Key Responsibilities Iceberg operations:

support tables, manage schema changes, partitions, snapshot retention, and keep the catalog (Hive Metastore, AWS Glue, Nessie, …) synchronized. Docker image creation & testing: write multi‑stage Dockerfiles for Spark/Flink/Presto, run local test environments with Docker‑Compose, and conduct vulnerability scans (Trivy, Snyk, …).

Data pipeline development:

build ETL/ELT jobs that ingest raw data and write to Iceberg tables; add simple streaming components using Kafka, Pulsar, or Kinesis when needed.

CI/CD automation:

configure pipelines (GitHub Actions, GitLab CI, Azure DevOps, …) to lint Dockerfiles, scan images, version Iceberg metadata, and deploy pipelines without downtime. Automation with

Ansible/Python:

script cluster provisioning, catalog configuration, vacuum/compaction, and other routine housekeeping tasks.

Observability:

instrument services with OpenTelemetry, Prometheus, Grafana, and Loki; create dashboards showing pipeline latency, resource usage, table health, and error rates; set up basic alerts.

SLA monitoring:

measure data freshness, job success rates, and query response times against agreed‑upon targets and report deviations.

Incident response:

join the on‑call rotation, perform first‑line diagnosis and resolution of pipeline failures, Iceberg metadata issues, or container crashes; write concise root‑cause analyses and suggest improvements. Security & compliance support: help enforce image signing, m

TLS, IAM

roles, and bucket policies; collaborate with the security team to meet GDPR, HIPAA, or

ISO 27001

requirements.

Knowledge sharing:

keep internal documentation up to date and run short tech demos or brown‑bag sessions on Iceberg, Docker best practices, and automation techniques. Minimum Requirements Bachelor's degree in Computer Science, IT, Data Engineering, or a related field (Master's a plus). ~5 years of hands‑on experience building and operating large‑scale data platforms (lake‑house, data‑warehouse, or big‑data ecosystems). Proven production experience with Apache Iceberg (table creation, partition management, schema evolution, catalog integration).

Strong Docker skills:

multi‑stage builds, Docker‑Compose testing, routine image security scanning. Experience with at least one major data‑processing engine (Spark, Flink, or Presto/Trino) and its connection to Iceberg tables. Proficiency in Python and/or Ansible for automating infrastructure and platform tasks. Experience building CI/CD pipelines that include Docker linting, vulnerability scanning, and automated deployment of data‑pipeline code. Familiarity with observability tooling (Prometheus, Grafana, OpenTelemetry, Loki) and ability to create useful alerts and dashboards. Ability to respond to incidents, write clear root‑cause analysis reports, and contribute to post‑mortem actions. Willingness to participate in an on‑call rotation as a first‑line responder. Availability to work on‑site in New Jersey for the initial assignment and relocate to Dallas by October 2026. Preferred Qualifications Experience with cloud‑native data services on AWS, Azure, or GCP (EMR, Dataproc, Synapse, etc.). Familiarity with other lake‑house formats such as Delta Lake or Apache Hudi and ability to evaluate trade‑offs against Iceberg. Knowledge of streaming platforms (Kafka, Pulsar, Kinesis) and real‑time processing patterns. Relevant certifications (Databricks Lakehouse Associate, Google Professional Data Engineer, AWS Certified Data Analytics - Specialty, etc.). Background supporting data platforms in regulated industries (pharma, finance, healthcare) and understanding of associated compliance frameworks. Why work at BTI? We're committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status. We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully. We are an outstanding national Consulting company with 20 years of success Corporate Values 1. Guided by Integrity We earn trust by keeping our promises and holding ourselves and each other accountable to do the right thing in all circumstances 2. Strive for Excellence We strive to deliver quality candidates with efficiency and professionalism leading to the complete satisfaction of our clients 3. Stronger Together We embrace each other's differences and practice collaborative communication to build strong partnerships and relationships to achieve successful outcomes 4. Think Big We continuously challenge ourselves and seek innovative ideas to improve and strengthen our company, clients, and partners for long-term success 5. 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