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Associate Principal - Architecture

Job Req Id:  1263060

Data Architect :

Responsibilities:

• Participate in data model design, development, and implementation with Databricks.

• Interact with business users and data owners to understand, analyse and design data models based on their requirements.

• Analyse, organise and combine data from different sources

• Evaluate business needs and objectives.

• Conduct complex data analysis and report on results.

• Develop stored procedures and views and work on optimising SQL queries and ETL jobs.

• To leverage technology and integrate new transformed datasets into the data pipeline architecture.

• To be able to execute with discipline and deliver appropriate documentation.

• Prioritize backlog and ensure our datasets are accurate and up to date.

Required Requirements:

• University degree in Science, Mathematics, Computer Science, Information Technology, or equivalent

• Proven experience with Data automation using analytical skills.

• Expert level proficiency in Python, Spark, SQL, and Cloud environment preferable AWS

• Experience working on end-to-end data science pipeline: problem scoping, data gathering, transformation, Exploratory data analysis (EDA), extracting insights, visualisations, monitoring and maintenance.

• Ability to retrieve, interrogate, manipulate, and analyse data and present findings.

• Ability to create efficient solutions to complex problems.

• Strong knowledge and experience working with databases (MS SQL Server, PostgreSQL)

• Excellent communication and strong presentation skills to the broader audience is essential

• Experience in working and leading processes in agile work streams driving data quality and improvements, experience with Visual Studio (VSTS) desirable but not essential

• Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive required outcomes.

• Technical expertise in data models, data mining, and segmentation techniques

• Knowledge of programming languages (e.g. Java and Python)

• Hands-on experience with SQL database design

• Great numerical and analytical skills

Preferred Requirements:

• Knowledge of various commodity markets

• Knowledge of machine learning, probability theory, statistics, algorithms, NLP and Deep Learning.

• Experience in Unified analytics platforms like Databricks is beneficial.

• Knowledge of deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc

Min Salary: 
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Job Segment: Database, SQL, Data Mining, Computer Science, Java, Technology

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