(2) Data Engineers : Financial Services Industry

Data Engineer

Location: Domestic, NEWARK

Target Start Date: ASAP

Years of Experience: 10 years

Right to hire: Yes Please provide their availability in EST Time Zone The assignment will be 100% remote We can work on C2C (GC or Citizens)

Job Description

• Build new and existing applications in preparation for a launch of new business.
• Align with the business teams and rest of the AMFMCT teams in assessing business needs and transforming them into scalable applications.
• Build and maintain code to manage data received from heterogenous data formats including web-based sources, internal/external databases, flat files, heterogenous data formats (binary, ASCII).
• Help build new enterprise Datawarehouse and maintain the existing one.
• Design and support effective storage and retrieval of very large internal and external data set and be forward think about the convergence strategy with our AWS cloud implementation.
• Assess the impact of scaling up and scaling out and ensure sustained data management and data delivery performance.
• Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.

Your Required Skills

• 10+ years of experience in building out Data pipelines in Java/Scala with direct experience supporting multiple business units for foundational data work and sound understanding of capital markets within Fixed Income
• 5 + years of experience working in AWS Cloud especially services like S3, EMR, Lambda, AWS Glue and StepFunctions.
• 5+ years of experience with Spark
• Exposed to working in an Agile environment with Scrum Master/Product owner and ability to deliver
• Strong experience with data lake/data marts/data warehouse - experience working in Hadoop or other Big data platforms
• Exposure to deploying code through pipeline
• Good exposure to Containers like ECS or Docker
• Knowledge of Jira, Confluence, SAFe development methodology & DevOps
• Excellent analytical and problem-solving skills with the ability to think quickly and offer alternatives both independently and within teams.
• Proven ability to work quickly in a dynamic environment.
• Bachelor's degree Computer Science or a related field.
• Flair for data, schema, data model, how to bring efficiency in big data related life cycle. Understanding of automated QA needs related to Big Data and visualization platforms.
• Java is must and also should have UI experience
• BS in Computer Science or related area; 5-8 years software development experience; Minimum 2 Year Experience on Big Data Platform; Proficiency with Java, Python, Scala, HBase, Hive, MapReduce, ETL, Kafka, Mongo, Postgres. Visualization technologies etc.
• Flair for data, schema, data model, how to bring efficiency in big data related life cycle
• Understanding of automated QA needs related to Big data
• Understanding of various Visualization platform (Tableau, D3JS, others)
• Proficiency with agile or lean development practices
• Strong object-oriented design and analysis skills
• Excellent technical and organizational skills
• Excellent written and verbal communication skills
• Ability to communicate the status and challenges and align with the team
• Demonstrating the ability to learn new skills and work as a team

Required skill sets / technologies: Programming language -- Java (must), Python, Scala, Ruby; Batch processing -- Hadoop MapReduce, Cascading/Scalding, Apache Spark; Stream processing -- Apache Storm, AKKA, Samza, Spark streaming; NoSQL -- HBase, MongoDB, Cassandra, Riak,; ETL Tools Data Stage, Informatica; Code/Build/Deployment -git, hg, svn, maven, sbt, jenkins, bamboo