Sr. Data Engineer

2 weeks ago

Newark, United States JSR Tech Consulting Full time
Job Description :

8p - Engineering lead to help the design/build of the CDO enterprise data platforms
Design, Develop and Implement
  • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS.
  • Data intake/ request/ onboarding services and service documentation.
  • Data ingestion services for batch/ real time data ingest and service documentation.
  • Data processing services for batch/ real time (Glue/ Kinesis/ EMR) and service documentation.
  • Data storage services for data lake (S3)/ data warehouses (RDS/ Redshift)/ data marts and service documentation.
  • Data services layer including Athena, Redshift, RDS, microservices and APIs.
  • Pipeline orchestration services including lambda, step functions, MWAA (optional).
  • Data security services (IAM/ KMS/ SM/ encryption/ anonymization/ RBAC) and service documentation.
  • Data access provisioning services (Accounts, IAM Roles RBAC), processes, documentation and education.
  • Data provisioning services for data consumption patterns including microservices, APIs and extracts.
  • Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs.
  • Metadata capture and catalog services for pipeline/ log data for monitoring / support.
  • Architect and implement CI/ CD strategy for EDP .
  • Implement high velocity streaming solutions using Amazon Kinesis, SQS, and SMS.
  • Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift.
  • Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
  • Implement cost/ spend monitoring for AWS based data platform.
  • Implement audit reporting for access of AWS based data platform.
  • Contribute to the implementation of a data strategy to enable LOBs and Corporate Functions with a robust, holistic view of data - driven decision making.
  • Partner with immediate engineering team, product owner, IT, partners on EDP agenda.
  • Leverage and continuously develop best practices, standards, and frameworks.
  • Provide technology thought leadership, consulting, and coaching/ mentoring.
  • Work with scrum master to develop and own backlog, stories, epics, sprints.
  • System design and Architecture for products/ applications for EDP.
  • Work closely with various stakeholders (BI, AIML, MDM and other teams) to understand their use-cases and design optimal solution for them.
  • Execute technical design and infrastructure strategy for EDP .
  • Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case.
Qualifications
  • Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience.
  • Experience implementing, supporting data platforms on AWS for large enterprises.
  • Full stack development experience building secure internal facing applications.
  • Programming experience with Java, Python/ Scala, Shell scripting.
  • Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/ Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
  • Solid experience implementing solutions on AWS based data lakes preferred.
  • Experience implementing metadata solutions leveraging AWS non-relational data solutions such as ElastiCache and DynamoDB.
  • AWS Solutions Architect or AWS Big Data Certification preferred.
  • Experience in AWS data lake, data warehouse and business analytics.
  • Experience and understanding of various core AWS services such as IAM, Cloud Formation, EC2, S3, EMR/Spark, Glue, Datasync, CloudHealth, CloudWatch, Lambda, Athena, and Redshift.
  • Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS.
  • Experience with DevOps and Continuous Integration/ Delivery (CI/ CD) concepts and tools.
  • Experience with business intelligence tools such as Tableau, Power BI or equivalent.
  • Knowledge of ETL/ ELT.
  • Awareness of Data Management & Governance tools.
  • Working experience with Hadoop, HDFS, SQOOP, Hive, Python, and Spark is desired.
  • Experience working on Agile projects.

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