drjobs Atacama DQ Tech Lead 25662

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Job Location drjobs

Hyderabad - India

Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Responsibilities:
Works closely with the business owner / Product owner / Cross functional Team and gathering
technical requirements
Experience in building and maintaining reliable and scalable ETL pipeline on big data & / or Cloud
platform through the collection storage processing and transformation of large datasets
Collaborate with other teams to design develop and deploy data tools that support both operations
and product use cases
Work with the team in solving problems in big data technologies and prototype solutions to improve
our data processing architecture
Must Have:
Ensuring proper execution of tasks and alignment with business vision and objectives
Oversee activities of the junior data engineering teams
Works closely with the business owner / Product owner / Cross functional Team and gathering
technical requirements
Experience in building and maintaining reliable and scalable ETL pipeline on big data/Cloud platform
through the collection storage processing and transformation of large datasets
Experience working with varied forms of data infrastructure inclusive of relational databases such as
SQL Hadoop Spark
Proficiency in scripting languages in PySpark python
Experience in AWS cloud & DevOps
Experience in Databricks
Experience in Database design/data modelling
Must have strong experience in data warehouse concepts understanding Data Lake Lake House
Concepts any new Big Data eco system.
Experience in testing and validation in order to support the accuracy of data transformations and
data verification
Should be able to independently drive the requirements have solutioning mindset facing business
stakeholders
Soft Skills:
Excellent Verbal and Communication skills needed.
Should be a excellent team player.
Good knowledge on Agile principles and experience working in scrum teams using Jira
Should be comfortable to mentor junior engineers in the team (For Senior Data Engineers)
Should be able to operate in an ambiguous environment with minimal guidance.

forex,jira,credits & loans,databricks,testing and validation,sql server,agile/scrum methodologies,sql,source code configuration management,avaloq knowledge,agile principles,database management,stex trading,node.js,rdbms (ms sql server),swift messaging,microsoft stack,bdd (jbehave),testing,checkmarx,interfaces (ami / capi),mern,automated deployments,arm templates,banking and/or finance industry,webapi,sonarqube,artifactory,jenkins,aws,data warehouse concepts,control m,.net 2 .net core,communication,data processing architecture,cloud hosting (azure preferred),reporting,spark,data lake,database design,mern stack,asp.net,git,devops,python,restful apis,big data,api development,powershell,etl,pyspark,mmkt,ci/cd pipeline,deployment,mongodb,front-end development,build servers,c#,collaboration,webservices (rest/soap),automated testing,client onboarding,rally,react.js,iis,ibm mq,microsoft azure/aws,code quality,ci/cd,lake house concepts,unit testing (nunit),ui/ux designs,cloud platforms,wcf,hadoop,confluence,scm (git),data tools development,data modeling,version control,octopus deploy,"mern stack"

Employment Type

Full Time

Company Industry

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