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Job Description

We are seeking an experienced and passionate Lead Data Engineer to join our Data Engineering Team. In this critical role, you will develop and manage scalable data pipelines on our Azure cloud-based data platform. You will guide a team of data engineering professionals, demonstrating exceptional technical expertise and leadership, while fostering a culture of innovation, craftsmanship, and continuous improvement.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements

Deep expertise in Azure cloud services, including Azure Data Lake Storage (ADLS), Blob Storage, Azure SQL Database.

Advanced proficiency in SQL (queries, stored procedures, analytical functions, materialized views).

Strong hands-on experience building ETL/ELT pipelines and data integration processes.

Extensive experience with various integration connectors (e.g. APIs, File systems, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST)

Proficient programming skills in Python.

Extensive experience in data lake and data warehouse architectures, including experience with Snowflake, Azure Synapse or Azure Databricks.

Familiarity with DevOps principles, specifically CI/CD methodologies and tools.

Experience using orchestration tools such as Apache Airflow.

Strong analytical skills, with proven ability to analyze and optimize data models. Experience with ETL tools like PySpark, dbt, Azure Data Factory or Fivetran

Familiarity with BI tools such as Tableau.

Strong experience with enterprise data integration methodologies and tools. null

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].