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AWS Data Engineer(Python, Pyspark)

Newark, NJ, United States

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Techtriad Team - T3, is seeking the following. Apply via Dice today!

Role: Data Engineer

Location: Newark, NY Hybrid

RTH: Yes

Job Description:

Data Tech team is looking for a Data Engineer to join a diverse team dedicated to providing best in class data services to our customers, stakeholders and partners.

As a part of our CDO organization, you will work with our ML Engineers, Data Scientist and various BUs to define solutions for operationalizing data-driven decision making in a cost effective and scalable manner.

Qualifications:

Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience

Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises

AWS Solutions Architect or AWS Big Data Certification preferred

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

Experience implementing metadata solutions leveraging AWS non-relational data solutions such as ElastiCache and DynamoDB

Experience in AWS data lake, data warehouse and business analytics

Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS

Knowledge of ETL/ ELT

Working experience with Hadoop, HDFS, SQOOP, Hive, Python, and Spark is desired

Experience working on Agile projects

Requirements:

3 - 5 years of experience as Data Engineer

Experience developing business applications using NoSQL/ SQL databases.

Experience working with Object stores (S3) and JSON is must have

Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, ElasticSearch.

Serverless application development using AWS Lambda.

Responsibilities:

Designing, building and maintaining efficient, reusable and reliable architecture and code

Ensure the best possible performance and quality of high scale web applications and services

Participate in the architecture and system design discussions

Independently perform hands on development and unit testing of the applications

Collaborate with the development team and build individual components into complex enterprise web systems

Work in a team environment with product, frontend design, production operation, QE/ QA and cross functional teams to deliver a project throughout the whole software development cycle

Responsible to identify and resolve any performance issues

Keep up to date with new technology development and implementation

Participate in code review to make sure standards and best practices are met

Plus

Experience with business intelligence tools such as Tableau, Power BI or equivalent

Aware of Machine learning algorithms (supervised/unsupervised)

Nice to have AWS developer certificate

AWS Data Engineer(Python, Pyspark)

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