Data Engineer

The ideal candidate will possess strong programming and data skills using Python and SQL , along with experience leveraging cloud services such as AWS or Azure to ingest, process, transform, and store data for analytics and business reporting. We are seeking a Data Engineer with hands-on experience in designing and developing data pipelines, ETL processes, and cloud-based data solutions.

In person Interview
Designation: Data Engineer
Location: Mph-ClientSite, North Carolina, US

Job Summary:

We are seeking a Data Engineer with hands-on experience in designing and developing data pipelines, ETL processes, and cloud-based data solutions. The ideal candidate will possess strong programming and data skills using Python and SQL, along with experience leveraging cloud services such as AWS or Azure to ingest, process, transform, and store data for analytics and business reporting.

Responsibilities

• Design, develop, and maintain ETL/data pipelines to collect, ingest, clean, and structure data for downstream analytics and reporting.
• Develop cloud-based data processing solutions utilizing services like AWS or Azure.
• Build scalable data workflows for data migration and storage.
• Implement Python and SQL-based processes for effective data manipulation.
• Work with relational databases such as Oracle and cloud data warehouses.
• Utilize Kafka and other data integration technologies to support enterprise data workflows.
• Collaborate with business stakeholders to understand reporting and data requirements, translating them into technical solutions.
• Support datasets and pipelines used for statistical analysis, reporting, and business decision-making.
• Assist in business intelligence and reporting solutions using tools such as Power BI.
• Troubleshoot data-processing issues and continuously enhance the reliability and efficiency of data workflows.

Mandatory Skills:

• Proficiency in Python for data engineering tasks.
• Strong T-SQL skills for data manipulation and querying.
• Experience with Cloud Computing, specifically AWS or Azure.
• Familiarity with data integration tools, including Apache Kafka.
• Knowledge of relational databases, particularly Oracle.

Preferred Skills

• Experience with data visualization tools, such as Power BI.
• Understanding of data warehousing concepts and practices.
• Familiarity with statistical analysis techniques.
• Experience in developing scalable data workflows.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in data engineering or cloud technologies are a plus.

 
 
“All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”