IT Data Engineer

Here's what you'll be doing:

• Partner with business stakeholders: Collaborate closely with analysts to translate their needs into technical requirements and data-driven solutions.
• Ingest large scale data: Use python, Spark & SQL to pipeline data from business applications and products APIs.
• Architect and deliver robust Data solutions: Design and implement ETL pipelines and data warehouses Models using SQL and Python.
• Fuel machine learning and AI: Prepare and wrangle data, ensuring high quality and readiness for advanced analytics initiatives.
• Maintain data quality and performance: Ensure data integrity, accuracy, and optimal performance within data pipelines and BI systems.
• Collaborate for success: Partner closely with IT Infrastructure, DevOps, and Security teams to ensure seamless integration and secure deployment of all data solutions.
• Stay ahead of the curve: Continuously learn and stay updated on the latest data engineering and BI trends and technologies.

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Requirements

• Data Pipeline developer: Minimum 3 years of experience designing and implementing efficient ETL pipelines using industry-standard tools like Informatica, Rivery, SSIS, or equivalent.
• SQL Master: Deep expertise in writing complex queries and manipulating data with advanced techniques in Oracle, Snowflake, or similar relational databases – Minimum 3 years.
• Python Proficient: Strong ability to use Python libraries and frameworks (NumPy, Pandas, Spark) for data manipulation, analysis, and scripting tasks.
• Tools Specialist: Experience building and training BI models using Databricks or comparable tools. Experience with Rivery, Snowflake.
• Global Collaborator: Proven ability to collaborate effectively with geographically dispersed teams in a fast-paced environment.
• Communication Expert: Skilled in explaining technical concepts clearly to both technical and non-technical audiences.
• Problem Solver: Capacity to approach challenges with creative solutions and adapt quickly to evolving requirements.
• Multitasking Master: Demonstrated ability to manage multiple data workloads concurrently while delivering results efficiently.
• Fluent in spoken and written English.