Data Architect: III (Senior) - Judge Group

Title: Data Architect: Iii (Senior) 

Fully Remote

Contract To Hire | 3+ Months

Job Description

At client, we work to build and improve a platform that helps real estate professionals work effectively and helps delight home buyers and sellers with an excellent experience. We do that by combining great technology with great people – and we’re looking for a Senior Data Engineer to join our team.

What we’re looking for:

• You’re a talented, creative, and motivated engineer who loves developing powerful, stable, and intuitive apps – and you’re excited to work with a team of individuals with that same passion.
• You’ve accumulated years of experience, and you’re excited about taking your mastery of Big Data and Java to a new level.
• You enjoy challenging projects involving big data sets and are cool under pressure. You’re no stranger to fast-paced environments and agile development methodologies – in fact, you embrace them.
• With your strong analytical skills, your unwavering commitment to quality, your excellent technical skills, and your collaborative work ethic, you’ll do great things here at Anywhere.

What you’ll do:

• As a Senior Data Engineer, you’ll be responsible for building high performance, scalable data solutions that meet the needs of millions of agents, brokers, home buyers, and sellers.
• You’ll design, develop, and test robust, scalable data platform components.
• You’ll work with a variety of teams and individuals, including product engineers to understand their data pipeline needs and come up with innovative solutions.
• You’ll work with a team of talented engineers and collaborate with product managers and designers to help define new data products and features.

Skills, accomplishments, interests you should have:

• BS/MS in Computer Science, Engineering, or related technical discipline or equivalent combination of training and experience.

• 7+ years core Scala/Java experience: building business logic layers and high-volume/low latency/big data pipelines.

• 5+ years of experience in large scale real-time stream processing using Apache Flink or Apache Spark with messaging infrastructure like Kafka/Pulsar.

• 7+ years of experience on Data Pipeline development, ETL and processing of structured and unstructured data.

• 5+ years of experience using NoSQL systems like MongoDB, DynamoDB and Relational SQL Database systems (PostgreSQL) and Athena.

• Experience with technologies like Lambda, API Gateway, AWS Fargate, ECS, CloudWatch, S3, Datadog.

• Experience owning and implementing technical/data solutions or pipelines.

• Excellent written and verbal communication skills in English.

• Strong work ethic and entrepreneurial spirit.

Additional Information - Main skills set that are a must are:

1. Spark with Scala

2. Apache Kafka

3. No SQL DB experience like MongoDB

4. Experience in AWS cloud services.