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MoEngage is looking for a driven Lead Software Engineer - Data to join our team. Are you passionate about uncovering hidden opportunities and championing them Do you crave ownership and a chance to be part of something impactful, thriving in a fast-paced environment where innovation and customer-centric thinking are the norm If so, this could be a worthwhile opportunity for you!
As part of the Engineering team at MoEngage, you can expect to:
As a member of the Data team, you will be working with cutting-edge data engineering and distributed computing problems, focusing on improving throughput, reducing latency, and maintaining uptime of data pipelines and web services. You'll write test-driven code for processing TBs of data in multi-region distributed systems.
Here are some of the challenging projects we are working on within the Data team:
MoEngage is an insights-led customer engagement platform for the customer-obsessed marketers and product owners. We help you delight your customers and retain them for longer. With MoEngage you can analyze customer behavior and engage them with personalized communication across the web, mobile, and email. MoEngage is a full-stack solution consisting of powerful customer analytics, AI-powered customer journey orchestration, and personalization - in one dashboard From Fortune 500 enterprises such as Deutsche Telekom, Samsung, and Ally to mobile-first brands such as Flipkart, OLA, and bigbasket - MoEngage has helped amplify customer engagement for all. Product managers and growth marketers can use MoEngage to provide a personalized experience throughout the customer lifecycle stages – from onboarding to retention to growth. What makes MoEngage different, is a full-stack solution consisting of powerful customer analytics, AI-powered customer journey orchestration and personalization capabilities - in one dashboard.
Job ID: 121374273
Skills:
secure coding , Sql, Spring Batch, Data Modeling, Java, Python, Elasticsearch, Airflow, dbt
Skills:
Java, Sql, Python, Data Modeling, Cloud Computing, Microservices, ETL Processes