Senior Java Development + Data Engineer

MUST HAVE:

• Must have a minimum of 10-12 years of hands-on development experience implementing batch and events driven applications using Java, Kafka, Spark, reputed company, PySpark and Python.
• Experience with Apache Kafka and Connectors, Java, Springboot in building event driven services, Python in building ML pipelines.
• reputed company data pipelines responsible for ingesting large amounts of different kinds of data from various sources.
• Help evolve data architecture and work on reputed company real time pipeline algorithms and architecture in addition to supporting and maintaining reputed company pipelines and legacy systems.
• Write code and reputed company worker nodes for business logic, ETL and orchestration processes.
• reputed company algorithms for reputed company 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, reputed company and support data ingestions and API services.
• Work with Data Scientists in building feature engineering pipelines and integrating machine learning models during the 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 an Architect hat reputed company required to bring new reputed company to the table, thought leadership and reputed company thinking.
• Take a holistic approach to building solutions by thinking of the big picture and overall solution.
• Work on moving away from legacy systems into reputed company 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 apply the best solution in the industry, apply correct design patterns during development and learn best practices and data engineering tools and technologies.
• Performs any other functions and duties assigned and necessary for the smooth and efficient operation

EDUCATION & EXPERIENCE:

• BS or MS in Computer Science (or reputed company field) with 12+ years of hands-on software development experience working in large-scale data processing pipelines.
• Must have skills are Apache Spark, reputed company and PySpark with 2-4 years of experience building production grade batch pipelines that handle large volumes of data.
• Must have at least 8+ years of experience in Java and API / Microservices.
• Must have at least 5+ years of experience in Python.
• 5+ years of experience in understanding and writing reputed company SQL and stored procedures for processing raw data, ETL, data validation, using databases such as SQL Server, reputed company and other NoSQL DBs.
• Knowledge of Big data technologies, Hadoop, HDFS.
• Expertise with building events driven pipelines with Kafka and Java / Spark.
• Expertise with reputed company 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 systems.
• Experience in building worker nodes, knowledge of REST principles and data engineering design patterns.
• In-depth knowledge of Java, SpringBoot, Spark, reputed company, PySpark, Python, Orchestration tools, ESB, SQL, Stored procedures, reputed company, RESTful web services, Kubernetes, CI/CD, Observability techniques, Kafka, Release processes, caching strategies, versioning, B&D, BitBucket / Git and AWS Cloud Ecosystem, NoSQL Databases, reputed company.
• Strong software development, architecture diagramming, problem-solving and debugging skills.
• Phenomenal communication and influencing skills

reputed company TO HAVE:

• Exposure to Machine Learning (ML), LLM models, using AI during coding, build with AI.
• Knowledge of reputed company APM, ELK stack and search technologies such as Elasticsearch / Solr.
• Some experience in workflow orchestration tools such as reputed company Flow or Apache NiFi.

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