Cloud Data Engineer with Scalable ETL Expertise

22 godzin temu

Prosta Warszawa, Polska On The Spot Development Pełny etat

Company Overview

Haptiq is a pioneering technology company that delivers cutting-edge software and digital solutions to drive profitable growth for its clients.

The company operates as the nexus of portfolio management, growth, and optimization, offering SaaS platforms fueled by innovative AI, a comprehensive end-to-end data management platform, and a suite of strategic services.

A key flagship offering is Olympus FinTech, a dynamic solution empowering private equity, debt, and CLO managers with customizable and streamlined workflows, robust data management, and sophisticated reporting capabilities.

Pantheon by Haptiq is a platform that creates interactive, personalized virtual experiences. It uses AI to make content more engaging and customizable, making it useful for entertainment, marketing, and education. Users can easily build and manage these immersive experiences in real-time.

Job Description

  • Develop and optimize efficient ETL pipelines for data ingestion, transformation, and loading.
  • Design, build, and deploy Python scripts and ETL processes using Azure Data Factory (ADF).
  • Work with structured, semi-structured, and unstructured data across diverse sources.
  • Implement dimensional data modeling and data warehousing concepts, including OLTP, OLAP, facts, and dimensions.
  • Ensure best practices in data management, security, and governance within cloud environments.
  • Troubleshoot and optimize ADF jobs and ETL workflows for performance and scalability.
  • Perform code reviews, manage version control using GitHub, and deploy via continuous integration/continuous deployment (CI/CD) pipelines.
  • Collaborate on cloud-based architectures and enterprise-wide data migrations.

Required Skills and Qualifications

  • 3+ years of experience in Python coding.
  • 5+ years of experience in SQL Server development and large datasets.
  • Proficiency in developing and deploying ETL pipelines using Databricks and PySpark.
  • Expertise in cloud data warehouses like Synapse, Redshift, Snowflake, or ADF.
  • Knowledge of event-based/streaming data ingestion and processing.
  • Strong skills in SQL, Python, data modeling, and dimensional design.
  • Hands-on experience with cloud architectures and messaging systems.
  • Familiarity with CI/CD workflows and deployment processes.
  • Certifications: Cloud certifications are highly valued.
  • Experience with Airflow, AWS Lambda, Glue, and Step Functions will be advantageous.

Benefits

  • Work in a highly professional team with an informal and friendly atmosphere.
  • Ability to work from our comfortable downtown office in Warsaw.
  • Paid vacation - 20 business days per year, 100% sick leave payment.
  • 5 sick days per year.
  • Equipment provision.
  • Inflation-protected wages with regular revision of compensation conditions.
  • Partially compensated educational costs (for courses, certifications, professional events, etc.).
  • Medical insurance (after the end of the probationary period).
  • English and Polish courses - 2 times a week (at the pandemic time - remotely).
  • Bright and memorable corporate life: corporate parties 2 times a year, gifts to employees in honor of life events.

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