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AWS Data Engineer

AWS Data Engineer

Fractal

6 - 10 years

0 Lacs

bengaluru karnataka india

Posted:6 hours ago| Platform:

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Skills Required

aws data analytics support cutting technology learning service model architecture drawing design sql nosql redshift apache processing pipeline code python pyspark java scala kafka orchestration airflow databricks communication agile scrum

Work Mode

On-site

Job Type

Full Time

Job Description

It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Job Profile - Senior Engineer AWS cloudExp - 6-10 yearsJob Location – Bangalore

Responsibilities

As a Data Engineer, you will be responsible implementing complex data pipelines and analyticssolutions to support key decision-making business processes in our client’s domain. You willgain exposure to a project that is leveraging cutting edge AWS technology that applies Big Dataand Machine Learning to solve new and emerging problems for our clients. You will gain aadded advantage of working very closely with AWS Professional Services teams directlyexecuting within AWS Services and Technologies to solve complex and challenging businessproblems for Enterprises.

Key Responsibilities Include

Work closely with Product Owners and AWS Professional Service Architects to understand

requirements, formulate solutions, and implement them.

Implement scalable data transformation pipelines as per design
Implement Data model and Data Architecture as per laid out design.
Evaluate new capabilities of AWS analytics services, develop prototypes, and assist in drawing

POVs , participate in design discussions

Requirements

Minimum 3 years’ experience implementing transformation and loading of data from a

wide variety of traditional and non-traditional sources such as structured, unstructured,
and semi structured using SQL, NoSQL and data pipelines for real-time, streaming,batch and on-demand workloads

At least 2 years implementing solutions using AWS services such as Lambda, AWS

Athena and Glue AWS S3, Redshift, Kinesis, Lambda, Apache Spark,

Experience working with data warehousing data lakes or Lakehouse concepts on AWS
Experience implementing batch processing using AWS Glue/Lake formation, & Data

Pipeline

Experience in EMR/MSK
Experience or Exposure to AWS Dynamo DB will be a plus
Develop object-oriented code using Python, besides PySpark, SQL and one other

languages (Java or Scala would be preferred)

Experience on Streaming technologies both OnPrem/Cloud such as consuming and

producing from Kafka, Kinesis

Experience building pipelines and orchestration of workflows in an enterprise

environment using Apache Airflow/Control M

Experience implementing Redshift on AWS or any one of Databricks on AWS, or Snowflake on AWS
Good understanding of Dimensional Data Modelling will be a plus.
Ability to multi-task and prioritize deadlines as needed to deliver results
Ability to work independently or as part of a team
Excellent verbal and written communication skills with great attention to detail and accuracy
Experience working in an Agile/Scrum environment

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

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AWS Data Engineer