MANDATORY: Oracle + OAS + OBIEE (Data Engineer) <ul> <li> Proven 3+ experience in building and designing solutions for data warehouse and experience in working with large data sets </li> <li> Strong database knowledge, i.e., RDBMS Oracle/PLSQL, OBIEE/OAS, OODB, ODS, Warehouse, Cloud AWS </li> <li> Proven experience with Cloud data storage and access using Snowflake / S3 </li> <li> Data movement and ETL experience </li> <li> Experience with Python development and python packages </li> <li> Experience with AWS/Azure cloud environment development and deployment </li> <li> Knowledge of Java and Angular is a plus </li> <li> Domain knowledge in either equities, fixed income, or alternative asset classes is a big plus </li> <li> gile experience or working knowledge of agile organizational models preferred </li> </ul>

Primary Skills: AWS Services (AWS platform and services knowledge including AWS Lambda, API Gateway) + Data Skills -Glue, Informatica/Kafka/AWS Data flow. Data Engineer with Informatica knowledge) Minimum ten (10) years technical experience in each of the following: Design Proof of Technology using AWS platform and services for various client requirements and demonstrate them To take part in software and architectural development activities Enjoy a healthy technical debate but know how to collaboratively solve problems that move everyone forward Mentor team member during design, development, testing & production fix Develop MVP User Stories (Re-usable components/ API's / UI / Mock stubs etc.) Support backlog creation, prioritization, and Story mapping Support in technical design and solutioning Ability to work across tiers - UI development, APIs, databases (basic developer level tasks) Ability to utilize DevOps CI/CD pipeline, create/configure build and deploy jobs Responsible for assigned task delivery and quality and knowledge transfer through daily pairing with Duke team members Works well within tight deadlines (able to prioritize) Required Skills/Qualifications: Key technology skill set - AWS Services (AWS platform and services knowledge including AWS Lambda, API Gateway) + Data Skills -Glue, Informatica/Kafka/AWS Data flow Data Engineer with Informatica knowledge) Advantage having Additional technology skill set - Kafka, Spark, MongoDB/DynamoDB/Aurora 3+ years of experience in cloud development (preferably 5-7 yrs but may not have all been in AWS) Python and Terraform skills - additional advantages Motivated and energetic engineers who are passionate about software modernization Must be able to clearly communicate with team members and leadership What are your top 3 must haves for this role? 1. AWS (lamda) + Data skills (Glue) 2.Informetica 3.AWS Data flow Required Skills: AWS (lambda) + KAFKA with Java or Flink java APIs Nice to have: ECS/EKS, and at least Solution Architect Associate, Developer, or Data Specialty certification.

This role requires a seasoned developer having 8+ years of experience in Big Data, Java. The ideal candidate will be having sound knowledge of big data ecosystem esp. Spark and handling massive data sets. The role also required to optimize existing machine learning jobs and other related processes. Broader responsibilities includes but no limited to analysis, design, development and testing as needed to enhance the product. Should be a self-starter, Team Player, Collaborative and should be thorough focusing on the quality of the deliverable and time to market.

Responsibilities As a data engineer, you will be responsible for developing ETL data pipeline in Google infrastructure using SQL(40%) and should be able to take a simple task in Java coding in Data Pipelines(20%).vsingh You should be able to support the existing legacy workflow written in SQL(20%). Remaining time should be spent to pursue product excellence driving by TL/Engineers. Minimum qualifications Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 3+ years of experience developing data pipelines or software applications in general Experience in developing with SQL/relational databases Working knowledge or experience in developing Java Willingness to learn Google infrastructure and coding practice Preferred qualifications Experience in designing relational databases tables Experience in data warehousing and data analytics Experience in test automation/release automation Ability to adopt agile methodologies Advocate to simple design Excellent verbal and written communication skills TEST LINK Skill Test Link Remark SQL http://hr.Client/g-sql-test

Data Engineer position with 5 to 7 years hands on coding experience in the below technologies. (SQL, Python hands on coding experience mandatory) <ul> <li>GCP / AWS / Azure - any one of the clouds</li> <li>Strong in SQL / Python (or any comparable language) strong coding skills</li> <li>SQL and Python (or any comparable language) skills by having them write coding examples. </li> </ul>For example, on a scale of 1 to 10 (10 being the best), we are interested in candidates with a score of 6 and above. <ul> <li>GCP / AWS / Azure - experience on any one of the clouds <ul> <li>The below cloud services are preferable: <ul> <li>GCP: Bigquery Dataflow Data fusion Google Cloud storage And other services</li> </ul> </li> </ul> </li></ul>

Required Skills: <ul> <li>9 years' experience as Data Engineer</li> <li>Specializes in ETL (Extract, Transform, Load) using ETL tools Matillion, DataStage etc.</li> <li>Experience in Snowflake, Netezza.</li> <li>Experience with Data warehousing techniques(Star Schema, Snowflaking, Normalization, Denormalization, Aggregations)</li> <li>Excellent communication skills to collaborate with stakeholders and convey technical concepts effectively.</li> <li>Ability to work independently and as part of a team in a fast-paced environment.</li> <li>Strong problem-solving skills and attention to detail to address complex data challenges effectively. </li> </ul>Responsibilities: <ul> <li>Collaborates closely with the Project Manager (PM), Architect, and Administrators to develop ETL processes and reports.</li> <li>Responsible for ensuring smooth data extraction, transformation, and loading processes as an ETL developer.</li> <li>Detail design of source to target mapping</li> <li>Create, execute and document unit test plans for ETL and data integration processes and programs</li> <li>Collaborates with cross-functional teams to understand data requirements and translate them into effective solutions.</li> <li>Designs and develops ETL processes to efficiently extract data from various sources and transform it for analytical purposes.</li> <li>Ensures the reliability, accuracy, and performance of ETL processes and reports through rigorous testing and optimization.</li> <li>Maintains documentation for ETL processes, including technical specifications and user guides.</li> <li>Monitor and administer automated and manual data integration and ETL jobs</li> <li>Provides support and troubleshooting assistance for ETL processes as needed.</li> <li>Designs and implements optimized ELT processes to extract, transform, and load data from various sources efficiently.</li> <li>Conducts thorough testing and validation of ELT processes and reports to ensure accuracy and reliability of data analytics.</li> <li>Leads code optimization efforts to enhance the performance and scalability of ELT processes and reports.</li> <li>Provides mentorship and support to junior developers, assisting them in solving technical challenges and improving their skills.</li> <li>Maintains documentation for ELT processes and reports, including technical specifications, design documents, and best practices.</li> <li>Collaborates with cross-functional teams to understand business requirements and translate them into effective BI solutions.</li> <li>Excellent problem-solving skills and attention to detail to address complex data challenges and optimize solutions effectively.</li> <li>Stays updated with the latest trends and best practices in BI, ETL, and data analytics. </li> </ul>

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