
Chief Data Solutions Architect
24 hours ago
Job Summary:
- Lead the design, development and deployment of scalable data pipelines and ETL processes using Scala and Apache Spark.
Key Responsibilities:
- Develop and maintain robust data processing workflows using PySpark and Python.
- Collaborate with data scientists, analysts and stakeholders to understand data requirements.
- Architect and implement data ingestion, transformation and integration solutions.
- Optimize Spark jobs for performance and cost efficiency on cloud platforms.
- Lead, mentor and guide a team of data engineers, ensuring best practices in coding, testing and deployment.
- Establish and enforce data engineering standards, code reviews and documentation.
- Troubleshoot and resolve complex data pipeline issues.
- Stay current with emerging technologies and recommend improvements to existing infrastructure.
Strong candidates will possess:
- Bachelor's or Master's degree in Computer Science, Engineering or a related field.
- 10+ years of professional experience in data engineering.
- Deep understanding of functional programming concepts and hands-on experience with Scala.
- Extensive experience with Apache Spark, including Spark SQL, Spark Streaming and optimization techniques.
- Proficiency in Python and PySpark for data processing tasks.
- Experience working with Databricks or similar cloud-based Spark platforms.
- Solid understanding of distributed computing, big data architectures and data modeling.
- Experience with cloud platforms such as AWS, Azure or GCP.
- Familiarity with data storage technologies like HDFS, S3, Delta Lake and relational/non-relational databases.
- Strong leadership skills with experience leading and mentoring engineering teams.
- Excellent problem-solving, communication and collaboration skills.
How You'll Thrive:
- Opportunity to work with cutting-edge technology and innovative projects.
- Chance to collaborate with talented professionals in the field.
- Professional growth and development opportunities.
- Positive and supportive work environment.
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