31 lug - Turbigo
E-Novia
ppTo support the growth of our client base and the evolution of our data platform, we are looking for a bData Analytics Engineer /b with 2–4 years of experience who can become a key reference point for data analysis and contribute to the development of our data infrastructure. /p pThe role will work closely with the Tech, Product, and Business teams and will be responsible for: /p ul liVerifying, certifying, and continuously monitoring the quality and reliability of data collected by our proprietary systems /li liExtracting, transforming, and validating data from relational databases (MS SQL, Postgres) and non-relational databases (Cassandra) /li liSupporting the design and maintenance of data pipelines (ETL/ELT) using Python and Databricks /li liPerforming exploratory analysis on complex datasets (mobility, flows, spatio-temporal data) /li liIdentifying patterns, anomalies, missing data, and relevant trends /li liProducing structured reports (mobility reports, custom client analyses, internal analyses) /li liExtracting high-value insights from collected data /li liPreparing and presenting analyses and results to clients, with strong storytelling skills and the ability to translate data into actionable recommendations /li /ul pThe goal is to evolve the role toward increasing autonomy in managing the full data lifecycle: collection, validation, modeling, analysis, and reporting.
/p h3MUST HAVE /h3 ul liStrong knowledge of key languages and frameworks for data analysis / data engineering (Python, Pandas, etc.) /li liFamiliarity with object-oriented programming /li liStrong knowledge of SQL-based relational databases /li liAbility to write complex queries and work with structured datasets /li liGood command of English (written and spoken) /li /ul h3NICE TO HAVE /h3 ul li2–4 years of experience in data analytics and/or data engineering /li liExperience designing or maintaining data pipelines (ETL/ELT) /li liKnowledge of data visualization tools (Plotly, Seaborn) /li liExperience with highly spatio-temporal datasets (time series, geolocated data, mobility data) /li liExperience with non-relational databases (e.g., Cassandra) /li liFamiliarity with cloud environments /li /ul h3What We Offer /h3 ul liTechnical and professional growth opportunities in an innovative, high-tech environment /li liThe opportunity to take on increasing responsibility in strategic projects /li liA dynamic, interdisciplinary, and results-driven workplace /li liLocation: Milan (MM Precotto) / hybrid work model (work from home available) /li /ul pResumes must include written authorization for the processing of personal data in accordance with GDPR (EU Regulation 2016/679). /p pBlimp is an equal opportunity employer: this job posting is open to all genders in accordance with Italian Legislative Decree no. 198/2006. /p /p #J-18808-Ljbffr
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