Middle/Senior Data Engineer (Microsoft Fabric)

Itransition

La Unión, Spain

10 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

3 years minimum

Working hours

Shift work

Languages

English

Job source

www.indeed.com

Tech stack

Artificial Intelligence Airflow Unit Testing Microsoft Azure Extract Transform Load (ETL) Data Mart Data Visualization Data Warehousing IBM DB2 Relational Databases DevOps Python (Programming Language)

+30 more

PostgreSQL Microsoft SQL Server MongoDB MySQL Online Analytical Processing NoSQL Online Transaction Processing Oracle (Applications) Performance Tuning Power BI Standard Sql SQL Databases SQL Server Reporting Services SQL Server Integration Services Data Streaming Subversion Tableau (Software) Talend Workflow Management Systems YAML Azure Data Factory Git Microsoft Fabric Pyspark Cassandra AWS Glue Qlikview Data Pipelines Databricks Programming Languages

Requirements

3+ years of commercial Data Engineer experience
Strong knowledge of SQL
Experience in ETL/ELT processes design, development, and maintenance
Experience in DWH modeling and Data Mart design
Hands-on experience with Microsoft Fabric (Lakehouse, Fabric Warehouse, Data Pipelines, Notebooks)
Experience with ETL/Orchestration tools (MS Fabric Data Factory /Azure Data Factory - preferred, SSIS, Apache Airflow, AWS Glue, Talend, etc.)
Experience with at least one RDBMS (Microsoft SQL Server, MySQL, PostgreSQL, Oracle, DB2)
Experience in OLAP/OLTP queries performance tuning
Experience working with cloud platforms (Azure preferred)
Experience with at least one VCS (Git, SVN, etc.)
Experience with programming languages (PySpark, Python)
Experience working in an Agile/Scrum development process
Upper-Intermediate or above level of English, * Experience with Databricks
Experience with BI visualization tools (e.g. Power BI, SSRS, Tableau, or Qlik)
Experience with NoSQL databases (Mongo, Cassandra, etc.)
Understanding of DevOps practices and CI/CD pipeline concepts, including working with YAML-based pipeline definitions
Experience with unit and integration testing, * Collaborate with product managers and fellow engineers to help define and implement innovative data deliverables
Build complex ETL pipelines
Support data flows effectively
Improve system’s performance and maintainability, optimize SQL queries
Follow and promote data best practices and standards

Benefits & conditions

Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate