Home

AWS Databricks Data Engineer Lead in Hartford CT (Onsite) (Only Local Candidates) at Hartford, Connecticut, USA
Email: [email protected]
From:

saravanaraj,

Smartitframe

[email protected]

Reply to: [email protected]

Hi ,

Greeting from Smart IT Frame,

Below is the great opportunity. Please have a look, if you are interested, please drop me your updated resume along with your contact information ASAP. In case you are not available please feel free to pass on this email to your friends or colleagues who might be interested.

Role: AWS Databricks Data Engineer Lead

Location: Hartford CT (Onsite) (Only Local Candidates)

Duration: Long Term

Interview process: Video Call

Job Description:

Must Have AWS Glue Databricks Python

Good to have Spark Snowflake

Overview

Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise As a Data Engineer you will play a key role in growing and transforming analytics landscape

Looking for Data Engineer lead having experience on building ingestion solutions to integrate 3rd party data using databricks

Requirements

Strong python skills

AWSCloud infrastructure knowledge commonly used AWS Glue S3 IAM Airflow

Experience with building data pipelines using Databricks on AWS

S

Knowledge and Handson Snowflake

Experience in Agile methodologies and Atlassian tools like JIRA

Expertise in using version control tools like Git Bitbucket

Experience on CICD using Kubernetes GIT and Monitoring and ing tools

Experience on data migration from OnPrem databases to AWS Cloud on S3

Roles & responsibilities:

Acts as a single point of contact for databricks projects for customer

Provides innovative and cost effective solution using AWS databricks python

Develops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit

As a leader in the Cloud Engineering you will be responsible for the overseeing development

Learn adapt quickly to new Technologies as per the business need

Develop a team of Operations Excellence building tools and capabilities that the Development teams leverage to maintain high levels of performance scalability security and availability

Understand where to obtain information needed to make the appropriate decisions

Demonstrate ability to break down a problem to manageable pieces and implement effective timely solutions

Identify the problem versus the symptoms

Develop solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit

Skills

The Candidate must have 15 yrs of experience in Databricks AWS Python

Hands on experience on AWS Cloud platform especially S3 Glue Lamda

Experience on spark scripting

Has working knowledge on migrating relational and dimensional databases on AWS Cloud platform

Relevent 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

Knowledge of Amazon AWS architecture and design

Minimum Qualifications

Bachelors degree or equivalent training with data tools techniques and manipulation

Four years of data engineering or equivalent experience

Skills

Databricks-SparkSQL-Scala/Python/Java

Keywords: sthree information technology Connecticut
AWS Databricks Data Engineer Lead in Hartford CT (Onsite) (Only Local Candidates)
[email protected]
[email protected]
View all
Thu Oct 24 22:32:00 UTC 2024

To remove this job post send "job_kill 1875270" as subject from [email protected] to [email protected]. Do not write anything extra in the subject line as this is a automatic system which will not work otherwise.


Your reply to [email protected] -
To       

Subject   
Message -

Your email id:

Captcha Image:
Captcha Code:


Pages not loading, taking too much time to load, server timeout or unavailable, or any other issues please contact admin at [email protected]
Time Taken: 7

Location: Hartford, Connecticut