable data engineering solutions using Python and Databricks.
Collaborate with cross-functional teams to design and optimize data workflows.
Migrate and enhance existing Python scripts to Databricks for improved functionality.
Utilize cloud technologies to support data integration and analytics processes.
Implement algorithms and data visualization methods to present actionable insights.
Design and maintain APIs to streamline data interactions and integrations.
Work with tools like Apache Kafka, Spark, and Hadoop to manage large-scale data systems.
Perform data analysis and develop strategies to improve system efficiency.
Ensure high-quality data pipelines and address performance bottlenecks.
Stay updated on emerging trends in data engineering and recommend innovative solutions.

Requirements

Proven experience as a Data Engineer with expertise in Python and Databricks.
Solid understanding of cloud technologies, particularly AWS.
Hands-on experience with Apache Kafka, Spark, and Hadoop.
Proficiency in developing and maintaining APIs.
Strong background in data visualization and analytics.
Ability to implement algorithms for data processing and analysis.
Knowledge of Apache Pig and other data tools.
Excellent problem-solving skills and attention to detail.

Technology Doesn't Change the World, People Do.

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