Data Engineer - Microstrategy (4-7 yrs)

Job Description :

We are looking for an Engineer II to join our growing team of data experts. This role is responsible for developing, maintaining and optimizing data pipelines, delivering data timely to our cross-functional teams and support reporting and analytics. The Engineer will work closely with analyst, report developers, architects, data scientists and other engineers on data initiatives and will be involved in designing our next generation of data platform architecture to support increasing data demands.

Below are the MUST HAVE skill needed for this role :

- Cloud Platform : AWS experience

- Coding : Python and PySpark

- Cloud data warehouse : Snowflake or Redshift

- AWS cloud services : S3, EC2, EMR, Glue, Athena, Lambda, SQL

Primary Responsibilities :

- Partner with Product and IT stakeholders to understand business needs, gather data requirements, and translate them into structured data models-ensuring data consistency, integrity, and optimal performance.

- Design, develop, and maintain the systems and infrastructure (i.e., data pipelines) necessary for the collection, storage, processing, and analysis of large volumes of data.

- Collaborate with Data Analysts, Data Scientist, and Business Analytics users to provide access to clean and organized data for various business purposes.

- Partner with Enterprise and Solution Architects to implement continuous improvement processes to protect, govern, automate, and scale data platform.

- Participate in data governance initiatives and contribute to maintaining data dictionaries and documentation to facilitate effective data management and analysis.

- Responsible for break/fix support (triage and resolution) of data systems, applications, and processes in production and in lower environments.

Basic Qualifications :

We are looking for candidate with 4+ years of experience in a Data Engineer role and has attained bachelor's degree in technology and has experienced with Agile/Scrum development process and methodologies.

- Proficient in MicroStrategy data integration and Infrastructure design/build (i.e., schema design, dimensional data modeling, semantic layer design, reporting, and data/object level security).

- Proficient in managing data across multiple platforms (Snowflake, Oracle, AWS Redshift)

- Proficient in data query and language (SQL, Python)

- Experience in developing data models, ingestion processes, and data extracts to support data consumption tools (MicroStrategy, Tableau, Datameer).

- Experience with data governance processes (linage, profiling, classification, and regulatory compliance).

- Working knowledge of data ingestion ETL/ELT tool (Informatica).

- Working knowledge of AWS cloud services (S3, EC2, EMR).

- Retail experience is a plus.

About VRIZE INC :

VRIZE is a Global Digital & Data Engineering company, committed to delivering end-to-end Digital solutions and services to its customers worldwide. We offer business-friendly solutions across industry verticals that include Banking, Financial Services, Healthcare & Insurance, Manufacturing, and Retail. The company has strategic business alliances with industry leaders such as Adobe, IBM Sterling Commerce, IBM, Microsoft, Docker, Sisense, Competera, Snowflake, and Tableau.

VRIZE is headquartered out of Tampa (Florida) with a team size of 410 employees globally, currently, 100% of the clients undertaken are in the United States. Delivery centers are distributed in the US, Canada, Serbia, and India. Having stellar growth and future projections of 100% YOY for the last 3 years, the company has been successfully addressing its clients' digital disruption needs.

Our continued success depends to a large extent on our ability to remain at the forefront of disruptive developments in the field of information technology and leaders/team members joining the force are expected to replicate the same.

VRIZE is an equal-opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, age, national origin, ancestry, disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Individuals with disabilities are provided reasonable accommodation.