Data Engineer

TBG | The Bachrach Group

Scottsdale (AZ)

On-site

USD 70,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Vision insurance
401(k)

Job summary

Join a forward-thinking company as a Data Engineer where you will leverage your expertise in data engineering practices to design and maintain robust data pipelines. This role offers the opportunity to work with cutting-edge technologies like Azure, Power BI, and ETL tools, ensuring seamless data flow across platforms. Collaborate closely with data analysts and business stakeholders to deliver impactful solutions while maintaining data quality and governance. If you're passionate about data and eager to drive innovation in a dynamic environment, this position is perfect for you.

Qualifications

  • 5+ years of experience as a Data Engineer in Azure Cloud environments.
  • Proficiency in ETL tools like Pentaho PDI and Airbyte.
  • Advanced SQL skills with a focus on query optimization.

Responsibilities

  • Implement ETL processes using Pentaho PDI and Airbyte for data ingestion.
  • Develop and optimize SQL queries for performance improvement.
  • Build data models that support analytical and BI needs.

Skills

Data Engineering practices
Pentaho PDI
Airbyte
Power BI with DAX
Power Automate
Azure Administration
Python
API integration
SQL query optimization
data modeling
DBT
Airflow orchestration

Tools

Azure
Power BI
DBT (Data Build Tool)
Apache Airflow

Job description

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We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will have strong experience in Data Engineering practices with expertise in Pentaho PDI, Airbyte, Power BI with DAX, Power Automate, Azure Administration, Python, API integration, SQL query optimization, data modeling, DBT, and Airflow orchestration. This role involves designing, developing, and maintaining data pipelines, optimizing performance, and ensuring the seamless flow of data across platforms.

Key Responsibilities:

  • Implement ETL processes using Pentaho PDI and Airbyte for data ingestion and transformation.
  • Develop and optimize SQL queries for performance improvement and efficient data retrieval.
  • Build data models that support analytical and business intelligence (BI) needs.
  • Develop reports and dashboards in Power BI, Paginated reporting, including advanced DAX calculations and visualization techniques.
  • Automate workflows using Power Automate for data processing and reporting.
  • Manage and maintain Azure infrastructure with hands-on experience in Azure Administration (security, monitoring, and performance tuning).
  • Develop API, Python scripts for automation, data transformation, and analytics.
  • Utilize DBT (Data Build Tool) for transformation and orchestration of ELT workflows.
  • Implement Airflow for workflow orchestration and monitoring of data pipelines.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver solutions.
  • Ensure data quality, governance, and security across all data platforms.

Required Skills & Experience:

  • 5+ years of experience as a Data Engineer working in Azure Cloud environments.
  • Proficiency in ETL tools, particularly Pentaho PDI and Airbyte.
  • Advanced SQL skills with a deep understanding of query optimization and performance tuning.
  • Strong experience with Power BI, paginated report, including DAX and report development.
  • Experience in workflow automation using Power Automate.
  • Hands-on experience in Azure administration, including managing resources, security, and performance.
  • Proficiency in Python for scripting, automation, and data manipulation.
  • Experience with DBT (Data Build Tool) for data transformations.
  • Hands-on experience with Apache Airflow for job orchestration.
  • Strong understanding of data modeling concepts (dimensional modeling, star schema, snowflake schema).
  • Excellent problem-solving skills and the ability to work in an agile environment.

Preferred Qualifications:

  • Experience with DevOps practices for CI/CD in data engineering.
  • Knowledge of Big Data technologies like Databricks or Spark.
  • Experience in Finance and operational reporting.
  • Experience with Data Governance & Compliance (GDPR, HIPAA, etc.)
  • Previous experience in manufactured housing and property management is a plus.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Technology, Information and Media

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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