Senior Azure Data Engineer (Python, SQL)

Artmac Soft LLC

Plano, TX, United States

15 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) BigQuery Cloud Database Computer Programming Data Architecture Data Validation Information Engineering Data Integration Extract Transform Load (ETL) Data Transformation Data Warehousing Database Queries

+16 more

Dimensional Modeling JSON Python (Programming Language) SQL Databases Technical Data Management Systems Data Ingestion Azure Data Factory Sql Optimization Snowflake Software Troubleshooting Google Bigquery Api Design Restful APIs Stream Processing Data Pipelines Databricks

Job description

Implement data quality checks, validation rules, monitoring, and exception handling.
Troubleshoot pipeline failures, data issues, performance bottlenecks, and production incidents.
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Requirements

8+ years of experience in data engineering, cloud data engineering, or related roles.
Strong programming experience with Python.
Advanced SQL skills, including complex queries, joins, CTEs, window functions, optimization, and data transformations.
Strong experience designing and developing ETL/ELT pipelines.
Hands-on experience with cloud-based data engineering platforms.
Experience working with REST APIs, JSON, and API-based data integration.
Experience with relational and cloud databases.
Experience with one or more of: Snowflake, Databricks, Google BigQuery, and Azure Data Factory (ADF).
Strong understanding of data ingestion, transformation, integration, and orchestration.
Strong understanding of data quality, validation, reconciliation, and error handling.
Knowledge of data warehousing concepts, dimensional modeling, and data architecture.
Strong troubleshooting, analytical, and problem-solving skills.
Cloud Data Engineer Certification is preferred.
Design, develop, and maintain scalable ETL/ELT data pipelines for batch and real-time data processing.
Develop robust data engineering solutions using Python and SQL.
Implement data transformation, cleansing, validation, and enrichment processes.
Work with platforms such as Snowflake, Databricks, BigQuery, and Azure Data Factory (ADF)., Bachelor’s degree or equivalent combination of education and experience.

About the company

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.