Data Engineer / Sr Data Engineer

As a Data Engineer on our Professional Services team, you will be responsible for working with customers, understanding their needs and requirements, and be able to discuss with them the “art of the possible”. You will also design and implement solutions for data warehouses, data lakes, ETL jobs, and data pipelines using AWS Services, as well as designing and implementing AI / ML solutions using AWS or IBM services such as Bedrock and WatsonX.

You will be responsible for :

Consulting with customers to :

o    Understand their data management strategy

o    Provide insights into optimizing their data strategy

o    Architect and Design data management processes

o    Excite customers on how AI / ML services can enhance their business

• Implementing and Deploying machine learning models and enable advanced analytics
• Documenting data architectures and data flows
• Driving innovation internally and for customers
• Contributing to R&D projects which may turn into new services offerings

How you will be successful :

We are hiring for two engineers, to qualify for for the Mid- level range :

o    SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra etc. to store and query large datasets

o    Data modeling - ability to design conceptual, logical and physical data models

o    ETL (Extract, Transform, Load) tools like Informatica, Talend, Pentaho etc. to integrate and move data between systems

o    Big data frameworks like Hadoop, Spark, or Kafka. for distributed data processing and building data lakes

o    Machine learning frameworks like Tensorflow, PyTorch, Keras, Scikit-Learn for building ML models

o    Business Intelligence experience with Power BI and / or QuickSight is a great addition

To qualify for for the Sr- level range :

o    Designing and building data pipelines,

o    Creating machine learning models or using LLMs

o    SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra to store and query large datasets

o    Data modeling - ability to design conceptual, logical and physical data models

o    Dimensional modeling, star schemas, data warehouses

o    ETL (Extract, Transform, Load) tools like Glue, Informatica, Talend, Pentaho etc. to integrate and move data between systems

o    Big data frameworks like Hadoop, Spark, or Kafka. for distributed data processing and building data lakes

o    Machine learning frameworks like Tensorflow, PyTorch, Keras, Scikit-Learn for building ML models

o    Business Intelligence experience with Power BI and / or QuickSight is a great addition

110,000 - $160,000 a year

The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education / training.