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Mid-Level Systems Analyst – Data Focus
Aché Laboratórios. Translate business needs into reliable, scalable, and easy-to-consume data solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing data pipelines using Python and SQL, ensuring data quality and performance across various environments. Proficient in data visualization, analytics, and machine learning applications to drive business solutions.
Highest-signal resume keywords
Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyETL/ELT WorkflowsData Lake/Lakehouse Solutions
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IngestionData TransformationData ProcessingData Quality MonitoringData GovernanceMachine LearningAnalyticsData VisualizationAdvanced SQL QueriesBatch and Streaming Data Processing
Soft Skills
CollaborationRequirement GatheringTechnical Specification DefinitionPlanning SupportAgile Methodologies
Tools & Technologies
Azure SynapseData FactoryDatabricksPower BIPandasPySparkSparkRPL/SQLData LakesData Warehouses
Industry Keywords
Big Data EcosystemsData EngineeringData AnalyticsData Visualization ToolsCloud Environments
Tech Stack
Tools & technologiesAzureCloudETLPandasPySparkPythonSQL
About the role
Key responsibilities & impact- Translate business needs into reliable, scalable, and easy-to-consume data solutions
- Build and enhance data pipelines and processes, ensuring data quality, performance, and availability
- Bridge Data Engineering and Data Visualization by structuring data for analyses and dashboards
- Work with diverse data sources and volumes, identifying opportunities for improvement and automation
- Enhance data solutions through engineering best practices, performance optimization, and governance
- Explore new technologies and applications of Analytics, Machine Learning, and AI to address business challenges
- Develop and maintain data pipelines using Python and SQL
- Perform data ingestion, transformation, processing, and delivery
- Develop and optimize Data Lake/Lakehouse solutions
- Structure data for Data Visualization tools, especially Power BI
- Support the development and enhancement of data models and analytical datasets
- Monitor and resolve data quality, performance, and availability issues
- Partner with POs, data analysts, architects, engineers, and business teams
- Participate in refinement sessions, discovery, and technical solution definition
- Document solutions, processes, and business rules related to data products
- Contribute to the evolution of Data Engineering practices and the adoption of new technologies
- Support Analytics and Machine Learning initiatives
- Work with data repositories, Data Lakes, Hubs, Spokes, and Data Warehouses
- Prepare data pipelines for consumption
- Ensure architectural compatibility with the standard data stack
- Create technical documentation for developments
- Develop end-to-end ETL/ELT workflows with scalability, quality, and reliability across On-Premises and Azure Cloud environments
Requirements
What you’ll need- Bachelor’s degree in Information Engineering, Computer Science, Information Systems, Data Processing, or a related field
- Knowledge of tools for data analysis, storage, and retrieval in Big Data ecosystems
- Experience gathering requirements and defining technical specifications
- Experience with data extraction, transformation, processing, cleansing, and loading (ETL/ELT) through pipelines in Azure Synapse, Data Factory, and Databricks
- Experience writing advanced SQL queries and strong proficiency in Python for distributed processing, pipelines, and automation
- Hands-on experience with data processing and integration from APIs, databases, files, and cloud storage using pandas, PySpark, SparkR, or PL/SQL
- Experience with relational (SQL) and non-relational/columnar databases
- Knowledge of batch and streaming data processing
- Ability to estimate timelines and support planning, providing a technical perspective for task sizing
- Practical experience with Agile methodologies (Scrum, Kanban, OKRs, Inception) is a plus
Benefits
Comp & perks- Medical and dental insurance
- Aché and Biosintética medications at no cost for you and your eligible dependents
- Preventive exams with no co-payment
- On-site medical consultations and diagnostic sample collection*
- Wellhub (formerly Gympass)
- “Estar Bem Aché” integrated health program
- Support programs for pregnant and postpartum employees and spouses
- Partnerships and agreements offering scholarships and educational discounts at various institutions
- Profit-Sharing Program (PPR)
- Private pension plan with a 1:1 employer match
- On-site restaurant and meal allowance
- Transportation allowance, parking, or company shuttle*
- Childcare allowance or exclusive daycare center at the Guarulhos site
- Short Friday program exclusively at the Guarulhos site for administrative positions
- Christmas gift