Tech Stack
AirflowApacheHadoopHDFSPySparkPythonSparkSQL
About the role
- ● Deliver successful deployment and Pilots
- ● Manage and design the Customer-specific technical solution throughout the project life cycle
- ● Technical leadership of Data Science & Engineering aspects and team members including partners
- ● Work on various data sources and apply sophisticated feature engineering capabilities
- ● Bring and use business knowledge
- ● Extract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big Data
- ● Build and manage technical relationships with customers and partners
- ● Provide product requirements input to the Product Management team
- ● Train the customers on the system – system usage and monitoring aspects
Requirements
- ● BSc in Computer Science, Statistics, Mathematics, Engineering, or related field.
- ● 2+ years of experience as a Data Engineer, Data Scientist, or Big Data Developer.
- ● Hands-on experience with Apache Spark, Python/PySpark, and SQL.
- ● Familiarity with Hadoop ecosystem (Hive, Impala, HDFS, Sqoop) and data pipeline optimization.
- ● Practical experience building or integrating AI agents and working with LLMs.
- ● Strong skills in data transformation, ML feature engineering, and analytics for financial services.
- ● Experience with workflow automation tools (Airflow, MLflow, n8n) and version control (GIT).
- ● Ability to work with customers, train teams, and deliver technical solutions.
- ● Fluent in English