CI&T02.03.26
AI SCORE 8.5

Mid Data Developer - Remote Position at CI&T

$90K–$120K/year

About the Role

We are looking for a Mid Data Developer to join our team at CI&T. This Mid Data Developer remote position offers an exciting opportunity to work with cutting-edge technologies and contribute to scalable tech solutions. As a part of our team, you will collaborate with over 8,000 CI&Ters worldwide and engage with more than 1,000 clients in our 30-year history.

What You'll Do

  • Design and implement data ingestion and processing architectures at scale.
  • Develop and maintain Data Lake and Data Warehouse solutions.
  • Create robust data solutions using SQL Server.
  • Utilize Qlikview and Nprinting to develop data solutions.
  • Ensure data quality, governance, and security throughout the data lifecycle.
  • Collaborate with multidisciplinary teams to integrate data from various sources.
  • Propose continuous improvements to existing processes and architectures.
  • Document solutions and best practices to ensure system maintenance and evolution.
  • Make data-driven decisions to enhance business outcomes.

Requirements

  • Experience with SQL Server in table modeling, view definitions, and developing programming structures (procedures, functions, triggers, etc.) using T-SQL and optimizing queries.
  • Experience with Data Warehouse solutions.
  • Familiarity with Big Data, distributed processing, and data integration.
  • Experience with reporting and processing tools like Qlikview and Nprinting.
  • Strong knowledge of data ingestion architecture and ETL/ELT pipelines.
  • Understanding of data modeling and governance best practices.
  • Proficiency in languages such as Python and SQL, along with orchestration tools.
  • Experience with data product versioning using Git.

Nice to Have

  • Experience in the financial market.
  • Experience with cloud environments (Azure).
  • Certifications in Azure or Big Data.
  • Knowledge of SAS, Informatica PowerCenter, PowerBI, Databricks, and Integration Services.

What We Offer

  • Health and dental insurance.
  • Meal and food vouchers.
  • Childcare assistance.
  • Extended parental leave.
  • Partnerships with gyms and wellness professionals via Wellhub (Gympass) and TotalPass.
  • Profit-sharing program.
  • Life insurance.
  • Continuous learning platform (CI&T University).
  • Discount club.
  • Free online platform dedicated to promoting physical, mental health, and well-being.
  • Courses on pregnancy and responsible parenting.
  • Partnerships with online course platforms.
  • Language learning platform.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Mid Data Developer role at CI&T offers a unique opportunity to work remotely while leveraging advanced data technologies. With a strong emphasis on continuous learning and competitive benefits, this position stands out in the tech landscape.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in SQL Server and T-SQL, with hands-on experience in optimizing queries for performance in large-scale data environments, demonstrating an understanding of data warehousing concepts.

Self-motivated and organized, able to manage remote work effectively while collaborating with global teams, utilizing tools like Git for version control and project management.

Strong analytical mindset with experience in ETL processes and big data technologies, enabling efficient data transformation and integration to support business intelligence solutions using Qlikview and Nprinting.

Learning Resources

SQL Server Tutorial for Beginnersguide

Career Path

Mid Data Developer(Now)Senior Data Developer(1-2 years)Data Engineering Lead(3-5 years)

Market Overview

Market Size 2024
$12.5B
Annual Growth
8.2%
AI Adoption
45%
Investment
+150%
Labour Demand
+20%
Avg Salary
$95K

Skills & Requirements

Required
SQL ServerT-SQLPython
Growing in Demand
Data ScienceMachine LearningAzure Data Services
Declining
SQL Server Reporting Services (SSRS)Microsoft Access

Domain Trends

Increased Adoption of Cloud Data Warehousing
Organizations are increasingly migrating to cloud-based data warehouses, with a projected growth of 20% year-over-year as businesses seek scalability and cost efficiency.
Rise of Real-Time Data Processing
The demand for real-time data analytics is growing, with 60% of companies prioritizing real-time insights to enhance decision-making and customer experience.
Integration of AI in Data Management
AI-driven data management tools are expected to rise by 30% in usage, as companies leverage machine learning for data cleaning, transformation, and predictive analytics.

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