Description

You will build and deploy production-level data-driven applications, data processing pipelines, and machine learning systems at scale.

Responsibilities

• Build and deploy data processing workflows and production-level data-driven applications.
• Implement machine learning systems covering data ingestion, feature engineering, modeling, tuning, and monitoring.
• Develop Big Data products and platforms using Spark job tuning and Hadoop ecosystems.
• Lead collaborative work on complex engineering projects within an Agile/Scrum environment.
• Design and develop data lakes and data warehouses using advanced data modeling and integration techniques.

Required Skills

• 13+ years of professional experience in data engineering or related fields.
• Expert proficiency in Python, Scala, and Spark, including job tuning.
• Strong hands-on experience with Hadoop platforms and tools such as Hive, Impala, Airflow, and NiFi.
• Advanced knowledge of SQL and higher-level programming languages.
• Extensive experience in data warehousing, data lake development, and data modeling.
• Proficiency in Java, Scala, and Python for building scalable systems.
• Strong background in Analytics, Computer Science, and statistical analytical techniques.
• Experience with machine learning algorithms, predictive analytics, and data mining.
• Proven ability to manage data processing workflows and implement machine learning at scale.

Preferred Skills

• Experience developing and configuring dashboards.

Key Skills

Education

Any Graduate