Data Engineer Azure Lisboa

Data Engineer Azure
Lisboa
Lisboa, Lisboa, Portugal

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Syffer is an
- inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

What You'll do:

• Design, build, and maintain scalable data platforms;
• Collect, process, and analyze large and complex data sets from various sources;
• Develop and implement data processing workflows using data processing framework technologies such as Spark, and Apache Beam;
• Collaborate with
  - functional teams to ensure data accuracy and integrity;
• Ensure data security and privacy through proper implementation of access controls and data encryption;
• Extraction of data from various sources, including databases, file systems, and APIs;
• Monitor system performance and optimize for high availability and scalability.
  
  
  

• Experience with cloud platforms and services for data engineering (AZURE);
• Proficiency in programming languages like Python, Java, or Scala;
• Use of Big Data Tools such as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc. ;
• Knowledge of data modeling and database design principles;
• Familiarity with data integration and ETL tools (e. g. , Apache Kafka, Talend);
• Understanding of distributed systems and data processing architectures;
• Strong SQL skills and experience with relational and No
  SQL databases;
• Familiarity with cloud platforms and services for data engineering (e. g. , AWS S3, Azure Data Factory);
• Experience with version control tools such as Git.
  
  
  

• Wage according to candidate's professional experience;
• Remote Work whenever possible;
• Allocation of health insurance from the beginning of the employment;
• Delivery of work equipment adjusted to the performance of functions;
• And others.
  
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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