Kutir Technologies
11 months ago
Sr BI Engineer
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Company information
- Company
- Kutir Technologies
- Location
- México Mexico
- Posted
- 11 months ago
Job description
Name of the position: Sr BI Engineer
Reports to: Team Lead/Delivery Manager
Department/Project: Engineering
PURPOSE OF THE JOB
As a BI Engineer, you will build and scale data models, pipelines, and self-service analytics across the organization
and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting.
You'll focus on developing a reliable aggregation layer and reporting structure that meets growing business needs, enabling teams to access and analyze data independently. And contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.
MAIN TASKS AND RESPONSIBILITIES
Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
Addresses area-level risks, provides and implements mitigation plan.
Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
Responsible for resolving crisis situations within his/her AOR.
Design, develop, and maintain robust data models to support analytical and product data needs across the organization
Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance.
Own and define business KPIs, their measurement plans, data requirements and reporting.
Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse.
Initiates and conducts code reviews, creates code standards, conventions and guidelines.
Suggests technical and functional improvements to add value to the product;
Constantly improves his/her professional level.
Collaborates with other teams.
REQUIRED EDUCATION AND EXPERIENCE
Must have:
8+ years of professional experience.
University degree in Computer Related Sciences or similar.
6+ years experience working in business intelligence, data analytics, Data engineering or a similar role.
Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault)
Proficiency in a programming language Python.
Experience building reporting and dashboarding solutions using data lake/Snowflake or similar ecosystem
Expert in Database fundamentals, SQL and performance tuning.
Experience in maintaining data integrity and reliability by leveraging data quality frameworks and orchestration tools for seamless pipeline execution.
Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau).
Excellent communication skills and experience working with technical and non-technical teams.
Comfortable working in fast paced environment, self starter and self organizing.
Ability to think strategically, analyze and interpret market and consumer information.
Nice to have:
Experience with real-time data processing and streaming technologies
Familiarity with machine learning concepts and their data requirements.
What are the Optional skills and skill proficiencies for this position?
"""Nice to have:
Experience with real-time data processing and streaming technologies
Familiarity with machine learning concepts and their data requirements."
Reports to: Team Lead/Delivery Manager
Department/Project: Engineering
PURPOSE OF THE JOB
As a BI Engineer, you will build and scale data models, pipelines, and self-service analytics across the organization
and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting.
You'll focus on developing a reliable aggregation layer and reporting structure that meets growing business needs, enabling teams to access and analyze data independently. And contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.
MAIN TASKS AND RESPONSIBILITIES
Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
Addresses area-level risks, provides and implements mitigation plan.
Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
Responsible for resolving crisis situations within his/her AOR.
Design, develop, and maintain robust data models to support analytical and product data needs across the organization
Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance.
Own and define business KPIs, their measurement plans, data requirements and reporting.
Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse.
Initiates and conducts code reviews, creates code standards, conventions and guidelines.
Suggests technical and functional improvements to add value to the product;
Constantly improves his/her professional level.
Collaborates with other teams.
REQUIRED EDUCATION AND EXPERIENCE
Must have:
8+ years of professional experience.
University degree in Computer Related Sciences or similar.
6+ years experience working in business intelligence, data analytics, Data engineering or a similar role.
Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault)
Proficiency in a programming language Python.
Experience building reporting and dashboarding solutions using data lake/Snowflake or similar ecosystem
Expert in Database fundamentals, SQL and performance tuning.
Experience in maintaining data integrity and reliability by leveraging data quality frameworks and orchestration tools for seamless pipeline execution.
Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau).
Excellent communication skills and experience working with technical and non-technical teams.
Comfortable working in fast paced environment, self starter and self organizing.
Ability to think strategically, analyze and interpret market and consumer information.
Nice to have:
Experience with real-time data processing and streaming technologies
Familiarity with machine learning concepts and their data requirements.
What are the Optional skills and skill proficiencies for this position?
"""Nice to have:
Experience with real-time data processing and streaming technologies
Familiarity with machine learning concepts and their data requirements."
Required skills
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