Senior Data Engineer

2 days ago

Addison, United States Resolve Tech Solutions Full time

About the Role:

We are seeking a highly skilled Senior Data Engineer to join our team and play a pivotal role in designing, developing, and maintaining our data infrastructure. This role requires a deep understanding of data engineering principles, big data technologies, and cloud platforms.

Key Responsibilities:

  • Data Pipeline Development:
  • Design, develop, and deploy robust data pipelines to ingest, process, and transform large volumes of data from various sources.
  • Utilize a variety of tools and technologies, such as Apache Spark, Kafka, and SQL, to extract, transform, and load (ETL) data.
  • Data Modeling and Architecture:
  • Develop and implement data models and schemas that are efficient, scalable, and aligned with business needs.
  • Design and maintain data warehouses, data marts, and data lakes.
  • Cloud Platform Expertise:
  • Leverage cloud platforms like AWS, GCP, or Azure to build and manage data solutions.
  • Utilize cloud-native services for data storage, processing, and analytics.
  • Data Quality and Monitoring:
  • Ensure data quality and consistency through rigorous testing and validation.
  • Implement monitoring and alerting systems to proactively identify and resolve data issues.
  • Performance Optimization:
  • Optimize data pipelines and queries for optimal performance and efficiency.
  • Identify and resolve performance bottlenecks.
  • Collaboration and Teamwork:
  • Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs.
  • Work effectively in a cross-functional team environment.

Required Skills and Qualifications:

  • Strong proficiency in SQL and Python or Scala.
  • Experience with big data technologies such as Hadoop, Spark, Kafka, and Hive.
  • Knowledge of cloud platforms (AWS, GCP, or Azure) and their data services.
  • Understanding of data warehousing and data lake concepts.
  • Experience with data modeling and ETL processes.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Experience with data visualization tools like Tableau or Power BI.
  • Knowledge of machine learning and AI concepts.
  • Certifications in cloud platforms or data engineering.

If you're a passionate data engineer who enjoys solving complex data challenges and building scalable data solutions, we encourage you to apply.

Data* AND Warehouse* AND ETL AND Model* AND SQL AND Python AND (“Hadoop OR Spark OR Kafka OR Hive) AND Lake* AND (AWS OR Azure OR GCP) AND (ML OR AI OR “Artificial Intelligence” OR “Machine Learning”) AND (Tableau OR “Power BI” OR PowerBi)

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