Description
- Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
- Project experience through all phases of the project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment.
- Conduct data analysis to identify insights and trends.
- Develop and deploy machine learning models.
- Collaborate with data engineers to ensure data availability and quality.
- Provide recommendations for AI strategy and implementation.
- Stay updated on the latest AI and data science developments.
- Assist clients in understanding and interpreting AI and data-driven insights.
- Troubleshoot and debug AI algorithms as needed.
- Document and communicate project progress and results to clients.
Requirements
- A Bachelor's Degree in Computer Science, Software Engineering, Statistics, Mathematics, or related disciplines from a reputable university.
- 5-8 years of relevant experience as a Data Engineer or relevant roles.
- Good command of written and spoken English.
- Drive, tenacity, client focused and results oriented.
- Excellent communication and presentation skills.
- Experience with databases (SQL server and NoSQL)
- Programming languages: Python/Java/Scala & Unix Shell scripting
- Data warehouse technologies: Redshift/Snowflake/BigQuery
- Data lake technologies: Hadoop, Spark, and Hive
- Orchestration: Airflow/Control-M/(Any Orchestration tool)
- Experience working with Agile software engineering tools and applying Agile methodologies in a pragmatic manner.
- Experience with Azure Data Factory, Azure Synapse, AWS glue, Redshift, BigQuery, Dataproc, Snowflake, Databricks, etc.
| Created on | 15 Jan 2024 |
| Last updated on | 18 Dec 2024 |
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