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Technical Lead Graduate Experience Jobs in Noida

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Technical Lead

Aspire Ladders

  • 6 - 10 yrs
  • 25.0 Lac/Yr
  • Noida
ASP.NET Design Patterns Codding Standards Functional Requirement Code Review Google Cloud Forms Unit Testing Framwork Technical Leadership Continuous Improvement NodeJS MySQL Git Docker Kubernetes Walk in
Our mission is always to be student-first. We are seeking a person to join our tech team to prepare technical designs and interfacespecifications based on the business requirements provided by architects and business analysts. The primary responsibilityincludes simplifying complex business problems. The Tech Lead will also effectively manage differently-skilled junior developersand drive them towards achieving a common objective. You'll work closely with a diverse group of people coming from bothleading MNCs such as McKinsey, BCG, KPMG, Deloitte, EY, and startups such as Byju's, Paytm etc. to establish, nurture, and growbusiness across categories & territories. This is an amazing opportunity to learn from an extraordinary team, grow massively andhelp students around the globe build an awesome career for themselves.What will you do: Convert architecture into comprehensive designs to meet functional and non-functional requirements Lead and mentor junior developers Work on critical implementation assignments while providing technical leadership to the teamAdopt and enforce coding standards, conduct regular code reviews and make sure the team members are educated onthe coding standards Recognize application deficiencies and implement effective solutions promptly Assume responsibility for the quality of the deliverables and effectively manage project releases Collaborate with quality assurance teams Assist architects, project managers, and business analysts in managing client relationships and stakeholders successfully Implement automated continuous delivery and deploymentEXPERTISE AND QUALIFICATIONSWhat will you need: Bachelor's degree in Computer Science with 6-10 years of experience. Team Handling experience is must. Experience working with NodeJS based frameworks like Express JS Thorough understanding of React.js and its core principles Should be well versed with design first approach and design patterns
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  • 5 - 9 yrs
  • 20.0 Lac/Yr
  • Noida
Lead Automation Technical Lead C#.Net Javascript System Software Performance Testing Security Testing DevOps Jenkins Azure
Lead AutomationThank you
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Python SCALA JAVA AWS - EMR Hadoop Spark Kafka SQL NoSQL Data Architecture Data Structures Storm Flink
ResponsibilitiesCreate and maintain optimal data pipeline architectureAssemble large, complex data sets that meet functional / non-functional business requirements.Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Open Source and AWS big data technologiesBuild analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Work with data and analytics experts to strive for greater functionality in our data systems.QualificationsExperience building and optimizing big data pipelines, architectures and datasets.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Experience interacting with customers and various stakeholders.Strong analytical skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management.Working knowledge of message queuing, stream processing, and highly scalable big data lakes.Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.They should also have experience using the following software/tools:Big data technologies: Hadoop, Spark, Kafka, etc.Relational SQL and NoSQL databases, including Postgres and Cassandra.Data pipeline and workflow management tools: Airflow, NiFi etc.Cloud services: AWS - EMR, RDS, Redshift, Glue. Azure - Databricks, Data Factory. GCP - Dataproc, Pub/SubStream-processing systems: Storm, Spark Streaming, Flink etc.
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