- Bachelor's Degree in Computer Science, Computer Engineering, MIS or related field.
- 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.
- Experience with data governance processes (lineage, profiling, classification, and regulatory compliance).
- Data engineering techniques for managing structured, semi-structured, and unstructured data.
- Working knowledge of distributed event streaming data platforms (Tibco, Kafka)
- Working knowledge of microservices and containerized applications (EKS, Docker)
- Experience with big data tools (Cloudera, Hadoop, Spark, Map Reduce, NiFi, Sqoop, YARN)
- Experience with AWS cloud services (S3, EC2, EMR, Redshift, Glue, CloudWatch, Lambda, Athena)
- Experience with CI/CD data pipeline orchestration tools (Jenkins, Airflow).
- Experience in data modeling and database schemas (normalized, flat, star, snowflake, etc.)
- Experience in developing data models, ingestion processes, and data extracts to support data consumption and visualization
- tools (MicroStrategy, Tableau).
- Proficient in query and languages (SQL, Hive, Python)
- Retail experience is a plus.
- 401(k) Savings Plan- Matched 150% up to 6%. (Our 401k is in the top 1% of 401(k) plans offered in the US)
- Medical/Prescription/Dental/Vision Coverage
- Low-premium and deductible. Plan with free preventive care.
- $12,000 in Tuition Reimbursement
- 100% Company-paid mobile phone plan
- Personal Time Off (PTO)- Ensuring a balance of work and home life
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Data Engineer - Dallas, United States - Capgemini
Description
Sogeti is a leading provider of professional technology services, specializing in Application Management, Infrastructure Management and High-Tech Engineering.Sogeti offers cutting-edge solutions around Testing, Business Intelligence, Mobility, Cloud and Security, combining world class methodologies and the global delivery model, Rightshore.
Sogeti brings together more than 20,000 professionals in 15 countries and is present in over 100 locations in Europe, the US and India.
Sogeti is a wholly-owned subsidiary of Cap Gemini S.A., listed on the Paris Stock Exchange.
At Sogeti USA, we are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers.
Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations.
We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life.
We strive to be an employer of choiceWhat You-ll Do
We are looking for a Data Engineer 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.
We are looking for candidates with 4+ years of experience in a Data Engineer role and has attained bachelor-s degree in technology.
Minimum education qualification
The ideal candidate will have:
The benefits our employees enjoy:
All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
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