Senior DataOps Engineer – AWS Data Platform

About the role

We are seeking a Senior DataOps Engineer to design, implement and operate a secure, hybrid-cloud data platform on AWS for Azerbaijan’s largest telecommunications operator. The role focuses on building scalable batch and streaming pipelines, enforcing data tokenization, and establishing a Cloud Center of Excellence.

Key responsibilities

• Design and maintain the AWS data platform, including S3 lake layout, Iceberg tables and Glue Data Catalog integration.
• Build and optimise batch and streaming pipelines using EMR (Serverless/EKS), Spark/PySpark, Flink, Athena and cost‑controlled workgroups.
• Implement data tokenisation and de‑identification pipelines with Protegrity, Spark UDFs and Kafka Connect SMT.
• Develop real‑time streaming architectures with Amazon MSK, MSK Replicator/MirrorMaker2 and Schema Registry.
• Apply Medallion Lakehouse architecture (Bronze, Silver, Gold) and automate Iceberg table registration and back‑fill.
• Execute data migration waves using DataSync and streaming migration configurations.
• Configure data access control and governance with Lake Formation, Macie and Informatica data catalog integration.
• Set up DataOps observability, CloudWatch logging, FinOps cost monitoring and automated alerts.
• Author technical documentation, run‑books, disaster‑recovery procedures and cut‑over playbooks.

Required profile

• 4+ years of hands‑on experience as a Data Engineer or DataOps Engineer building enterprise‑grade platforms.
• Strong analytical, problem‑solving and communication skills; ability to work in Agile/Scrum teams.
• Upper‑intermediate or higher English proficiency (written and spoken).

Required skills

• AWS Data Analytics services: S3, Glue, Lake Formation, EMR, Athena, DataSync, MSK.
• Apache Iceberg table format and catalog management.
• Apache Spark / PySpark, Spark Streaming, Apache Flink.
• Kafka ecosystem: Amazon MSK, Kafka Connect, Schema Registry, MirrorMaker2.
• Relational databases: Amazon RDS, PostgreSQL, Oracle.
• Infrastructure as Code: Terraform, AWS CDK.
• CI/CD automation: GitLab CI/CD.
• Data tokenisation tools such as Protegrity or equivalent.

What we offer

• Flexible working format – remote, office‑based or hybrid.
• Competitive salary and comprehensive compensation package.
• Personalised career growth and professional development programmes.
• Access to tech communities, mentorship, tech talks and training.
• Education reimbursement and memorable anniversary presents.
• Corporate events, team‑building activities and other location‑specific benefits.