Must have

• SQL

• communication skills

• Microsoft

• SDLC

• Kanban

• QA

• PySpark

• Scala

• Databricks

• Hive

• Cloudera

• Airflow

• Big Data

• English (B2)

Nice to have

• Cloud

• Spark

• Software Development Life Cycle

• ALM

Requirements description

• 3-5 years of experience in Data Operations, Application Support, QA, or a related role
• University background in Computer Science/IT/Finance or equivalent
• Strong hands-on with SQL
• Basic knowledge of  Databricks (Delta Lake, Hive, Parquet), Airflow
• Basic knowledge Cloud/Big Data: S3/Scality,
• Basic scripting (Scala) will be  helpful
• Excellent communication and collaboration; able to work with cross-functional teams;
• Good command of English (B2)
• Analytical mind,
• Willingness to learn
• Open to work in shifts and manage multiple priorities in a dynamic environment

Offer description

We offer:

• Contract of employment or B2B contract
• Hybrid work in  Warsaw
• Working in a highly experienced and dedicated team
• Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
• On-line training and certifications fit for career path
• Access to e-learning platform
• Mindgram - a holistic mental health and wellbeing platform
• Work From Anywhere (WFA) - the temporary option to work remotely outside of Poland for up to 140 days per year (including Italy, Spain, the UK, Germany, Portugal, and Bulgaria)
• Social events

Your responsibilities

1. Monitor and maintain existing production data pipelines
2. Read Spark/Scala logs and perform analytical SQL queries to validate data and support regulatory reporting
3. Ensure daily and monthly pipeline executions; communicate with technical and non-technical teams to ensure on-time reporting to financial/regulatory bodies
4. BAU support and on-call; coordinate issue resolution and incident documentation