Sr. Data Analytics Manager to lead a team of engineers to build and maintain an Analytics Platform

Si Systems client is looking for a Data Analytics Manager who can manage a Data Engineering team and has primary responsibility of building and maintaining an Analytics Platform with high quality, clean data that can be used to power the analytics team and other verticals to make informed decisions with data.

This position is responsible for defining best practices around enterprise class data platforms and developing core data engineering capabilities including, but not limited to, data quality processes, data pipelines, data aging and change management systems as well as containerization and model automation.

The role manages a team of Data engineers responsible for building solutions which are flexible, performant and scalable. Incumbents must have in-depth knowledge of analytic platforms.

Position Responsibility:

Skills:

• Minimum of a Bachelor’s degree in Computer Science, engineering or related degree and seven (7) years of relevant experience including management or leadership experience or an equivalent combination of education, training and experience.
• Advanced working knowledge of ETL processes and databases including but not limited to redshift.
• Working knowledge of serverless ecosystem on AWS and its advantages and disadvantages.
• Good understanding of IT security processes around data.
• Experience with data pipeline and workflow management tools like AWS Step functions, Airflow.
• Experience integrating and maintaining data bricks or like solutions.
• Pushing machine learning models to and from mobile application.
• Experience with AWS cloud services: Redshift, Lambda, Glue (ETL tooling).
• Experience with data optimization and compression techniques like parquet, Avro, gzip, snappy.
• Experience with big data tools: Spark, Hadoop, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Manages a team of Data Engineers and is responsible for the delivery of a next gen Data Platform
• Identify and work with data scientist and analysts to understand their daily workloads and suggest techniques and tools for optimization.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS tools like glue, step functions, lambda and others.
• Develop relationships with IT config, security and other teams to understand and develop data science development lifecycle.
• Develop code in python to write serverless functions to automate the data flow as per existing architecture.
• Develop code in python for data quality for pipelines to reduce time spent on data cleaning.
• Develop integration patterns with third party and internal systems of data like salesforce, mobile and others.
• Develop partnerships with data, IT security, Cloud infrastructure and other teams to ensure timely execution of responsibilities for data science projects.
• Develop change management and data quality processes to ensure users of data are able to focus on insights.