About us
At SmithMaven Technologies Private Limited (Bridgehorn), we leverage data to drive decisions and enhance our products and services. We are seeking a motivated Data Engineer to join our dynamic team. This role is ideal for individuals who are eager to learn and grow in the field of data engineering.
Job summary
As a Data Engineer, you will assist in the development, maintenance, and optimization of our clients’ data infrastructure. You will work closely with data analysts and data scientists to ensure that our data systems are efficient, reliable, and scalable.
Responsibilities
- Database and data warehouse development: Strong understanding of SQL and designing efficient queries, conceptual understanding of the tabular data model and its development.
- Data pipeline development: Assist in building and maintaining data pipelines for ETL (Extract, Transform, Load) processes using various tools and techniques in Azure (Data Factory, Databricks including Data Lakehouse, DevOps, and Storage Accounts) and Snowflake environments.
- Data lake development: Assist in developing the medallion framework for persisting, transforming, and creating data models. Depending on the data extraction frequency, design appropriate approaches for data ingestion, i.e., full versus incremental data loads.
- Data visualization: Build powerful dashboards and reports in Power BI, Tableau, or any other BI tool.
- Documentation: Document data processes and workflows for knowledge sharing.
- Collaboration: Work with data analysts and software engineers to understand data requirements and deliver relevant datasets.
Required skills and qualifications
- Experience: Minimum 3 years of experience is mandatory in data management projects with technologies like Microsoft Fabric, Snowflake, and Databricks, with related tools and technologies.
- Programming skills: Excellent skills in SQL and Python are essential for this role.
- Data management: Basic understanding of database management systems, data warehouses, and data modelling is essential for this role.
- Analytical skills: Strong analytical abilities to interpret trends and patterns in complex datasets.
- Communication skills: Excellent verbal and written communication skills for collaborating with team members.
Benefits
- Competitive salary and performance bonuses.
- Opportunities for continuous learning, professional development, and certifications.
- Collaborative and inclusive work environment with a focus on innovation.
- Direct access to decision makers in the industry.