Engineer I, Data Engineering

Samsung Electronics America; Plano (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Samsung Electronics America is seeking a data engineering professional to design and develop scalable ETL pipelines on a cloud platform, ingest data from diverse sources, and implement robust data quality.

You will optimize SQL on BigQuery, apply AB/multivariate tests, support production workloads, and help ensure data integrity and secure analytics for business decisions.

Qualifications

• Bachelor’s degree in Computer Science or related field with 3 years of related experience.
• Experience with Python for statistical analysis and predictive modeling.
• Strong ETL development and SQL data transformations.
• Proficient with GitHub, VS Code, Jira, Confluence.
• Hands-on with GCP services: BigQuery, Kubernetes, Composer, Airflow.
• Data visualization experience: Superset, JupyterLab, Tableau, Power BI.

Responsibilities

• Understand and document scope and requirements with analysts and stakeholders.
• Design and develop scalable code-based ETL pipelines on a cloud platform.
• Develop code to ingest data from various data sources (RDBMS, APIs, files).
• Develop complex SQL transformations on BigQuery; optimize queries.
• Provide production support, job scheduling/monitoring, ETL data quality reporting.
• Contribute to data modeling/analysis/prediction for business decisions.
• Establish software/infrastructure to analyze big data and maintain data integrity.
• Implement software data security measures to protect data.

Skills

Statistical analysis

Predictive modeling

Python

ETL development

SQL

A/B testing

Multivariate testing

Data visualization

Jira/Confluence

GitHub

BigQuery

GCP

Kubernetes

Apache Airflow

Airflow/Composer

Tableau/PowerBI

Superset

Education

Bachelor’s degree in Computer Science or related field

Tools

GitHub

VS Code

BigQuery

Kubernetes

Composer

Apache Airflow

JupyterLab

Tableau

Power BI

Superset

Jira

Confluence

Job description

Position Summary 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.

• (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;
• (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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