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Data ScienceWygasa dzisiaj

Snowflake Data Engineer

apreel
Warszawa
100% zdalnie
Senior
min. 4 lata
Pełny wymiar
B2B
Wynagrodzenie Jawne widełki
23 500–27 700PLN
netto / miesiąc·B2B
Pokaż szczegóły wynagrodzenia
Wynagrodzenie przeliczone z:
140 – 165 PLN/h
Duży ZUS:
Dziennie: ~791 – 945 PLN
Miesięcznie: ~16 618 – 19 837 PLN
Rocznie: ~199 418 – 238 048 PLN
Mały ZUS:
Dziennie: ~845 – 998 PLN
Miesięcznie: ~17 752 – 20 957 PLN
Rocznie: ~213 020 – 251 482 PLN
Oferta zweryfikowana · jawne widełki

01 Zakres zadań

Your key responsibilities

  • Develop & deploy big data pipelines in a cloud environment using Snowflake cloud DW
  • ETL design, development and migration of existing on-prem ETL routines to Cloud Service
  • Interact with senior leaders, understand their business goals, contribute to the delivery of the workstreams
  • Design and optimize model codes for faster execution

Start: September/October 2026

03 Profil

Skills and attributes for success

  • Hands on developer in the field of data warehousing, ETL
  • Hands on development experience in Snowflake.
  • Experience in Snowflake data modelling - roles, schema, databases and security policies.
  • Hands on development experience with Tasks, Streams and stages on Snowflake
  • Experience in Data Integration using third-party tools like Matillion / Palantir / Informatica / DBT etc
  • Experience in Snowflake advanced concepts like setting up resource monitors and performance tuning would be preferable
  • Develop data pipelines to perform batch and Real - Time/Stream analytics on structured and unstructured data.
  • Data Ingress, Egress, Querying using Kafka, NiFi
  • Deep understanding of AWS S3, Lambda, EMR, Glue
  • Data processing patterns, distributed computing and in building applications for real-time and batch analytics.
  • Handling large data sets and perform data wrangling, analysis, etc., using various SQL & NoSQL database technologies, and programming languages such as Java/Scala/Python
  • Good understanding of different file format (ORC, Parquet, AVRO) to optimize queries/processing and compression techniques
  • Have knowledge and skills in DevOps and containerization. Preferable – having deployment knowledge

05 Lokalizacja

Centrum, Warszawa
Tryb pracy:
Praca projektowa
Godziny pracy biura: 7-20
Model pracy
Stacjonarnie
Hybrydowo
100% zdalnie

07 Podobne oferty