Posted:2 days ago|
Platform:
On-site
Full Time
Become a quick learner and be more proactive in understanding the wider Business requirements and linking to the various other concepts in the Domain.
Help implement better solutions independently and faster with better ownership.
Help automating manual operational tasks and focus on creating reusable assets and propel innovation.
Work very closely with team members and able to have healthy relationship
Be innovative and able to come up with ideas and reusable components & frameworks
Should be ready to Support 24x7 as per the Rota
Should be based in Bangalore or is in the process of moving, should be ready to come to Tesco office when asked for.
Should have worked on building large scale distributed systems
Should have lead a team in tech lead/module lead role
Should have good mentorship experience
Should have good communication and very good documentation skills
Should show maturity & understand the requirement and convert to high quality technical requirements
Should Code and Design end to end data flow and deliver on time
Be resilient & flexible to work across multiple teams and internal teams
Should help to Implement best practices in Data Architecture and Enterprise Software Development.
Should have extensive experience in working in Agile Data Engineering Teams Work very closely with Engineering Manager, TPM, Product Manager and Stake Holders.
Basic concepts of Data Engineering, Ingestion from diverse sources and file formats, Hadoop, Data Warehousing, Designing & Implementing large scale Distributed Data platforms & Data Lakes
Building distributed platforms or services
SQL, Spark, Query Tuning & Performance Optimization
General advanced Scala or Java experience (e.g Functional Programming, using Case classes, Complex Data Structures & Algorithms)
Experience on SOLID & Dry principles and Good Software Architecture & Design Experience
Languages: Python, Java, Scala
Good experience in Big Data Unit, System, Integration & Regression Testing
Devops experience in Jenkins, Maven ,Github, Artifactory/Jfrog, CI/CD
Big Data Processing: Hadoop, Sqoop, Spark and Spark Streaming
Hadoop Distributions: Cloudea / Hortonworks experience
Data Streaming: Experience on Kafka and Spark Streaming
Data Validation & Data Quality
Data Lake & Medallion Architecture
Shell Scripting & Automation using Ansible or related Configuration management tools
Agile processes & tools like Jira & Confluence
Code Management tools like Git
File formats like ORC, Avro, Parquet, Json & CSV
Big Data Orchastration: Nifi, Airflow, Spark on Kubernetes, Yarn, Oozie, Azkaban
Tesco
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