Specialist 3 Data Engineer-- Data and Analytics_Advisory

• Design, build, and maintain scalable data pipelines for a variety of cloud platforms including AWS, Azure, Databricks, and GCP.
• Implement data ingestion and transformation processes to facilitate efficient data warehousing.
• Optimize Spark job performance to ensure high efficiency and reliability.
• Stay proactive in learning and implementing new technologies to improve data processing frameworks.
• Collaborate with crossfunctional teams to deliver robust data solutions.
• Work on Spark Streaming for realtime data processing as necessary.

Qualifications

• 01 years of experience in data engineering with a strong focus on cloud environments.
• Proficiency in PySpark or Spark.
• Proven experience with data ingestion, transformation, and data warehousing.
• Indepth knowledge and handson experience with cloud services(AWS/Azure/GCP)
• Demonstrated ability in performance optimization of Spark jobs.
• Strong problemsolving skills and the ability to work independently as well as in a team.
• Cloud Certification (AWS, Azure, or GCP) is a plus.
• Familiarity with Spark Streaming is a bonus.

Degrees/Field of Study required Bachelor of Engineering Degrees/Field of Study preferred Python Frameworks, Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development