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AWS Data Engineer

ConfidentialBengaluru / Bangalore, Gurgaon / Gurugram

30+ days ago

Job description

Responsibilities :

As a Data Engineer, you will be responsible implementing complex data pipelines and analytics

solutions to support key decision-making business processes in our client s domain. You will

gain exposure to a project that is leveraging cutting edge AWS technology that applies Big Data

and Machine Learning to solve new and emerging problems for our clients. You will gain a

added advantage of working very closely with AWS Professional Services teams directly

executing within AWS Services and Technologies to solve complex and challenging business

problems 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

Skills Required

Nosql, snowflake , Py Spark, Databricks, LAMDA, Sql, Python, Aws

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Aws Data Engineer • Bengaluru / Bangalore, Gurgaon / Gurugram

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