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Rarr Technologies Pvt Ltd logo

AWS Databricks Architect (RARR Job 4975)

For International Trade And Development Company

12 - 16 Years

Full Time

Up to 30 Days

Up to 35 LPA

1 Position(s)

Pune, Mumbai, Bangalore / Bengaluru, Chennai, Hyderabad

12 - 16 Years

Full Time

Up to 30 Days

Up to 35 LPA

1 Position(s)

Pune, Mumbai, Bangalore / Bengaluru, Chennai, Hyderabad

Job Description

Cloud DataInformation Architect Core skillset with implementing Cloud data pipelines.

Tools AWS Databricks Snowflake Python Fivetran.

Requirements

  • Candidate must be experienced working in projects involving AWS Databricks Python
  • AWS Native data Architecture and services like S3 lamda Glue EMR
  • Databricks Spark
  • Experience with handing AWS Cloud platform

 

Responsibilities

  • Identify define foundational business data domain data domain elements
  • Identifyingcollaborating with data product and stewards in business circles to capture data definitions
  • Driving data sourceLineage report
  • Reference data needs identification
  • Recommending data extraction and replication patterns
  • Experience on data migration from big data to AWS Cloud on S3 Snowflake Redshift
  • Understands where to obtain information needed to make the appropriate decisions
  • Demonstrates ability to break down a problem to manageable pieces and implement effective timely solutions
  • Identifies the problem versus the symptom
  • Manages problems that require involvement of others to solve
  • Reaches sound decisions quickly
  • Carefully evaluates alternative risks and solutions before taking action
  • Optimizes the use of all available resources
  • Develops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit

 

Skills

  • Hands on experience on AWS databricks especially S3 Snowflake python
  • Experience on Shell scripting
  • Exceptionally strong analytical and problem solving skills
  • Relevant experience with ETL methods and with retrieving data from dimensional data models and data warehouses
  • Strong experience with relational databases and data access methods especially SQL
  • Excellent collaboration and crossfunctional leadership skills
  • Excellent communication skills both written and verbal
  • Ability to manage multiple initiatives and priorities in a fastpaced collaborative environment
  • Ability to leverage data assets to respond to complex questions that require timely answers
  • Has working knowledge on migrating relational and dimensional databases on AWS Cloud platform

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