Match score not available

Senior/Principal Data Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Information Technology or related field, Around 4 - 5 years experience in a similar role, Strong knowledge of database structure systems, Proficient in Python and familiar with other languages, Experience with NoSQL/SQL and big data tools.

Key responsabilities:

  • Evaluate operations to identify database requirements
  • Oversee data migration from legacy systems
  • Create structured data for data warehouses/marts
  • Build end-to-end layered data pipelines and catalogs
  • Monitor system performance and integrate new features
TWL Global Services logo
TWL Global Services Human Resources, Staffing & Recruiting Startup https://talentwelove.com/
11 - 50 Employees
See more TWL Global Services offers

Job description

Our client is expanding its R&D development team in Romania! To support the stronger demand for our client's data-driven solutions and as part of the strategy to expand, our client is currently looking for a Senior Data Engineer.

As a Data Engineer, you will have an exciting opportunity to contribute to our client's core data management project and build innovative solutions leveraging data services.

To succeed in this role, you must know how to examine new data system requirements and implement migration models, and also have proven experience in data analysis and management, with excellent analytical and problem-solving abilities.

Key Responsibilities:

  • Examines and identifies database structural necessities by evaluating operations, applications, and programming. Oversees the migration of data from legacy systems to new solutions
  • Understands the needs around identified use cases and translates them into structured data in data warehouses/data marts
  • Builds an end-to-end layered data pipeline
  • Identifies commonalities between use cases to create a data catalog
  • Builds a master data management
  • Automates the quality assessment of unstructured data coming from existing products
  • Monitors the system performance by performing regular tests, troubleshooting, and integrating new features
  • Expected outcomes (accountability)
  • Installs and organizes information systems to guarantee feature completeness
  • Recommends solutions to improve new and existing data-related base (sub-)systems – database, ETL engine, BI engine, etc.
  • Makes technical decisions in projects under their responsibility
  • Supports company’s ambitions towards data management by training others
  • Reviews & audits implementations
  • Occasional visits to Paris, Den Haag, possibly others

Key Requirements:

  • Bachelor's degree in Information Technology or related field
  • Around 4 - 5 years experience in a similar role
  • Strong knowledge of database structure systems
  • Excellent technical and analytical skills
  • Impactful decision maker
  • Problem solver with a “can do”, positive and pragmatic attitude
  • Fluent English is a must-have
  • Programming Languages: Python is a must-have, .NET / Java / C++ / Bash are nice to have
  • NoSQL/SQL: database design, development and data modeling (e.g. MySQL, PostgreSQL, DynamoDB, Redshift, Elasticsearch, Redis, Memcached);
  • Big Data Tools: data lakes (S3 & HDFS) / Snowflake Hadoop / Spark / Presto / Hive / Redshift / Kinesis / Kafka / EMR / AWS Batch / AWS Data Pipeline / Elasticsearch
  • Cloud: Azure / AWS and affiliated data management services
  • DevOps & Automation: containers and container orchestration (Docker, ECS, Kubernetes), infrastructure as code (CloudFormation & Terraform), CI/CD pipelines (Jenkins & TeamCity), configuration management and orchestration (Ansible & Salt)
  • Software Design: design patterns, event sourcing, CQRS, algorithms, microservices, web services (SOAP/REST), test-driven development (TDD), domain-driven design (DDD)

Our Offer:

  • Room for personal development through external, internal training tools and learning and development program #GROW
  • Yearly performance bonus based on your seniority
  • Referral bonus, meal vouchers, monthly allowance, gift vouchers twice a year
  • Corporate Health Insurance
  • Mindfulness and Wellbeing programs
  • Up to 28 days of annual leave based on seniority
  • We have a strong Work from Home culture and take into consideration punctual needs and more
  • Flexible working schedule

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Technical Acumen
  • Verbal Communication Skills
  • Problem Solving
  • Decision Making
  • Analytical Skills

Data Engineer Related jobs