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Mid-Senior Data Developer, PySpark, AWS at CI&T | JobVerse
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Mid-Senior Data Developer, PySpark, AWS
CI&T
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Mid-Senior Data Developer, PySpark, AWS
Brazil
Full Time
1 week ago
No Sponsorship
Apply Now
Key skills
Airflow
AWS
ETL
Pandas
Postgres
Python
SQL
ELT
Analytics
Snowflake
dbt
FastAPI
Serverless
EKS
Lambda
Git
CI/CD
Prototyping
About this role
Role Overview
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with a focus on reliability, reprocessing, and cost-efficiency.
Orchestrate jobs and routines using Airflow (AWS) and serverless functions (AWS Lambda); support deployments on EKS when needed.
Model data in Snowflake (bronze/silver/gold layers) and develop transformations in dbt (macros, tests, docs).
Build integrations and services in Python using FastAPI to expose/consume data and automate processes.
Ingest, normalize, and version market data, with emphasis on historical data and distribution (batch; minimal streaming).
Write high-performance SQL (tuning, partitioning/clustering in Snowflake, and in Postgres).
Use Pandas for ad-hoc data handling, validations, and prototyping transformations.
Ensure quality (dbt tests, data checks), observability (logs/metrics/alerts), security (access controls, masking), and documentation.
Collaborate with business, analytics, and product teams to define SLAs, data contracts, and governance standards.
Requirements
Strong experience with SQL (query optimization, relational and analytical modeling).
Hands-on experience with Snowflake (warehousing, roles, tasks, performance, cost management) and dbt (models, tests, sources, exposures).
Experience building data pipelines in Airflow (DAGs, sensors, retries, SLAs) and AWS Lambda.
Knowledge of Postgres (ingestion, basic replication/CDC or maintenance, routines).
Experience with Python for data (Pandas) and API development with FastAPI.
Practice in batch-oriented ELT/ETL, versioning with Git, and CI/CD (secure deployment of pipelines/dbt models).
Understanding of data security and governance (access control, lineage, documentation, sensitive data).
Technical English for reading documentation.
Tech Stack
Airflow
AWS
ETL
Pandas
Postgres
Python
SQL
Benefits
Health and dental insurance;
Meal and food allowance;
Childcare assistance;
Extended parental leave;
Partnerships with gyms and health and wellness professionals via Wellhub (Gympass) / TotalPass;
Profit-sharing (PLR);
Life insurance;
Continuous learning platform (CI&T University);
Discount club;
Free online platform dedicated to physical and mental health and well-being;
Pregnancy and responsible parenting course;
Partnerships with online course platforms;
Language learning platform;
And many others
Apply Now
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