Senior Data Engineer - Real Time Analytics

Required Skill set: (Please don't apply if you do not have these skills and experience)

• Proven experience as a Data Engineer
• Familiarity with real-time data processing and analytics.
• Strong proficiency in Python programming for data engineering tasks. Experience using Python libraries and frameworks.
• Strong hands-on experience with real-time data streaming technologies such as AWS Kinesis, Apache Kafka, Apache Flink, or similar technologies.
• Solid understanding of SQL and experience working with relational databases (e.g., Aurora)).
• Experience with data warehousing concepts and tools (e.g., Amazon Redshift, Snowflake).
• Experience with data lake and Lakehouse concepts and tools (e.g., Apache Iceberg, Hive, etc).
• Knowledge of data modeling, ETL processes, and data integration best practices.
• At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skills.
• Familiarity with Agile Development principles
• Experience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms.
• Experience with software engineering tools, such as Eclipse, Git, and others.
• Able to write clean, maintainable code, and read code created by others.
• Highly collaborative, fast learner, willing to jump in and help wherever needed.
• Enthusiasm for learning and experimenting with latest trends and advancements in real-time data engineering and analytics technologies.

• Undergraduate degree in a related field or the equivalent combination of training and experience
• Software Development experience
• Strong written and oral communication skills
• Strong, demonstrated analysis and problem-solving skills.
• Strong planning and organizational skills
• Ability to implement instrumentation to gather business-specific metrics around consumer usage patterns.