drjobs Data Engineer SQL ETL

Data Engineer SQL ETL

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Job Location drjobs

Krakow - Poland

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Overview

Permanent fulltime hybrid.

Connecting clients to markets and talent to opportunity.

With 4300 employees and over 400000 retail and institutional clients from more than 80 offices spread across five continents were a Fortune100 Nasdaqlisted provider connecting clients to the global markets focusing on innovation human connection and providing worldclass products and services to all types of investors.

Whether you want to forge a career connecting our retail clients to potential trading opportunities or ingrain yourself in the world of institutional investing The StoneX Group is made up of four segments that offer endless potential for progression and growth.

Business Segment Overview: Engage in a deep variety of businesscritical activities that keep our company running efficiently. From strategic marketing and financial management to human resources and operational oversight youll have the opportunity to optimize processes and implement gamechanging policies.

Responsibilities

Position Purpose: We are seeking a skilled Data Engineer to design develop and implement scalable data solutions that support the organizations regulatory financial operational and analytical needs. This role is pivotal in modernizing our data infrastructure by transforming our onpremises SQL data warehouse into a nextgeneration Data Lakehouse using Databricks.

Technology Ecosystem:

  • Databases: Microsoft SQL Server (TSQL SSIS SSRS).
  • Programming languages: Python PySpark Scala
  • Cloud: Azure AWS
  • Big Data: Hadoop

Primary duties will include:

Data Processing & Pipelines:

  • Develop and optimize data pipelines using PySpark Scala and Python for data transformation aggregation and analysis.
  • Build and maintain ETL processes across development staging and production environments ensuring seamless operation of intraday data feeds and nightly jobs.

Data Warehouse Development:

  • Collaborate with data warehouse leads to enhance multidimensional data warehouses by implementing new features and expanding functionality.
  • Design data processing pipelines and logical/physical database schemas to support reporting and analytics.

Reporting & Troubleshooting:

  • Create recurring/adhoc reports and automated data feeds utilizing tools like SQL Server Reporting Services (SSRS).
  • Troubleshoot data issues validate results and perform adhoc data analysis to address business needs.

Collaboration & Optimization:

  • Work closely with development teams senior management and other departments to ensure alignment on database and reporting solutions.
  • Optimize SQL queries stored procedures and data processing workflows to maximize performance.

Qualifications

To land this role you will need:

  • 35 years of experience developing software in a professional environment (preferably financial services but not required).
  • 5 years of experience with Microsoft SQL Server (TSQL SSIS SSRS).
  • Proficiency in Spark Databricks and big data processing technologies (e.g. Hadoop).
  • Expertise in building and managing ETL processes and data pipelines using Python PySpark and Scala.
  • Practical knowledge of data warehouse concepts (Kimball methodology).
  • Familiarity with .NET development eventdriven ETL and SDLC frameworks.
  • Experience creating data transformation and aggregation jobs in Scala/Spark.
  • Ability to design scalable data processing pipelines and write unit tests for data transformations.
  • Analytical and resultsdriven approach to solving business problems using technology.
  • Handson experience working in an agile/SCRUM environment.
  • Strong communication skills for both technical and nontechnical stakeholders including senior management and crossfunctional teams.
  • Fast learner with a passion for exploring and mastering new technologies.
  • Detailoriented team player with a proactive mindset.
  • Comfortable working in a fastpaced highgrowth environment.

Education / Certification Requirements:

  • Bachelors degree or relevant work experience in Computer Science Mathematics Data Engineering or related technical discipline.

Working environment:

  • Hybrid at ul. Mogilska 35 we have private parking for employees.

#LIHybrid #LIDK1

Employment Type

Full-Time

Company Industry

About Company

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