DataOps Engineer

5269 - 7245 USD/ mies./ mies.B2BB2B (netto)

SeniorZdalnie·KrakówFull-time·B2B

#474564·Dodano dziś·1

Źródło: justjoin.it

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Tech Stack / Keywords

AWS KafkaConfluentSnowflake SQL Bash Python

Podsumowanie oferty

As a Data Platform Engineer, you will modernize, migrate, and maintain data-platform infrastructure across cloud and enterprise environments. The work includes moving workloads to AWS and supporting Snowflake, Confluent, and Kafka.

Wymagania

3+ years of experience in production data-platform engineering, with a platform/DevOps-leaning background and strong data experience.
Strong Python, Bash, and SQL skills.
Production experience with both Snowflake and Confluent/Kafka, focused on DevOps and operations. Deep experience in one and working knowledge of the other is acceptable: either deep Snowflake and AWS experience with working Kafka knowledge (topics, connectors, schemas), or deep Kafka/Confluent and AWS experience with working Snowflake knowledge.
Experience operating or migrating production systems across development, stage, and production environments.
Strong troubleshooting, incident-response, testing, documentation, and cross-team communication skills.
Experience with least-privilege access, change control, secrets handling, and secure operational practices.
Upper-intermediate English level.

Nice to have:

Apache Spark and Hadoop/Hive/HQL, including modernizing or migrating legacy workloads.
Snowpark, dbt alternatives, AWS Glue, Monte Carlo, or other data-quality and catalog tools.
Experience migrating legacy Airflow, Hadoop, or Hive workloads to cloud-native or managed platforms.
Experience working across a company migration or acquisition and aligning systems to a new organization's standards.
Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns.

Obowiązki

Help migrate infrastructure and data-platform workloads from client infrastructure to new infrastructure.
Help move data-platform infrastructure and workloads to AWS, including required connectivity, deployment, and operational prerequisites.
Enable secure, governed access to data for data-platform consumers and downstream systems.
Modernize data-platform architecture, tooling, orchestration, storage, and operational practices to align with standards.
Support Snowflake, Confluent/Kafka, AWS, and data-platform infrastructure migration and operations across stage and production.
Participate in production troubleshooting, incident response, documentation, runbook creation, and cross-team migration coordination.
Use Terraform/IaC, GitLab, monitoring, and documented processes to deliver repeatable and auditable changes.

Benefity

Mentorship, TechTalks, and personalized growth roadmaps.
Budgets for education, fitness, and team activities.
Opportunities to work with Fortune 500 enterprises and leading product brands using modern solutions.

Elastyczne godziny

Dofinansowanie szkoleń

Inne informacje

Recruitment process: an online form to confirm basic requirements, a 30–60 minute skills assessment, and a 5-minute introduction video, followed by a technical interview with the engineering team and a final interview with future teammates.

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