[Samsung Electronics America] Engineer I, Data Engineering 채용

Bzpp; United States; Presencial; USD 110.000 - 150.000; Jornada completa

Descripción de la vacante

Bzpp is seeking a data engineer to design and develop scalable ETL pipelines on cloud platforms, ingesting data from databases, APIs, and files. The role emphasizes SQL transformations on BigQuery, production support, and data quality reporting.

The candidate will contribute to data modeling, analytics, and security while following engineering best practices and tooling like GitHub, Jira, and Confluence.

Formación

• 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.

Responsabilidades

• Document scope and requirements through interactions with analysts and stakeholders.
• Design and develop scalable ETL pipelines on Cloud platforms using big data technologies.
• Ingest data from Relational databases, APIs, and files.
• Develop complex SQL transformations on BigQuery.
• Provide production support, job scheduling/monitoring, ETL data quality reporting.
• Contribute to software development and data modeling for business decision-making.
• Establish software and infrastructure to analyze big data and ensure data integrity and security.

Conocimientos

Python analytics

ETL with Python/SQL

GitHub & VS Code

SQL data manipulation

AB/multivariate tests

GCP BigQuery/Kubernetes/Composer

Data viz dashboards

Jira & Confluence

Big data production support

Educación

Bachelor’s degree in CS or related field with 3 years experience

Herramientas

Apache Airflow

Descripción del empleo

Position SummaryRole 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. No sponsorship available for this position.

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
• (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.