Sr Associate Data Engineer

d processing

• Be a key team member that assists in design and development of the data pipeline

• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems

• Contribute to the creation of metric dashboards, self-serve analytics, and business insights using Tableau or Power BI

• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency

• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

• Adhere to best practices for coding, testing, and designing reusable code/component

• Exploratory data analysis, understand business knowledge, do feature engineering

• Support generation of annual product review documents, regulatory inspections, and process documentation

• Work with data engineers on data quality assessment, data cleansing and data analytics

Basic Qualifications and Experience:

• Master's degree and 5 to 8 years of Computer Science, IT or related field experience OR

• Bachelor's degree and 5 to 8 years of Computer Science, IT or related field experience OR

• Diploma and 5 to 8 years of Computer Science, IT or related field experience

Functional Skills:

Must-Have Skills

• Hands on experience with big data technologies and platforms, such as Databricks (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing

• Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training

• Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools

• Proficiency with data visualization platforms like Tableau, Power BI, or matplotlib/seaborn for Python

• Excellent problem-solving skills and the ability to work with large, complex datasets

Good-to-Have Skills:

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development

• Strong understanding of data modeling, data warehousing, and data integration concepts

• Interest in GenAI/LLM technology and building data products that support natural language interfaces

Professional Certifications:

• Certified Data & Analytics professional

Soft Skills:

• Excellent critical-thinking and problem-solving skills

• Strong communication and collaboration skills

• Demonstrated awareness of how to function in a team setting

• Demonstrated presentation skills

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