Senior Data Engineer (Fintech)

TL;DR

Senior Data Engineer (Fintech): Designs and develops custom data pipelines for batch and near-real-time processing, contributing to the platform's data strategy within a banking project with an accent on performance optimization over Avro and Parquet on HDFS. Focus on debugging Spark and Impala sessions, designing secure data solutions, and mentoring junior colleagues.

Location: Hybrid • Prague (Czechia)

Salary: 85 000 - 90 000 CZK per year

Company

hirify.global is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.

What you will do

• Design and develop custom data pipelines for batch and near-real-time processing.
• Optimize performance over Avro and Parquet on HDFS, including partitioning and bucketing.
• Debug Spark and Impala sessions (SHS, Impala).
• Design secure data solutions following security-by-design principles.
• Monitor Big Data applications using Kafka, InfluxDB, Grafana.
• Mentor junior colleagues and transfer technical know-how.

Requirements

• Strong experience with the Cloudera Hadoop stack: HDFS, Hive Metastore, Impala, Spark.
• Advanced SQL skills and scripting experience in Bash, Python, PowerShell.
• Experience in Linux production environments.
• Familiarity with Airflow, Informatica, NiFi.
• Proven ability to independently design complex data solutions.
• Communicative, systematic, and responsible with strong team collaboration skills.

Nice to have

• Experience with Databricks – Data Engineering.
• Exposure to Azure Data Stack (Data Factory, ADLS, Synapse, etc.)