10025 - Sr. Big Data Engineer

10025 – Sr. Big Data Engineer

Job Summary

Design, build, and maintain the Information/Proposed Changes platform that enables large-scale data processing and analysis. Responsible for developing and maintaining data pipelines, data lakes, and other data-related platform. Work closely with data scientists, analysts, and other stakeholders to ensure that data is properly collected, stored, and processed for analysis and reporting purposes. Implement and maintain data security and access controls to ensure that data is protected. Responsible for troubleshooting and resolving technical issues related to data infrastructure and ensuring that data systems are scalable and efficient. Play a critical role in enabling organization to derive insights and value from their data assets.

ESSENTIAL FUNCTIONS

• This job requires experience in building and maintaining scalable data pipelines and robust data models from structured and unstructured sources for AI/ML.
• The ideal candidate should have advanced SQL skills and be able to query and transform large structured/unstructured datasets using Spark/PySpark, Spark SQL/Hive and Hive/NoSQL.
• They should also have experience in developing Big Data pipelines in orchestration tools such as Airflow and Oozie, designing tooling for access management, monitoring, data controls, and self-service ETL/Analytics pipelines.
• Other requirements include hands-on experience with On-Prem Big Data Platform, sound knowledge of Distributed Data Processing frameworks, resource management frameworks like YARN, and proficiency in writing data pipelines using Spark, Python and Scala.
• The ideal candidate should also have experience in developing frameworks/utilities in Python, working in a Dev/Ops environment, and following development best practices such as code reviews and unit testing.
• Additionally, the candidate should be able to diagnose software issues and engineering workarounds, have a good understanding of BI tools such as Tableau/Power BI and MicroStrategy for Big Data, and be able to lead, guide and assist team members with project development and problem solving.
• The candidate should also be flexible and able to learn and use new technologies, work well in a team environment as well as independently to achieve goals.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Required Skills, Attributes & Education

• Bachelor’s degree OR equivalent (with major course work in computer science) preferred
• 10+ years of IT experience working with hands on working experience, in software development, building data pipelines and data processing frameworks.
• 7+ years of experience as a Data Engineer
• Big Data Technologies: Knowledge of Big Data technologies such as Hadoop, Spark, Hive, Pig, Kafka, and NoSQL databases such as MongoDB, Cassandra, and HBase.
• Distributed Systems: Understanding of distributed systems and distributed computing principles.
• Programming Languages: Proficiency in programming languages such as Java, Python, Scala, and SQL.
• Data Modeling: Knowledge of data modeling techniques and tools to design efficient data structures for Big Data systems.
• Data Processing: Experience with data processing and ETL (Extract, Transform, Load) tools and techniques.
• Cloud Computing: Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud.
• Data Security: Knowledge of data security principles and experience implementing security measures for Big Data systems.
• Data Warehousing: Understanding of data warehousing concepts and experience designing and maintaining data warehouses.
• Analytics and Machine Learning: Familiarity with analytics and machine learning tools and techniques and their implementation in Big Data systems.
• Performance Tuning: Experience with performance tuning and optimization techniques for Big Data systems to ensure scalability, reliability, and high availability.

Certifications

Cloudera/Hortonworks/Databricks - Spark/Hadoop certification

Salary Range: $103,170 to $158,873