Engineer I, Data Engineering

Role and Responsibilities

• Understand and document scope and requirements through interactions with analysts and stakeholders.
• Design and develop scalable code based custom ETL pipelines using big data technologies on Cloud platform.
• Design and develop code to ingest data from a variety of data sources such as Relational databases, APIs and files.
• Develop Complex SQL transformations on Bigquery.
• Code and query Optimization.

Follow and contribute to engineering best practices for source control using Github, release management, deployment etc. Provide production support, job scheduling/monitoring, ETL data quality, data quality reporting. Contribute to software development and business management by effectively solving business-related software problems through data modeling/analysis/prediction.

• Establish/support software and infrastructure that continuously grows to strategically analyze big data.
• Understand and implement software data analysis strategies that meet business strategy.
• Establish and operate software and infrastructure that can collect/analyze/predict big data (structured/unstructured).
• Design and operate software structure that can maintain data integrity.

Proceed with software data model for business-related decision-making and evaluate data model's consistency. Establish a software security system for data and protect from unauthorized users.

Skills and Qualifications

Bachelor's degree in Computer Science, Applied Computer Science, Computer Applications, Computer Engineering, Information Technology, a related field, or a foreign equivalent plus 3 years post-baccalaureate experience in job offered or any engineering/IT related job titles.

Applicants must have 3 years of experience in the following: (1) statistical analysis and predictive modeling using Python; (2) ETL development using python and SQL; (3) GitHub, development IDEs including VS code.; (4) data manipulation using SQL; (5) design, execution, and measurement of A/B and multivariate tests; (6) GCP services including Bigquery, Kubernetes and Composer and Apache Airflow; (7) performing data analysis on data visualization dashboards Superset, Jupyterlab, Tableau or PowerBI; (8) software tools including Jira and Confluence; and (9) working in the big data domain including providing production support, job scheduling/monitoring, ETL data quality, and data quality reporting.

No sponsorship available for this position.

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