AWS Data Engineer

2 weeks ago

Bengaluru, Karnataka, India Fractal Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 cloud

Exp years

Job Location – Bangalore

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

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

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