Senior Data Engineer
Dublin
Applications have closed
ActiveCampaign
ActiveCampaign's category-defining Customer Experience Automation platform helps over 180,000 businesses build meaningful connections with their customers.ActiveCampaign's category-defining Customer Experience Automation Platform (CXA) helps over 150,000 businesses in 170 countries meaningfully engage with their customers. The platform gives businesses of all sizes access to 500+ pre-built automations that combine email marketing, marketing automation and CRM for powerful segmentation and personalization across social, email, messaging, chat and text. Over 100,000 of ActiveCampaign's customers use its 850+ integrations including Microsoft, Shopify, Square, Facebook, and Salesforce. ActiveCampaign scores higher in customer satisfaction than any other solution in Marketing Automation, CRM, and E-Commerce Personalization on G2.com and is the Top Rated Email Marketing Software on TrustRadius. Pricing starts at just $9/month. Start a free trial at ActiveCampaign.com.
As a global multicultural company, we are proud of our inclusive culture which embraces diverse voices, backgrounds, and perspectives. We don’t just celebrate our differences, we believe our diversity is what empowers our innovation and success. If this matches your goals and interests, we hope you consider joining our team!
As one of the fastest-growing SaaS companies, we are scaling rapidly to keep up with market demand. We are growing all of our teams and looking for people who share our values, deliver innovation frequently, and join us in our mission to grow our customer base from 150,000 today to millions.
50% of ActiveCampaign's customers are outside the U.S., with Europe representing 30% of this base. To be up close and personal with our customers and build upon our success in the region, we are establishing our EMEA headquarters in Dublin and looking to build a local team to lead this growth.
The Data Engineering organization’s mission is to build a cohesive data strategy and data ecosystem which enables all the internal and external customers to view and act upon meaningful and actionable insights.We aim to achieve this data strategy vision by building a best-in-class repeatable framework to ingest, transform and make it available for consumption by analytics systems, data scientists, application developers and integrations.
About the Role:ActiveCampaign’s Data Engineering team builds and operates a data ecosystem supporting our internal and external customers. We ingest data from multiple sources such as MySQL, Kafka, S3 and third party APIs and provide a clean, single source of truth from our Snowflake data lake.As the senior data engineer, you will work closely with other data engineers and data scientists who own all the data ingestion, transformation, quality and security aspects of our data ecosystem.This is a great opportunity to work in a SaaS company experiencing hyper-growth, and our data is growing faster than ever. You will build a data ecosystem that can support petabyte-per-day ingestion and processing by 2023 while also sustaining our business by building on past decisions.
You Have:
- 7+ years of industry experience implementing and delivering data driven solutions
- 5+ years of experience in designing and implementing data driven applications using big data technologies such as Spark, Kafka, Snowflake, Data bricks, Mapr, Hadoop
- 4+ years of experience with object oriented, functional scripting languages Java, Python, Scala ..etc.
- Strong experience with relational SQL and NoSQL databases
- Experience with Stream processing systems like Spark Streaming, K-SQL
- Experience building data pipelines and orchestrations using tools like Airflow, Oozie
- Strong experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Experience AWS Cloud services like EC2, EKS, RDS ..etc
- Experience building micro service architectures for data driven applications
- ElasticSearch experience and tuning elastic search to better perform is a big plus
- Experience deploying applications on Kubernetes
- Understanding and fostering devOps Culture
- Experience with CI/CD techniques and tools
You Will:
- Provide valuable contributions towards building a data ecosystem which serves whole organization
- Build scalable, optimised “big data” pipelines
- Own responsibility for building data architecture which enables business intelligence and other teams to consume data efficiently
- Enable data scientists to use quality data sets for further insights
- Build processes supporting data transformation, data structures, meta data, dependency and workload management.
- Work with cross functional teams in a dynamic environment
- Build a data lake and data warehouses which enables everyone to consume data effectively
- Promote modern technical standards
Bonus Points:
- Experience with data pipelines and platforms
- Elastic search experience
- Building microservice architecture to enable reporting systems
- Building BI systems
- Kubernetes deployments
- Understanding of Customer Experience Automation, MarTech, Marketing Automation platforms, B2B or B2C SaaS.
- BS degree in a technical discipline or equivalent experience in software / web development
ActiveCampaign is an equal opportunity employer. We recruit, hire, pay, grow and promote no matter of gender, race, color, sexual orientation, religion, age, protected veteran status, physical and mental abilities, or any other identities protected by law.
Our Employee Resource Groups (ERGs) strive to foster a diverse inclusive environment by supporting each other, building a strong sense of belonging, and creating opportunities for mentorship and professional growth for their members.
Our core values: Start with trustMake the customer a heroCultivate inclusion & diversityIterate everything, alwaysCreate WOWPursue growth with gratitude
Visit here to learn about perks and benefits at ActiveCampaign and see our values in action.
Tags: Airflow APIs AWS Big Data Business Intelligence CI/CD Databricks Data pipelines Data strategy DevOps EC2 E-commerce Elasticsearch Engineering Hadoop Kafka Kubernetes MySQL NoSQL Oozie Pipelines Python Scala Security Snowflake Spark SQL Streaming
Perks/benefits: Career development Health care Parental leave Salary bonus Startup environment Wellness
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