Capco

Data Business Analyst – GCP / Hadoop

Brak informacji o wynagrodzeniu

NieokreśloneHybryda·KrakówFull-time

#434885·Dodano dwa miesiące temu·1

Źródło: Capco

Aplikuj teraz

Tech Stack / Keywords

GCP HadoopHDPSQL BigQuery HiveSpark SQLData GovernanceGitHub

Firma i stanowisko

Capco Poland is a global technology and management consultancy specializing in digital transformation in financial services, with expertise in banking, payments, capital markets, and wealth and asset management.

Wymagania

Experience delivering data solutions within banking or financial services.
Strong hands-on experience with SQL and complex data analysis.
Practical experience with Google Cloud Platform and BigQuery.
Experience analysing data in Hadoop/HDP environments using Hive and/or Spark SQL.
Ability to translate business requirements into technical data requirements.
Good understanding of data mappings, transformation logic, and data flows.
Experience preparing detailed specifications, solution designs, or implementation requirements for Data Engineering teams.
Strong analytical and problem-solving skills regarding Data Quality and Data Completeness.
Ability to investigate data issues, identify root causes, and define solutions.
Experience collaborating with stakeholders including business teams, Data Engineers, architects, and Data Owners.
Familiarity with GitHub and ability to create or modify scripts supporting data analysis and validation.

Nice to have:

Understanding of Data Governance principles and data ownership models.
Experience with data access management and permission processes.
Understanding of data pipelines, ETL/ELT processes, and cloud-based analytical platforms.
Experience supporting complex data transformation or data migration initiatives.

Obowiązki

Gathering, analysing and refining business and data requirements into technical requirements.
Acting as a liaison between business stakeholders, data teams, architects, and Data Engineers during the data delivery lifecycle.
Identifying relevant data sources in HDP/Hadoop and determining delivery to the analytical layer in Google Cloud Platform.
Analysing and validating data using SQL, BigQuery, Hive, and Spark SQL.
Preparing and maintaining Asset Designs, data mappings, and solution logic.
Creating implementation-ready requirements and tickets for Data Engineering covering data sources, transformations, mappings, and business rules.
Collaborating with Data Engineers during implementation to clarify requirements and validate solutions.
Verifying data accuracy, completeness, consistency, and alignment with requirements.
Identifying and analysing Data Quality and Data Completeness issues; coordinating resolution efforts.
Delivering activities related to Data Governance, including data mapping, standards validation, and access requirements.
Preparing data access and permission requests for users and groups.
Analysing and resolving issues affecting data and pipelines, including root cause analysis.
Supporting enhancements to data pipelines including changes to logic, schedules, and source systems.
Creating and modifying scripts or code maintained in GitHub to support analysis and validation.

Benefity

Flexible collaboration model based on a B2B contract.
Opportunity to work on diverse projects.

Elastyczne godziny

Inne informacje

*Candidates must be located in Poland.

Capco

51 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz