Senior Data Architect

Key skills: Apache Spark, Scala, Bigdata, Kafka, Java, Microservices

Job Description:

Essential Function and Responsibilities:

• Must have minimum of 15 years of experience implementing batch and streaming applications using Spark and Scala
• Experience with Confluent or Apache Kafka and Connectors
• Experience with Java and building microservices, web applications or other applications
• Develop data pipelines responsible for ingesting large amounts of data from various sources
• Help evolve data architecture and work on Next Generation real time pipeline algorithms and architecture in addition to supporting and maintaining current pipelines and legacy systems
• Write code and develop worker node for business logic, ETL and orchestration processes
• Develop algorithms for better attribution rules and category classifiers
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive search, discovery, and recommendations.
• Work closely with architects, engineers, data analysts, data scientists, contractors/consultants and project managers in assessing project requirements, design, develop and support data ingestions and API services
• Work with Data Scientists in integrating machine learning models during content enrichment process
• Able to influence on priorities working with various partners including engineers, project management office and leadership
• Mentor junior team members, define architecture, code review, hands-on development and deliver the work in sprint cycle
• Participate in design discussions with Architects and other team members for the design of new systems and re-engineering of components of existing systems
• Wear Architect hat when required to bring new ideas to the table based on past experience, thought leadership and forward thinking
• Take holistic approach to building solutions by thinking big picture and overall solution
• Work on moving away from legacy systems into next generation architecture
• Take complete ownership from requirements, solution design, development, production launch and post launch production support. Participate in code reviews and regular on-call rotations.
• Desire to learn best practices and data engineering tools and technologies

Education and Experience:

• BS or MS in Computer Science (or related field) with
• 15 years of hands-on software development experience working in large-scale data processing pipelines
• Must have skills are Apache Spark 3.x and Scala with 4-5 years of experience building production grade batch pipelines that handle large volumes of data.
• 8+ years of experience in Java and API / Microservices
• 8+ years of experience in understanding and writing complex SQL and stored procedures for processing raw data, ETL, data validation, using databases such as SQL Server, Redis and other NoSQL DBs
• Knowledge of Big data technologies, Hadoop, HDFS
• Expertise with building spark streaming pipelines with Kafka
• Expertise with Amazon AWS stack such as EMR, EC2, S3
• Experience working with APIs to collect and ingest data as well build the APIs for business logic
• Experience working with setting up, maintaining, and debugging production systems and infrastructure
• Experience in building fault-tolerant and resilient system
• Experience in building worker nodes, knowledge of REST principles and data engineering design patterns
• In-depth knowledge of Spark, Scala, Java, Orchestration tools, ESB, SQL, Stored procedures, Docker, RESTful web services, Kubernetes, CI/CD, Observability techniques, Kafka, Release processes, caching strategies, versioning, B&D, Bitbucket / Git and AWS Cloud Ecosystem
• Strong software development, architecture diagramming, problem-solving and debugging skills
• Phenomenal communication and influencing skills

Nice to have:

• Knowledge of Elastic APM, ELK stack and search technologies such as Elasticsearch/Solr
• Exposure to Machine Learning (ML) concepts
• Nice to have some experience in workflow orchestration tools such as Air Flow or Apache NiFi

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