À propos
Location: Leawood, KS (Hybrid)
Job Type: Contract
Job Description:-
We are seeking a skilled
Data Engineer
to design, build, and maintain scalable data pipelines and data infrastructure that support analytics and business intelligence initiatives. The ideal candidate will have strong experience with
data integration, ETL processes, data modeling, and cloud-based data platforms , enabling reliable data flow across systems.
Key Responsibilities Design, develop, and maintain
data pipelines and ETL processes
to ingest, transform, and load data from various sources. Build and optimize
data architectures and data models
to support analytics and reporting needs. Work with large datasets to ensure
data quality, integrity, and performance optimization . Collaborate with
data analysts, data scientists, and business stakeholders
to understand data requirements and deliver solutions. Implement
data validation, monitoring, and error-handling mechanisms
to ensure reliable data processing. Develop and maintain
data warehouses and data lakes
for efficient data storage and retrieval. Optimize SQL queries and improve performance of existing data pipelines. Support
data governance, security, and compliance standards . Document data workflows, architecture, and processes. Required Qualifications
Bachelor's degree in
Computer Science, Information Systems, Engineering, or a related field . 4-8 years of experience
as a Data Engineer or similar role. Strong experience with
SQL and database technologies
(SQL Server, PostgreSQL, Oracle, etc.). Hands-on experience with
ETL tools or frameworks
such as Informatica, Talend, SSIS, or Apache Airflow. Proficiency in
Python, Scala, or Java
for data processing. Experience working with
cloud platforms
such as AWS, Azure, or Google Cloud. Strong understanding of
data warehousing concepts and dimensional modeling . Experience working with
big data technologies
like Spark, Hadoop, or Kafka. Familiarity with
CI/CD pipelines and DevOps practices . Preferred Qualifications
Experience with
Snowflake, Databricks, or Redshift . Knowledge of
data lake architectures
and streaming data pipelines. Experience with
containerization tools such as Docker or Kubernetes . Exposure to
BI tools like Tableau, Power BI, or Looker .
Compétences linguistiques
- English
Avis aux utilisateurs
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