Job Description

Introduction

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As Senior Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You will be responsible for collecting data from multiple sources and building optimal pipelines to process & leverage the data to meet various business requirements. You will be responsible for the execution of our data strategy through design and development of the Data platform using, but not limited to, AWS technologies, Airflow and Snowflake to deliver Reporting, BI and Analytics solutions. You will be working closely with business and technical stakeholders to aggregate, analyze & transform data to report insights.

Job Responsibilities

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Create and maintain optimal data pipeline architecture Assemble, analyze and organize large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using DBT, SQL, Snowflake and AWS/GCP 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics Assist the data science team by preparing data for prescriptive and predictive modelling Collaborating with the data architects, analysts and scientists on the team

Knowledge and Experience

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5+ years of experience as a Data Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Experience in SQL Experience with building data pipelines and applications to stream and process datasets

- Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.

Knowledge of Engineering and Operational Excellence using standard methodologies. Expertise in designing systems and workflows for handling Big data volumes Knowledge of data management fundamentals and data storage principles Strong problem-solving skills and ability to prioritize conflicting requirements. Excellent written and verbal communication skills and ability to succinctly summarize key findings. Experience working with AWS Big Data Technologies (EMR, Redshift, S3)

Education

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Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent

Competencies

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Driving Continuous Improvement
Driving for Results
Driving Projects to Completion
Interacting with People at Different Levels
Using Computers and Technology