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Data Engineer II 4P/554

4P Consulting

Birmingham, Alabama

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JOB DETAILS
SKILLS
Apache Hadoop, Apache Hive, Apache Spark, Apiary/Beekeeping, Application Programming Interface (API), Artificial Intelligence (AI), Big Data, Cloud Computing, Computer Science, Data Analysis, Data Lake, Data Modeling, Data Modeling Tools, Informatica, Mathematics, Microsoft Product Family, Microsoft SQL Server, Microsoft Windows Azure, NoSQL, Oracle, Oracle Database, Power BI, Python Programming/Scripting Language, R Programming Language, Relational Databases (RDBMS), SQL (Structured Query Language), SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), Software Engineering, Statistical Modeling, Test Plan/Schedule, Web Services
LOCATION
Birmingham, Alabama
POSTED
30+ days ago
 Data Engineer II
Location- Birmingham, AL( ONSITE)

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.

Required Qualifications

  • 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.

  • 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.

 

About the Company

4

4P Consulting

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