Regular Data Engineer

Sales Consulting

Not Interested
Bookmark
Report This Job

profile Job Location:

Bucureşci - Romania

profile Monthly Salary: Not Disclosed
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

The role involves sourcing data from multiple systems optimizing workflows and collaborating with architects and analysts to deliver clean well-structured datasets.

Required Skills & Experience:

3 years of experience in data engineering across hybrid environments (on-premise and cloud).

Proficiency in SQL and Python or Java/Scala.

Hands-on experience with ETL/ELT tools and frameworks.

Good understanding of GCP data services: BigQuery Dataproc Dataflow Cloud Storage.

Familiarity with data modeling schema design and metadata management.

Knowledge of data governance security and compliance best practices.

Nice To Have:

GCP certification (e.g. Professional Data Engineer) is a major plus.

Experience with Big Data technologies.

Key Responsibilities:

Solution Design: Architect data pipelines down to the low-level elements ensuring clarity and precision in implementation.

Data Sourcing: Extract data from diverse repositories including relational
databases (Oracle PostgreSQL) NoSQL stores file systems and other
structured/unstructured sources.

Data Transformation: Design and implement ETL/ELT workflows to standardize and cleanse data using best practices in data engineering.

Pipeline Development: Build scalable fault-tolerant data pipelines that support batch and streaming use cases.

Cloud data processing: Load transformed data into GCP destinations such as BigQuery or Cloud Storage using tools like Dataproc Dataflow and other GCPnative services.

Workflow Orchestration: Design and manage workflows using orchestration tools such as Apache Airflow or Cloud Composer.

Data Format Expertise: Work with various data formats including JSON AVRO Parquet CSV and others.

Optimization & Monitoring: Ensure performance reliability and cost-efficiency of data pipelines through continuous monitoring and tuning.

Collaboration: Work closely with data architects analysts and business
stakeholders to understand data requirements and deliver high-quality solutions.

The role involves sourcing data from multiple systems optimizing workflows and collaborating with architects and analysts to deliver clean well-structured datasets.Required Skills & Experience: 3 years of experience in data engineering across hybrid environments (on-premise and cloud). Proficiency i...
View more view more

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

Company Logo

Since 1998 weve been active in the Human Resources consulting market providing regional coverage across four key areas of expertise: recruitment and selection personnel leasing assessment centers and consultancy. As leaders in Transylvania weve expanded our reach to embrace a culture ... View more

View Profile View Profile