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Join Our Team as a Data Engineer!

At AiElements, we are seeking a motivated and detail-oriented Data Engineer to join our growing team. As a key member of our IT Services and Consulting division, you will be responsible for designing, developing, and maintaining ETL processes and data pipelines that enhance our data-driven solutions.

Key Responsibilities:

• Design, develop, and maintain ETL workflows using Informatica PowerCenter.
• Build and optimize data pipelines for structured and semi-structured data.
• Perform data extraction, transformation, and loading (ETL) from multiple data sources.
• Ensure data quality, accuracy, and consistency across systems.
• Troubleshoot and resolve ETL and data integration issues.
• Collaborate with data analysts, BI teams, and stakeholders to understand data requirements.
• Optimize ETL performance and improve existing data workflows.
• Document ETL processes, mappings, and technical designs.
• Support deployment, monitoring, and maintenance of data integration solutions.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Minimum 2 years of hands-on experience in Informatica tools, especially PowerCenter.
• Strong understanding of ETL concepts, data warehousing, and data modeling.
• Experience working with relational databases (Oracle, SQL Server, MySQL, etc.).
• Strong SQL skills for data validation and troubleshooting.
• Familiarity with data quality and performance tuning techniques.
• Ability to analyze and solve data-related issues effectively.

Preferred Skills:

• Experience with other Informatica products (IDMC, Informatica Cloud).
• Knowledge of data warehousing concepts (Star/Snowflake schema).
• Experience with large-scale or enterprise data environments.
• Exposure to cloud platforms (Azure, AWS, GCP).
• Basic knowledge of scripting (Python, Shell).

Join us in making intelligent automation possible through data. We’re excited to see how you can contribute to our mission!

About Mozn
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence. We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.

About The Role
We are looking for a skilled Data Engineer to join our implementation and professional Services team. In this role, you will be responsible for designing, building, and optimizing the data pipelines that support our FOCAL system. You will work closely with machine learning engineers, software developers, and engagement managers to ensure seamless data integration and high-performance system scalability.

Responsibilities:

• Develop and maintain scalable data pipelines and ETL processes to support FOCAL.
• Optimize SQL query generation by designing efficient database schemas, indexing strategies, and query execution plans.
• Collaborate with ML engineers to preprocess, transform, and structure large-scale datasets for AI models.
• Monitor and enhance data pipeline performance, reliability, and scalability.
• Ensure data quality by implementing validation and logging mechanisms.
• Stay up to date with best practices in data engineering and database optimization.

Qualifications:

• 2+ years of experience in data engineering or related technical roles.
• Proficiency in Python for data processing and ETL development.
• Strong SQL skills and experience writing complex queries.
• Solid understanding of dimensional modeling.
• Working knowledge of Linux command line and server administration.
• Experience with Docker or containerization technologies.

Benefits:
Competitive compensation, medical insurance, and a dynamic workplace environment.