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Aws Data Engineer - Financial Services

💰 $100,000 - $150,000 🌍 United States of America 📅 07/05/2023

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Job Description

##### Job Description :

Our client, a large financial company, is currently searching for a strong for
AWS Data Engineer.

**Title: AWS Data Engineer**

Location: Fully Remote

**Primary Focus – **AWS Data Engineer , python , pyspark , spark , scala ,
"data lake"

datalake, glue , athena , redshift , rds , stepfunctions , "step

functions"

**Your Required Skills:**

* 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
* 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.

**Your Desired Skills:**

* Experience working in Hadoop or other Big data platforms
* Exposure to deploying code through pipeline
* Good exposure to Containers like ECS or Docker
* Direct experience supporting multiple business units for foundational data work and sound understanding of capital markets within Fixed Income
* 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.
* BS in Computer Science or related area; 5-10 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.