Database Architect

Established in 1997, 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 global 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 experience in Python, R, or another data-focused language; Familiarity with ETL tools and frameworks (e.

g., Airflow, dbt, Apache Ni. Fi); Experience with BI platforms such as Tableau, Power BI, Looker, or similar; Solid understanding of data modeling, data warehousing concepts, and database design; Experience working with cloud-based data platforms (e.g., AWS Redshift, Google Big. Query, Snowflake); Strong problem-solving abilities 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. If you receive a message from any other domain or requesting payment, do not respond and report it to abuse@softeq.

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