We are looking for a skilled, motivated, and dedicated Data Analytics Engineer to help build some of the most advanced data products.

Responsibilities

• Working closely with the analyst market experts and data science team to develop data models and cloud pipelines for market research, reporting, and generative AI.
• Using data and building up to date datasets to solve business problems, answer questions and improve processes.
• Helping drive scalable data sharing and integration practices.
• Defining metrics, guidelines and strategies for effective use of algorithms and data.
• Building and maintaining the infrastructure required for optimal ETL frameworks and processes that collect, import, load, clean, integrate and process data from various internal and external data sources using SQL and AWS technologies.

Qualifications

• Bachelor’s degree or equivalent in computer science, data science, information technology, mathematics, or related fields.
• Experience in data engineering or roles related to data engineering.
• Demonstrated strong technical knowledge of object-oriented programming in Python.
• Strong analytic skills related to working with unstructured datasets.
• SQL knowledge and experience working with relational databases.
• Proven ability to work independently and ensure completion of tasks accurately and on time.
• Strong English communication skills in both verbal and written form.
• Open to learn new technologies and tools.

Preferred Qualifications:

• 1+ years of experience in ML.
• Data engineering in a cloud environment.
• Familiarity with the AWS ecosystem.
• Proven work experience with Snowflake, PostgreSQL, Airflow, NoSQL databases, or distributed computing.