11+ Kerberos Jobs in Hyderabad | Kerberos Job openings in Hyderabad

Skills

Key Responsibilities:

• Design, develop, and implement websites and components within Adobe Experience Manager (AEM).
• Develop and customize AEM components, templates, dialogs, workflows, servlets, and OSGi services.
• Integrate AEM with external systems and third-party services (CRM, DAM, Analytics, etc.).
• Implement responsive front-end solutions using HTML5, CSS3, JavaScript, ReactJS/Angular, and Sightly/HTL.
• Work closely with AEM Architects to ensure technical alignment and best practices.
• Optimize performance of AEM pages and ensure adherence to SEO and accessibility standards.
• Manage AEM environments, deployments, and configurations.
• Provide technical guidance and mentorship to junior developers.
• Collaborate with QA and DevOps teams for CI/CD automation and deployment pipelines.
• Troubleshoot and resolve AEM production issues.

Job Description:

Looking for 3-6 years of experience candidates for the role of software sales executive.

• Prospecting, generating, qualifying, and following up on leads and appointment setting for the external sales team
• Direct email marketing/cold calling to key clients and prospects
• Collaboratively work with the sales, and marketing team to develop lead generation strategies to generate lead opportunities with prospective customers
• Initiates lead/demand generation strategies that include inbound/outbound sales and marketing campaigns and initiatives
• Research, track, maintain, and update leads
• Develop a strong knowledge of the company’s products and services to facilitate the sales process
• Achieving sales lead generation and appointment quota
• Individual Performers are required

Key Responsibilities:

• Inside Sales
• Lead Generation
• Executive Email marketing and Cold calling
• International sales experience preferred
• Relevant IT/ERP sales experience preferred

Location:  Pune/Nagpur,Goa,Hyderabad/Bangalore

Job Requirements:

• 9 years and above of total experience preferably in bigdata space.
• Creating spark applications using Scala to process data.
• Experience in scheduling and troubleshooting/debugging Spark jobs in steps.
• Experience in spark job performance tuning and optimizations.
• Should have experience in processing data using Kafka/Pyhton.
• Individual should have experience and understanding in configuring Kafka topics to optimize the performance.
• Should be proficient in writing SQL queries to process data in Data Warehouse.
• Hands on experience in working with Linux commands to troubleshoot/debug issues and creating shell scripts to automate tasks.
• Experience on AWS services like EMR.

Requirements and Qualifications :
- BS/MS degree in Computer Science, Engineering or a related subject
- 3-5 years of experience with Ruby and the Rails framework
- 3-5 years of experience with Git and Github
- 3-5 years of experience with SQL backends, preferably MongoDB, PostGre SQL
- Familiarity with testing tools such as Rspec
- Knowledge of Docker and docker-based deployment

- Critical thinker and problem-solving skills
- Team player
- Good time-management skills

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build 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.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.