Job
Description
Wissen Technology is Hiring fo r Senior Data engineer About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges Role Overview : We are looking for a highly skilled and experienced Senior Data Engineer to join our growing data engineering team in Bangalore . In this role, you will be responsible for designing, developing, and maintaining scalable and efficient data pipelines and data architectures. You will collaborate closely with cross-functional teams to ensure data accessibility, reliability, and performance to support business intelligence, analytics, and data science initiatives Experience : 9-13 Years Location: Bangalore Key Responsibilities Design , build, and maintain scalable and reliable data pipelines for ingesting, transforming, and loading structured and unstructured data from diverse sources. Develop optimized SQL queries and modular scripts for data manipulation and transformation. Create and maintain data models and schemas to support advanced analytics, reporting, and operational processes. Automate routine data engineering tasks and data quality checks using scripting (Python, Shell, etc.) and orchestration tools. Collaborate with engineering, product, and data science teams to understand data requirements and deliver high-quality solutions. Act as a liaison between engineering and business teams to translate business needs into technical solutions. Implement monitoring, alerting, and troubleshooting mechanisms for data pipelines and dashboards to ensure data integrity and availability. Define and implement best practices for data validation, data governance, and compliance. Manage test data and QA environments, supporting test data management processes. Work in an Agile environment and contribute to continuous improvement initiatives across the data engineering landscape. Required Skills and Qualification Bachelors or masters degree in computer science , Information Systems, or a related field. 9+ years of professional experience in data engineering or a related field. Strong expertise in SQL development and performance tuning for both RDBMS and cloud-based databases. Hands-on experience with cloud platforms, particularly AWS (e.g., S3, Glue, Lambda, Redshift, EMR). Experience with modern data warehouse technologies like Snowflake and Amazon Redshift . Strong background in data modeling , ETL/ELT architecture, and data warehousing concepts. Proficiency in programming languages such as Python , Scala , or Java . Experience working with
