Our client is in the Construction / Home building space
Employees describe the company as “Family focused, offers work life balance, great benefits and Bonuses!!!
Located in the DTC area.
Exciting work that is challenging and always changing.
Company that has a great mission and is committed to their members. A core value of a community that cares about each other while acting in the service of others.
401k with 6%match!!
Key Responsibilities :
Design and Development : Design, build, and maintain scalable and robust data pipelines to support business intelligence, analytics, and machine learning.
Data Integration : Integrate data from various sources, including databases, APIs, and third-party systems, ensuring data consistency and quality.
Data Warehousing : Develop and maintain data warehousing solutions to support data analysis and reporting needs.
ETL Processes : Implement and manage ETL (Extract, Transform, Load) processes to automate data workflows and ensure timely data delivery.
Data Modeling : Develop and maintain data models and schemas to support business requirements and analytics use cases.
Performance Optimization : Optimize data storage and retrieval processes for performance and scalability.
Collaboration : Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
Data Quality : Monitor and improve data quality, ensuring accuracy, completeness, and reliability of data.
Documentation : Maintain comprehensive documentation of data pipelines, architectures, and processes.
Qualifications :
Education : Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
Experience : 3+ years of experience in data engineering or a related field.Proven experience with data pipeline and workflow management tools (e.g., Apache Airflow, Luigi).IBM Data platform experience a huge plus!Experience with big data tools and technologies (e.g., Hadoop, Spark, Kafka).Experience with relational SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).Experience with cloud services (e.g., AWS, Azure, Google Cloud).
Technical Skills : Proficiency in programming languages (e.g., Python, Java, Scala).Strong knowledge of data modeling, ETL processes, and data warehousing concepts.Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
Excellent problem-solving and analytical skills.Strong communication and collaboration skills.Ability to work in a fast-paced, dynamic environment