Azure Data Engineering Manager

5 days ago

Charlotte, North Carolina, United States Insight Global Full time

Job Summary

Azure Data Engineering Manager is responsible for spearheading the design, development, and implementation of data solutions to empower the organization to derive actionable insights from intricate datasets.

The Manager will lead a team of data engineers, foster collaboration with cross-functional teams, and spearhead initiatives to fortify data infrastructure, CI/CD pipelines, and analytics capabilities.

Key Responsibilities

  • Apply advanced knowledge of Data Engineering principles, methodologies, and techniques to design and implement data loading and aggregation frameworks.
  • Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
  • Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing on cloud migration.
  • Drive new and enhanced capabilities to Enterprise Data Platform partners to meet product, engineering, and business needs.
  • Experience building enterprise systems, especially using Databricks, Snowflake, and Azure, AWS, GCP platforms.
  • Leverage strong Python, Spark, SQL programming skills to construct robust pipelines for efficient data processing and analysis.
  • Implement CI/CD pipelines for automating build, test, and deployment processes to accelerate data solution delivery.
  • Implement data modeling techniques to design and optimize data schemas, ensuring data integrity and performance.
  • Drive continuous improvement initiatives to enhance data infrastructure performance, reliability, and scalability.
  • Collaborate with data scientists, analysts, and stakeholders to understand business requirements and translate them into technical solutions.
  • Implement best practices for data governance, security, and compliance to ensure data integrity and confidentiality.

Requirements

  • 12+ years of experience in a data engineering role, with expertise in designing and building data pipelines, ETL processes, and data warehouses.
  • 2+ years of experience working as a Manager.
  • Strong proficiency in SQL, specifically handling window functions like rank, average, standard deviation.
  • Python and PySpark programming languages.
  • Strong experience with the Azure cloud platform.
  • Experience working in a retail environment.
  • Extensive experience working with Databricks and Azure Data Factory for data lake and data warehouse solutions.
  • Experience in implementing CI/CD pipelines for automating build, test, and deployment processes.
  • Hands-on experience with big data technologies like Hadoop, Spark, Kafka.

About Insight Global

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters.

Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex, sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

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