Client- Southern Company Services.
The ideal candidate has strong expertise in SQL, data modeling, and big data tools such as Spark, Hive, and Airflow, with experience working across relational databases, NoSQL platforms, and data lakes.
3–5 years of experience in data engineering or related role
Strong proficiency in SQL
Experience with data modeling and database normalization
Experience working with:
Relational databases
NoSQL systems
Data lakes
Hands-on experience with Spark, Hive, and Airflow.
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Education
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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
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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.
