Data Engineer

Wissen Technology is hiring for Data Engineer About Wissen Technology: At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia.

Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge,cutting-edgetechnologyexpertise, and a relentless focus on quality.

Wedon’tjust meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with clientobjectives. We have a proventrack recordof building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models.

Our outcome-based projects ensure predictable costs and timelines, while our agile podsprovideclients withthe flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent.

Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time. Job Summary: We are seeking a skilled and detail-oriented Data Engineer (4–6 years) to design, build, andoptimizescalable data pipelines using modern data stack technologies. The role focuses on working with DBT, Snowflake, SQL, and Python to deliver high-quality, reliable data solutions that support business analytics and decision-making.

The ideal candidate will have strongexpertisein data modeling, ETL/ELT processes, and cloud-based data warehousing. Experience: 4-6Years Location: Bangalore/Mumbai Mode of Work: Hybrid Key Responsibilities: Develop,maintain, andoptimizedata pipelines using DBT and SQL on Snowflake DB. Collaborate with data analysts,QAand business teams to build scalable data models.

Implement data transformations, testing, and documentation within the DBT framework. Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning. Use Python (preferred) for automation, scripting, andadditionaldata processing as needed.

Required Skills and Qualification 4+ years of experience indata engineering or related roles. Strong hands-on experience withDBT (Data Build Tool)and advanced SQL. Experience working withSnowflakeor similar modern cloud data warehouses.

Good understanding ofdata modeling concepts(dimensional modeling, normalization). Strong knowledge ofETL/ELT processes and data pipeline design. Experience withPythonfor data processing and automation (preferred but important).

Ability to work with cross-functional teams and deliver scalable data solutions. Strong analytical and problem-solving skills. Good to have Skills Experience with other cloud platforms (AWS, Azure, GCP).

Familiarity withdata orchestration tools(Airflow or similar). Knowledge ofdata governance, testing frameworks, and data quality tools. Exposure to BI/reporting tools (Power BI, Tableau).

Experience working in Agile/Scrum environments. Wissen Sites: