Senior Software Engineer (Data Engineering) India - Remote

Demandbase - Seattle, WA

Full-time - Mid Level

Remote - Seattle, WA

Publishing Industries

About the position

Demandbase is the Smarter GTM company for B2B brands, dedicated to helping B2B companies achieve their revenue goals with fewer resources. We align sales and marketing teams around a combination of their data, our data, and artificial intelligence, which we refer to as Account Intelligence. This allows companies to identify, engage, and focus their time and money on the accounts most likely to buy. Our commitment extends beyond technology; we invest heavily in our people, culture, and the community around us. With offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, we offer remote work options and have been recognized as one of the best places to work in the Bay Area, including accolades such as "Best Workplaces for Millennials" and "Best Workplaces for Parents." We are dedicated to attracting, developing, retaining, and promoting a diverse workforce, encouraging individuals from historically underrepresented backgrounds to apply. In this role, we are looking for individuals who are excellent at fundamentals, possess a willingness to learn, and have an unstoppable desire to follow through with their responsibilities. The position involves designing, modeling, and implementing data analysis and analytics solutions. You will be a hands-on contributor for data projects, engaging in high-level design, analysis, experiments, data architecture, and data modeling. You will support ETL pipeline modules by designing state-of-the-art transformations, data cleaning, matching, reports/dashboards, and statistical analysis. Additionally, you will utilize analysis techniques such as segmentation, regressions, clustering, and data profiling to analyze trends and report key performance indicators. Collaboration is key, as you will work closely with cross-functional teams in an Agile environment to build a large-scale, high-availability, fault-tolerant data analytics platform using the Apache Spark ecosystem, data visualization, and advanced analytics.

Responsibilities

• Design, model, and implement data analysis and analytics solutions.
• Act as a hands-on individual contributor for data projects, focusing on high-level design, analysis, experiments, data architecture, and data modeling.
• Support ETL pipeline modules by designing state-of-the-art transformations, data cleaning, matching, reports/dashboards, and statistical analysis.
• Utilize analysis techniques such as segmentation, regressions, clustering, and data profiling to analyze trends and report key performance indicators.
• Collaborate with cross-functional teams in an Agile environment to build a large-scale, high-availability, fault-tolerant data analytics platform using the Apache Spark ecosystem, data visualization, and advanced analytics.

Requirements

• Bachelor's or master's degree in computer science, Mathematics, or Statistics from a top engineering institution.
• Practical experience in handling complex analytics projects and experience in advanced SQL for data analysis.
• 4+ years of Data Engineering experience in building enterprise data/analytics solutions.
• Experience in data stewardship to continually improve the quality of data and information, including accuracy, integrity, and relevance to the business.
• Strong practical experience in Databases, Advanced SQL, and Python/R.
• Very good understanding of data strategies, data analysis, and data model design, with the ability to evolve data products according to business requirements.
• Ability to benchmark data systems, analyze workflow bottlenecks, and propose robust data solutions to eliminate them.

Nice-to-haves

• Experience in designing/implementing ETL data pipelines using open-source platforms.
• Exposure to big data emerging technologies like Hive, Red Shift (DWH), Hbase, Apache Spark, and integration with enterprise visualization frameworks.

Benefits

• Remote work options
• Recognition as one of the best workplaces for Millennials and Parents
• Commitment to diversity, equity, and inclusion
• Opportunities for career growth and development