Operations Data Engineer
Titan America
Athens, Attica, Greece
πριν από 5 μέρες

What you will be doing

  • Architect, build, test, and manage our common integrated data platform infrastructure from data collection and data processing all the way to data storage and data manipulation.
  • Establish an ongoing improvement plan for Cloud extensibility support operations, including technology reviews, root cause analysis, action reports analysis, and Cloud portfolio review to ensure adequate infrastructure to provide a suitable operating environment.
  • Manage processes related to modernization, architecture, and transformation through Cloud technologies adoption.
  • Maintain, develop, and optimize our batch processing pipelines and ingestion large data volumes; create streaming processes for real-time applications.
  • Evaluate project-level architecture reviews and vendor selection recommendations.
  • Improve scalability, stability, automation, accuracy, speed, cost, and efficiency of our existing Data Systems by performing query optimization, database tuning, indexing, and partitioning.
  • Support existing and design / develop new ETL / ELT processes that move, integrate, ingest, transform and manage data on Cloud.
  • Work with the OT & IT Security Team, Solution Architects, and Infrastructure Team over any security-related issues that arise and assist in log reviews & maintenance of operational activities.
  • What you’ll have :

  • University degree in Computer Science, Mathematics, Engineering, Information Technology, Management Science and Technology or other relevant fields.
  • Two (2)- four (4) years’ experience in a relevant position.
  • Experience of at least two (2) years in Azure Data Bricks / Data Warehouse / Azure Data Factory / Azure Data Delta Lake is mandatory.
  • In addition, knowledge of Apache Spark will be considered an asset.

    Critical Functional Skills :

  • Ability to navigate the following technology stack : Python, SQL, Spark, Scala, PySpark, and Docker / Kubernetes.
  • Strong experience in Relational Databases (MySQL, SQL Server, or PostgreSQL) non-relational databases (Mongo DB or Cassandra. etc.).
  • DevOps and Azure experience with CI / CD and Infrastructure as Code tools is a plus.
  • Experience in open-source distributed streaming platforms (i.e., Kafka) that can be used to build real-time streaming data pipelines and applications.
  • Experience with integrating data from multiple heterogeneous sources and various formats (CSV, XML, JSON, Avro, Parquet)
  • Ability to manipulate, process, and extract value from large and disconnected datasets.
  • Experience in data visualization tools (Tableau) and reports to explore data and find insights.
  • Experience in building and optimizing big data’ data pipelines, architectures, and data sets and in the development of Data Ingestion Pipelines and Data Analysis Applications.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Proficient understanding of microservices architecture and distributed systems.
  • Understanding and implementation experience with both relational and data warehousing models.
  • What you need to succeed in this role :

  • Superior analytical skills and a strong sense of urgency and ownership in your work.
  • Excellent verbal and written communication as well as presentation skills in both Greek and English.
  • A team player attitude with solid problem-solving skills.
  • Ability to work with cross-functional teams in a dynamic environment.
  • Αναφορά αυτής της εργασίας

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