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Senior DataOps Engineer

N-iX

Nouveau Remote
Remote Senior 🇬🇧 English
AWS Glue Data Catalog AWS Lake Formation Amazon EMR Amazon Athena AWS DataSync Amazon MSK Apache Iceberg Apache Spark PySpark Spark Streaming Apache Flink Apache Kafka Kafka Connect Schema Registry MirrorMaker2 Protegrity PostgreSQL Oracle Terraform AWS CDK GitLab CI/CD Informatica Axon AWS Macie

Description du poste

About the role

We are seeking a Senior DataOps Engineer to design, build and operate a secure, hybrid‑cloud data platform on AWS for a leading Azerbaijani telecommunications operator. You will drive the implementation of lakehouse architectures, data tokenization, and real‑time streaming pipelines while ensuring compliance and cost efficiency.

Key responsibilities

  • Design and maintain the AWS data platform, including S3 lake layout, Apache Iceberg tables, and Glue Data Catalog integration.
  • Build scalable batch and streaming pipelines using Amazon EMR (Serverless & EMR‑on‑EKS), Apache Spark/PySpark, Apache Flink, and Athena.
  • Implement data tokenization and de‑identification pipelines with Protegrity and Spark UDFs for both batch and streaming data.
  • Develop real‑time streaming architectures with Amazon MSK, MSK Replicator/MirrorMaker2, and Schema Registry.
  • Apply Medallion Architecture (Bronze, Silver, Gold) for lakehouse modeling and automate Iceberg table registration.
  • Configure data access control, governance, and PII detection using Lake Formation, Macie, and Informatica catalogs.

Required profile

  • 4+ years of hands‑on experience as a Data Engineer or DataOps Engineer building enterprise‑grade data platforms.
  • Strong analytical and problem‑solving abilities with a proactive, results‑oriented mindset.
  • Excellent communication skills and ability to collaborate with data science, security, and governance teams.

Required skills

  • AWS Data Analytics services (S3, Glue, Lake Formation, EMR, Athena, DataSync, MSK).
  • Apache Iceberg table format and catalog management.
  • Apache Spark / PySpark and Spark Streaming.
  • Apache Flink, Kafka, Kafka Connect, Schema Registry, MirrorMaker2.
  • Data tokenization tools (Protegrity, Spark UDFs).
  • Relational databases (PostgreSQL, Oracle, Amazon RDS).
  • Infrastructure‑as‑Code (Terraform, AWS CDK) and CI/CD (GitLab CI/CD).
  • Data governance tools (Informatica Axon/EDC, AWS Lake Formation, Macie).

What we offer

  • Flexible working format – remote, office‑based or hybrid.
  • Competitive salary and comprehensive compensation package.
  • Personalized career growth and professional development programs.
  • Access to tech communities, mentorship, and training resources.
  • Education reimbursement, anniversary gifts, and regular corporate events.

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