Azure Data Engineer

Signature IT World Inc

Phoenix (AZ)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Pension plan

Child care support

Paid maternity leave

Job summary

A leading company is seeking a Data Engineer for a contract role in Phoenix, AZ. The ideal candidate will have solid experience in database design, data warehousing, and ETL processes, along with a strong grasp of cloud data infrastructure and Power BI for reporting. This mid-senior level position requires a Bachelor's degree in Computer Science or a related field. Various benefits including medical insurance and a 401(k) plan are offered.

Qualifications

Solid experience with database design practices.
Hands-on experience with On-Prem SQL Servers and SSIS.
Experienced in cloud-based data infrastructure and ETL.

Responsibilities

Develop and maintain data pipelines and ETL processes.
Optimize data ingestion and transformation processes.
Develop Power BI dashboards and reports.

Skills

Database design practices

Data warehousing

ETL processes

SQL

Python

Data analysis

Problem-solving

Education

Bachelor’s degree in computer science or information systems

Tools

Azure Data Factory

Power BI

Jira

GitHub

Azure DevOps

Job description

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Solid experience with database design practices and data warehousing concepts.
Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
Hands-on experience delivering data reporting requirements on On-Prem SQL Servers using SSIS and/or other integration processes.
Expertise with coding and implementing data pipelines in cloud-based data infrastructure in batch and streaming ETL using Azure Data Factory, Spark, Python, Scala on Databricks.
Experience working with Azure Data Lake Storage and Azure SQL Databases.
Optimize data ingestion and transformation processes to ensure efficient and scalable data flows; monitor and optimize database performance, including query tuning and index optimization.
Develop and maintain data models, schemas, and data dictionaries for efficient data storage and retrieval.
Perform data analysis, profiling, and cleansing to ensure data quality and accuracy, including data validation, quality checks, and troubleshooting to resolve data-related issues.

Develop Power BI dashboards, reports, and visualizations to communicate data insights effectively. Implement data transformations, data modeling, and data integration processes in Power BI.

Create and maintain technical documentation related to database structures, schemas, and reporting solutions.
Experience with MS Office tools like Excel, Word, PowerPoint.
Experience working with build and deploy tools such as Azure DevOps, GitHub, Jenkins.
Experience working on an Agile development team and delivering features incrementally using Jira and Confluence.
Stay up to date with industry trends and best practices in data engineering and Power BI; proactively recommend and implement improvements to our data infrastructure.
Ability to multi-task, be adaptable, and work effectively within a team environment.
Strong communication, interpersonal, analytical, and problem-solving skills.

Preferred:

Experience with API/REST, JSON.
Experience in banking and financial domains.
Experience with cloud environments like GCP, Azure, and AWS.
Familiarity with containerization and orchestration technologies (Docker, Kubernetes) and shell scripting in Bash, Unix, or Windows shell.
Experience with Power Automate and Power Apps.
Experience with Collibra Data Lineage and Data Quality Modules.

Education: Bachelor’s degree in computer science or information systems, along with relevant work experience.

Seniority level