Data Architect (AWS)
25.5k - 32.7k PLN25 500 - 32 700 PLN/ mies.B2B
SeniorFull-time·B2B
#357988·Dodano 20 dni temu·3
Źródło: nofluffjobs.comTech Stack / Keywords
Data engineeringJavaPythonScalaSQLApache SparkDatabricksApache AirflowApache KafkaAmazon MSKSnowflakeAmazon Redshift
Firma i stanowisko
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.
Wymagania
- Proven experience designing scalable data platforms and data pipeline architectures
- Hands-on experience with batch and streaming data processing solutions
- Strong expertise in AWS cloud services for data engineering and analytics workloads
- Proficiency in Python, Scala, or Java (preferably Python), along with strong SQL skills
- Knowledge of big data technologies such as Apache Spark, Databricks, or Flink
- Experience with orchestration tools such as Apache Airflow or MWAA
- Practical experience with streaming technologies such as Apache Kafka, Amazon MSK, or Kinesis
- Familiarity with data warehousing solutions such as Snowflake or Amazon Redshift
- Upper-intermediate or higher level of English
Obowiązki
- Design and support the implementation of scalable data solutions and data pipelines using AWS services
- Develop and maintain batch and streaming data processing architectures
- Collaborate with stakeholders to gather requirements and translate them into technical solutions and implementation plans
- Support data ingestion activities, including source-to-target mappings and integration of new data sources
- Participate in architecture discussions and contribute to scaling the data platform and maintaining data models
- Work with orchestration tools such as Apache Airflow or MWAA to manage workflows
- Support implementation of real-time data processing solutions using Apache Kafka, Amazon MSK, or Kinesis
- Utilize data warehousing solutions such as Snowflake or Amazon Redshift for analytics and storage
- Create and maintain technical documentation, data schemas, and solution-related materials
- Participate in the full project lifecycle, from PoC and MVP stages to production implementation
- Explore new technologies, build prototypes, and contribute to knowledge sharing within the engineering community
Oferta
- Sport subscription
- Training budget
- Private healthcare
- International projects
- Flat structure
- Small teams
- Free coffee
- Canteen
- Bike parking
- Free snacks
- Free parking
- In-house trainings
- Modern office
- No dress code
Karta sportowa
Dofinansowanie szkoleń
Opieka zdrowotna
Szkolenia wewnętrzne
Firmowa stołówka
Parking dla rowerów
Darmowe przekąski
Inne informacje
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.
SoftServe
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