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 NiFi);
- 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 BigQuery, 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 [email protected]
