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Experience: 6 - 9 Years
Good to have :
Development tools (Git/Stash, Jenkins, Maven, Artifactory and UDeploy)
Experienced in Agile SCRUM practices
SQL proficiency (Oracle experience preferred), ORM Tools (iBatis, Hibernate)
Unix Shell and Python scripting basics
Job Scheduling Technologies (Autosys / Airflow)
Must to Have :
Knowledge on ETL framework
knowledge on AWS cloud services and technologies
app deployments in Containers (Docker, EKS)
Troubleshoot build and deploy failures, and facilitate resolution
Role: Data Engineer
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate
PG: Any Postgraduate
Photon, a global leader in AI and digital solutions, helps clients accelerate AI adoption and embrace Digital Hyper-expansion® to ‘make tomorrow happen today’. We work with 40% of the Fortune 100, enabling them to stay agile and future-ready in an era of converging digital and AI boundaries. Powering billions of touch points a day, Photon combines AI management, digital innovation, product design thinking, and engineering excellence to drive lasting transformation for F500 clients. We employ several thousand people across dozens of countries.
Job ID: 110231461
Skills:
Shell scripting, Python
Skills:
Git, Docker, Terraform, PostgreSQL, Jira, Kubernetes, Linux Administration, Python, Airflow, FinOps best practices
Skills:
Hadoop, Pyspark, Scala, Apache Spark, AWS Glue, Dynamodb, Kafka, HBase, Sql, DataBricks, Hive, Aws Redshift, Python, AWS EMR, AWS Cloud Data Platform, NoSQL databases, Spark Framework
Skills:
Aws Lambda, Git, Kubernetes, Python, Api Gateway, LangChain, AWS Bedrock, Pinecone, FAISS, RAG pipelines, Weaviate, Agent Core
Skills:
S3, Tableau, Data Modeling, Json, Lambda, Confluence, Sns, Python, AWS, Csv, Cloudformation, Scala, SQL Server, Dynamodb, SSIS, Redshift, Sql, Spark, Xml, Databricks, Microsoft Excel, Etl, Amazon QuickSight, ELT processes, ArangoDB, R, CodePipeline, Data pipelines, Miro, Parquet, Data exploration, Glue, Athena
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