Data Engineer

80 - 110 PLN/ godz./ godz.B2BB2B (netto)

MidZdalnieFull-time·B2B

#477310·Dodano 5 dni temu·8

Źródło: nofluffjobs.com

Aplikuj teraz

Tech Stack / Keywords

Data engineeringDataSQL T-SQL MS SQL ServerSSISETLPower BIDAXPower QueryData modelingPerformance tuningPythonGoogle BigQuery

Podsumowanie oferty

Join the data team to design and maintain data pipelines, optimize relational databases, and deliver reporting models for business decisions across sales, finance, and operations. Work across database development and business intelligence using SQL, SSIS, and Power BI.

Wymagania

Strong experience with MS SQL Server and T-SQL, including complex queries, stored procedures, functions, and query performance optimization.
Good knowledge of MySQL administration and query development.
Experience building and maintaining ETL processes, particularly with SQL Server Integration Services (SSIS).
Ability to design end-to-end data processing workflows from source systems to reporting layers.
Experience developing reports and dashboards in Power BI.
Experience with data modeling in Power BI, including relationships, hierarchies, and schema design.
Proficiency in DAX and Power Query.
Experience publishing reports and managing Power BI workspaces, access control, and security settings.
Experience with data validation and reconciliation testing.
Ability to define and implement data quality rules.
Competence in identifying and analyzing business data discrepancies and errors.
Experience working in on-premises environments with SQL Server and MySQL.
Experience working across development stages (DEV, TEST, PROD).
Ability to collaborate with application development teams on database integrations.
Experience troubleshooting and tuning database performance.
Experience maintaining and providing operational support for databases used by business applications.

Nice to have:

Experience with BigQuery, including SQL and ETL processes in Google Cloud Platform.
Basic knowledge of Python for data analysis.

Obowiązki

Database Optimization & Development:

Write, review, and optimize complex SQL queries, stored procedures, and database structures in MS SQL Server and MySQL.

ETL Pipeline Design:

Build, deploy, and maintain ETL/ELT processes, primarily using SQL Server Integration Services (SSIS).

Data Modeling & BI:

Build end-to-end data models, calculated columns, and measures using DAX and Power Query.

Reporting & Dashboards:

Develop, deploy, and maintain reports and dashboards in Power BI.

Data Quality & Governance:

Conduct data validation, reconciliation testing, and root-cause analysis of data discrepancies.

Application & Database Support:

Provide operational support, performance tuning, and troubleshooting for databases backing business applications.

Cross-Functional Collaboration:

Work with software developers and business stakeholders to translate functional requirements into technical solutions.

VIRTUSA

21 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz