Aws Cloud Engineer

2 days ago


Bengaluru Chennai Hyderabad, India Ltimindtree Full time US$ 80,000 - US$ 1,50,000 per year

Greetings

We Have Multiple Openings for AWS Databricks and AWS Glue. Fill the below form accordingly.

Interested candidates can fill the form below.

AWS Databricks:-

AWS Glue:-

AWS Glue:-

Primary Skill: AWS Glue, Python,Pyspark,Airflow

Secondary Skill: RDS,Redshift,Snowflake

  • Snowflake Understanding of its architecture, data ingestion, and query optimization. (existing data warehouse)
  • AWS Services Extensive experience with AWS Glue, AWS Lambda, Amazon EMR, Amazon S3, and Apache Airflow for building data pipelines.
  • Python & SQL Strong programming skills for data transformation and querying.
  • Data Warehousing Experience in managing existing Snowflake data warehouses and optimizing performance.

AWS Databricks:-

  • Primarily looking for a Data Engineer with expertise in processing data pipelines using Databricks PySpark SQL on Cloud distributions like AWS
  • Must have AWS Databricks
  • Good to have PySpark Snowflake Talend
  • Requirements-
  • Candidate must be experienced working in projects involving
  • Other ideal qualifications include experiences in
  • Primarily looking for a data engineer with expertise in processing data pipelines using Databricks Spark SQL on Hadoop distributions like AWS EMR Data bricks Cloudera etc.
  • Should be very proficient in doing large scale data operations using Databricks and overall very comfortable using Python
  • Familiarity with AWS compute storage and IAM concepts
  • Experience in working with S3 Data Lake as the storage tier
  • Any ETL background Talend AWS Glue etc. is a plus but not required
  • Cloud Warehouse experience Snowflake etc. is a huge plus
  • 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 Databricks Spark SQL AWS Cloud platform especially S3 EMR Databricks Cloudera etc.
  • 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 cross functional leadership skills
  • Excellent communication skills both written and verbal
  • Ability to manage multiple initiatives and priorities in a fast-paced 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
  • Skills
  • Mandatory Skills : Apache Spark, Databricks, Java, Python, Scala, Spark SQL.

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