Data engineer

1 month ago

hyderabad, India SAM Manpower and Career Services LLP Full time
Overview The DataEngineer plays a crucial role in the organization being responsiblefor developing constructing testing and maintaining architecturessuch as databases and largescale processing systems. They workclosely with data scientists analysts and other stakeholders tounderstand their goals and requirements. Data engineers areinstrumental in transforming data into a format that can be easilyanalyzed to support the organizationsdecisionmaking.Keyresponsibilities Mandatoryskills
AWSTransferFamilyAmazonGlueAWSLambdaAmazon MWAA(Airflow) RedshiftS3
Skillsrequired
Work with Sr. Data engineer to understand the data pipelinedesign. Responsiblefor data acquisition and data processing. Build and test datapipelines.Configure data pipelines to connect to data sources and target datawarehouses.Orchestrate datapipelines
  • .
Requiredqualifications
  • Bachelors or Mastersdegree in Computer Science Information Technology or a relatedfield.
  • Proven experience as a Data Engineer orin a similar role.
  • Proficiency in programminglanguages such as Python Java or Scala.
  • StrongSQL skills with the ability to develop optimize and debug complexSQL queries.
  • Experience with data modeling datawarehousing and building ETLpipelines.
  • Knowledge of big data technologiessuch as Hadoop Spark or NoSQLdatabases.
  • Handson experience with cloudplatforms such as AWS Azure or GCP.
  • Experiencein creating and maintaining scalable faulttolerant andhighperformance data processingsolutions.
  • Ability to work with stakeholders tounderstand their needs and present solutions in a clear and concisemanner.
  • Strong analytical and problemsolvingskills with great attention todetail.
  • Understanding of data governance bestpractices and data securityprinciples.
  • Excellent communication andteamwork skills to work effectively with crossfunctionalteams.
  • Familiarity with version control systemsand CI/CD pipelines.
  • Experience with agilemethodologies and the software development lifecycle.
  • Ability to learn and apply newtechnologies quickly andindependently.

spark,aws,databases,redshift,etlpipelines,amazon glue,aws transfer family,cloud platforms (aws,azure, gcp),data engineering,version control systems,python,datasecurity,data warehousing,airflow,data governance,agilemethodologies,glue,s3,amazon mwaa (airflow),ci/cd pipelines,awslambda,amazon redshift,sql,hadoop,nosql databases,java,stakeholdermanagement,communication skills,teamwork,datamodeling,scala,software development lifecycle

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