Cons - TC - AI and Data - E2E - Ent Data - Data Eng - Cloud Big Data - Manager - Mul Pos
Listed on 2026-05-24
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IT/Tech
Data Engineer
Consulting, Technology Consulting - AI & Data - E2E - Enterprise Data - Data Engineering (Cloud Big Data) (Manager) (Multiple Positions) (1695986)
Assist client engagement teams delivering professional services and help manage business development activities by developing and applying analytics to solve business problems. Deliver the latest big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Design, architect, and develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements.
Unify, enrich, and analyze customer data to derive insights and opportunities. Leverage in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements. Communicate findings, recommendations, and opportunities to improve data systems and solutions. Apply data driven approach (KPIs) in tying technology solutions to specific business outcomes. Collaborate, influence and build consensus through constructive relationships and effective listening.
Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long‑term client relationships and networks. Cultivate business development opportunities.
Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.
Responsibilities- Assist client engagement teams delivering professional services and help manage business development activities by developing and applying analytics to solve business problems.
- Deliver the latest big data technologies and practices to design, build and maintain scalable and robust solutions.
- Design, architect, and develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets.
- Unify, enrich, and analyze customer data to derive insights and opportunities.
- Leverage in‑house data platforms as needed and recommend and build new data platforms or solutions as required.
- Communicate findings, recommendations, and opportunities to improve data systems and solutions.
- Apply data‑driven approach (KPIs) in tying technology solutions to specific business outcomes.
- Collaborate, influence, and build consensus through constructive relationships and effective listening.
- Manage and motivate teams with diverse skills and backgrounds.
- Consistently deliver quality client services by monitoring progress and demonstrate in‑depth technical capabilities and professional knowledge.
- Maintain long‑term client relationships and networks and cultivate business development opportunities.
- Bachelor’s degree in Business, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Analytics, or a related field, and 5 years of progressive, post‑baccalaureate related work experience; alternatively, a Master’s degree and 4 years of related work experience.
- 4 years of experience with Cloud and Big Data technologies.
- 3 years of experience in implementing, automating and integrating a combination of at least four (4) of the following Big Data infrastructure resources: S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account, SQL Data Warehouse, Microsoft Event Hubs, HDInsights, Azure Databricks, Azure Functions, Event Grid, and/or Data Lake Analytics.
- 4 years of experience with IaC & Configuration Management tools including one or a combination of Chef, puppet, Cloud Formation, terraform, ansible, boto3 and/or Azure/GCP equivalent.
- 4 years of experience with core operating systems including one or a combination of Linux RHEL, Ubuntu, and/or system administration tasks including shell scripting.
- 4 years of experience with Network Engineering/Admin including one or a combination of vpc, subnet, security groups, VPC-Endpoints, and/or nat/route tables.
- 4 years of experience with container technology such as Docker or Kubernetes.
- 4 years of experience using security tools/concepts including one or…
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