Responsibilities :
- As a Data Engineer you will contribute to the development of a data lake and data services.
- You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.
- You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata.
- You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Required Skills & Experience :
- years of data engineering experience
- years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience programming with at least one modern language such as C++, C, Java, Python, Golang, PowerShell, Ruby
- Experience with Redshift, Oracle, NoSQL etc.
Preferred Qualifications
- Experience with AWS technologies like Redshift, S, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Compensation :
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, competencies, competencies, competencies, experience, location and end client requirements).
Benefits and Ancillaries :
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
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