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Senior Business Intelligence Developer

Há 1 mês


Lisboa, Lisboa, Portugal Top Sigma Tempo inteiro

Job Title: Senior BI Developer / Report Developer
Location: Portugal (Portuguese residency required)
Work model: Hybrid
DAY-TO-DAY DUTIES:
As a Senior BI Developer at Top Sigma, you will:

  • Build and maintain dashboards and data visualizations using Tableau.
  • Validate data, ensure data quality, and support data architecture improvements.
  • Work extensively with SQL databases and create complex T-SQL queries to extract and process required data.
  • Develop ETL processes and integrate data for reporting and analysis.
  • Collaborate with stakeholders to design and implement data solutions.
  • For advanced analytics, utilize Python scripting and AWS Big Data technologies (S3, Glue, EMR, RedShift, Athena, Kinesis).
  • Facilitate data cleanup and process improvements, leveraging tools like Excel.
REQUIREMENTS:
At least 5 years of experience working with Tableau (v10+), MS SQL, ETL, and Excel.
Proficient in developing analytical dashboards and improving data visualizations using Tableau Desktop, Server, and Online.
Strong knowledge of T-SQL and ability to write complex queries.
Experience in data solution design and data architecture.
Familiarity with Big Data AWS technologies (S3, Glue, EMR, RedShift, Athena, Kinesis).
Strong analytical skills, capable of data validation and data quality reporting.
Ability to work with Python scripting for automation and data transformation tasks.
ABOUT TOP SIGMA:
At Top Sigma, we specialize in providing innovative DevOps, AI, and Cloud Solutions. We aim to optimize performance, ensure security, and drive cost efficiency for our clients, enabling scalability and resilience. We guide our clients through workshops, training, and consultancy to achieve their transformation goals.

Key Responsibilities:
Develop and maintain data visualizations and dashboards using Tableau.
Design and implement data solutions to meet business requirements.
Collaborate with stakeholders to ensure data quality and architecture improvements.
Develop ETL processes and integrate data for reporting and analysis.
Utilize Python scripting and AWS Big Data technologies for advanced analytics.