Senior Data Engineer
Senior Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
As a Senior Data Engineer you will be part of our team that provides data architecture and infrastructure support to our customers. You will be responsible for assessing current architectures and designing future-state architectures for on-premise and cloud based implementations. These systems and platforms can span various infrastructure components from operating systems and hypervisors COTS products custom applications and Big Data platforms. You will work alongside a highly skilled infrastructure automation team to ensure your designs are implemented at the highest levels of fidelity. You will also work with development teams to ensure their code is optimized and compatible with the latest software versions. You will be rapidly gathering requirements and configurations to accomplish the project objectives. This role is essential for ensuring system reliability enabling rapid incident detection and empowering data-driven decisions.
Responsibilities:
- Design and implement scalable data ingestion pipelines for both batch and real-time data from diverse structured and unstructured sources
- Perform extensive data profiling transformation and enrichment to prepare clean ML ready datasets for data scientists and analysts.
- Develop custom reports and data visualizations to support analytics decision-making across business and technical teams
- Collaborate with data scientists and business teams to deliver curated datasets and reporting needs for ML and observability analytics.
Qualifications :
- 7 years of experience in data engineering with a focus on building scalable data pipelines and observability frameworks
- Proven track record building ETL/ELT pipelines for structured semi-structured and unstructured data.
- Expertise in designing and optimizing dashboards visualizations and custom analytics solutions using Kibana Splunk Grafana or BI tools.
- Ability to translate complex observability and platform metrics into business insights for leadership and product teams.
- Proven experience with Splunk (search processing language dashboards alerting) for large-scale log management and analysis.
- Strong expertise in Dynatrace for application performance monitoring (APM) tracing and end-to-end visibility.
- Proficiency with Elastic Stack (Elasticsearch Logstash Kibana Beats) for log aggregation storage and querying.
- Strong knowledge of distributed systems microservices and cloud-native environments (AWS Azure or GCP).
- Experience in automation and scripting (Python Bash PowerShell or similar) to streamline monitoring processes.
- Familiarity with container orchestration platforms (Kubernetes Docker) and CI/CD pipelines.
- Knowledge of ITIL/ITSM practices incident management and RCA methodologies.
- Strong ability to collaborate with stakeholders across data science analytics platform engineering and product teams to design data solutions.
- Experience with security information and event management (SIEM) solutions.
- Understanding of infrastructure-as-code (IaC) tools such as Terraform or Ansible.
- Knowledge of service level objectives (SLOs) SLIs and error budgets.
- Familiarity with other monitoring tools like Prometheus Grafana Loki or OpenTelemetry.
Additional Information :
We Value:
- Drive: Passion and energy to implement quality technical solutions. Self-motivation and intellectual curiosity
- Commitment to Quality: Passion to conceive and produce world-class solutions that drive real-world value for the customer
- Customer Focus: Consultative approach to solving problems for customers. Expectations management.
- Communication: Superior communication skills. Ability to clearly articulate problems solutions risks rewards etc. (written and verbal)
- Technical Skills: Love for technology. You have to be inherently passionate about technology.
- Business Acumen: Technology ultimately is used to enable the business. We look for people who understand how the businesses can be enabled through their technical solutions
What we offer:
- Ability to make a noticeable difference for the organization and our customers
- Tremendous growth opportunity by becoming part of a rapidly growing organization. Its not your tenure but what you can bring to the table that defines how your career will be shaped. You control your growth.
- Complex but interesting challenges to improve the depth and breadth of your technical and business skills. Our consultants are business technologists and understand how technology drives business.
- Competitive pay and benefits
Oteemo is an equal employment and affirmative action employer. We evaluate qualified applicants on merit and business needs and not on race color religion creed gender sexual orientation national origin ancestry age disability genetic information marital status veteran status or any other factor protected by law. Oteemo complies with the law regarding reasonable accommodations for handicapped and disabled employees.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
