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EY
EY
Sponsor pentru viza H1BAsistență medicalăJuridicMarketing

EY este o firmă globală de servicii profesionale care oferă expertiză în audit, fiscalitate, consultanță și servicii de consiliere. Echipele sale ajută organizațiile să abordeze provocări complexe de afaceri, să consolideze încrederea în raportarea financiară și în piețe și să utilizeze datele și tehnologia pentru a susține transformarea.

Firma oferă servicii precum consultanță în finanțarea corporativă, strategie pentru tranzacții și consultanță tehnologică. EY colaborează cu clienți din domenii precum sănătatea, serviciile juridice, marketingul, energia, finanțele și administrația publică, sustenabilitatea și inovația contribuind la multe dintre soluțiile sale.

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Locurile de muncă ale companiei

Senior Data Engineer – AI & Data | EY Chennai

EY is hiring a Senior Data Engineer in Chennai to build scalable AWS and Databricks solutions for consulting clients. The role focuses on data pipelines, CI/CD delivery, and enterprise analytics infrastructure.

INIndiaLa sediuNormă întreagăSeniorLimbă Obligatorie: englezăInginer de date
AirflowApacheAWSCloudEC2ETLHadoopJavaJenkinsPySparkPythonScalaSparkSQLSubversion

Descriere

  • Own CI/CD pipeline design and management across the data-solution development and deployment lifecycle
  • Map and integrate data across varied source and target systems
  • Build and optimize Data & AI solutions, including engineering pipelines and data models
  • Write production-grade Python, PySpark, and SQL code
  • Deliver enterprise-scale production deployments using DevOps practices
  • Contribute to Agile delivery through sprint planning, reviews, and continuous improvement
  • Apply Data Governance and Data Quality standards to support integrity and compliance

Cerințe

  • 5–8 years of relevant experience with Data & AI solutions, engineering pipelines, data modeling, and performance tuning
  • Extensive experience developing data-ingestion frameworks and scalable pipelines
  • Advanced experience with AWS services, including S3, EC2, Glue, Lambda, and Secrets Manager
  • Practical experience working with Databricks
  • Proficiency with DBT (Data Build Tool)
  • Experience using Apache Airflow for workflow orchestration
  • Strong programming ability in Python, PySpark, Spark, and Scala
  • Experience with Git, Jenkins, and Apache Subversion
  • At least 3 years of experience in very large data-warehousing environments
  • At least 3 years of experience with data-warehouse architecture, ETL/ELT processes, and reporting or analytics tools
  • Experience developing in Python and/or Java within data-engineering environments
  • Familiarity with EMR, Hadoop, Databricks, Hive, and PySpark
  • Strong understanding of Data Governance and Data Quality standards
  • Ability to develop efficient Spark jobs and tune performance in large-scale environments
  • Advanced SQL and data-querying expertise
  • Strong written and verbal communication skills
  • AWS, Databricks, or equivalent professional technical certifications are highly desirable
  • Familiarity with cloud and enterprise integration technologies

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