Salary Range: $80,****** To $96,****** AnnuallyEstablished in ****, Softeq was built from the ground up to specialize in new product development and R&D;, tackling the most difficult problems in the tech sphere.
Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting.
Our superpower is to deliver all of this under one roof on a general scale.
So let's get started and build a better future together!
We are looking for a strong Data Engineer who can work with a large amount of data and prepare it for the ML pipelines, provide data analysis and visualization, and continuously perform storage optimization tasks.
Experience with different types of SQL databases(MySQL/PostgreSQL/MSSQL), knowledge of JOINS, inner selects, and index specification/creation to speed up requests.Responsibilities:- Design, develop, and maintain scalable data pipelines and ETL processes to support analytics and business intelligence; - Write complex SQL queries to extract, transform, and analyze large datasets from multiple sources; - Build and maintain dashboards, reports, and other data visualizations to deliver actionable insights to business stakeholders; - Collaborate with cross-functional teams, including engineering, product, and business units, to understand data needs and deliver robust solutions; - Perform exploratory data analysis (EDA) to uncover trends, anomalies,



and opportunities for deeper investigation; - Ensure data quality and integrity through rigorous validation and data governance practices; - Develop scripts and tools using languages like Python or R to automate workflows and conduct advanced data analyses; - Support data infrastructure improvements and contribute to the overall data architecture and design; - Document processes, data models, and pipelines for internal knowledge sharing and future reference.Requirements:- Proficiency in SQL with the ability to write efficient, optimized queries for complex datasets; - Strong analytical skills with experience working with large-scale data environments (e.G., data warehouses, relational databases); - Programming experiencein Python, R, or another data-focused language; - Familiarity with ETL tools and frameworks (e.G., Airflow, dbt, Apache NiFi); - Experience with BI platforms such as Tableau, Power BI, Looker, or similar; - Solid understanding ofdata modeling, data warehousing concepts, and database design; - Experience working with cloud-based data platforms (e.G., AWS Redshift, Google BigQuery, Snowflake); - Strong problem-solvingabilities and attention to detail; - Excellent communication skills with the ability to translate technical findings into business insights; - Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field (or equivalent work experience).
Softeq communicates only from @ softeq.Com email addresses.
We never request payments or fees for any reason during hiring — including trainings or courses to be completed, equipment, onboarding, or background checks — and we will not ask for banking information, cryptocurrency or gift cards.
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📌 Database Architect (Lagos de Moreno)
🏢 Softeq Development
📍 Lagos de Moreno