Job Information
Insight Global Azure Data Engineer in Birmingham, Alabama
Job Description
3-5 Years Focused on manipulating data in a
software engineering capacity. Some of that
data might live in relational systems, but
it’s increasingly moving towards NoSQL
systems and data lakes. Normalize databases
and ascertain the structure of the data meets
the requirements of the applications that are
accessing the information. Construct datasets
that are easy to analyze and support company
requirements. Combine raw information from
different sources to create consistent and
machine-readable formats. This IT role requires
a significant set of technical skills, including a
deep knowledge of SQL, data modeling, and
tools like Spark/Hive/Airflow.
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 (including pregnancy), 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 HR@insightglobal.com.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
Education
Bachelor’s degree in a technical field (ex: Computer Science, Engineering, Mathematics, or other relevant academic discipline) required. Advanced degree preferred.
Knowledge, Skills, and Abilities
Hands-on experience developing solutions with big data technologies such as Hadoop, HIVE and Spark.
Hands-on experience developing and supporting statistical models, R, and/or Python based AI/ML solutions.
5+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using on-premises tools such as MSBI (SSIS/SSAS), Informatica, Oracle Golden Gate, SQL, Oracle, and SQL Server.
3+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using Microsoft cloud-based tools such as Azure Data Lake, Azure Data Factory, Azure Databricks, Python, Azure Synapse, Azure Key Vault, and Power BI.
Hands-on experience designing and developing solutions involving data sourcing, enrichment and delivery using APIs & Web Services.