11+ L2TP Jobs in Chennai | L2TP Job openings in Chennai
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Mandatory skills:
- Programming skills in Python, Robot framework, Selenium, Shell scripting
- Experience on L2/L3 protocols of VLAN/DHCP/LACP/IGMP/PPPoE.
- Should be familiar with device configuration protocols of CLI/NETCONF/SNMP.
- Experience in telecom technologies like DSLAM/GPON/G.fast/Next gen broadband technologies is highly recommended
- Knowledge on regression/performance/load/scale/stability test areas
- Hands on experience with Common industry equipment like Spirent test center/ixia/Abacus/Shenick(TeraVM)/N2X Traffic generators.
- Exposure to debug tools such as Wireshark/tcpdump.
Job Requirements:
- Knowledge on software Test cycle, test plan and test case creation
- Understanding of End to end test setup topology and debugging.
- Ability to perform System level Functional and Non-functional tests.
- Familiar with Manual test life cycle
- Designing and writing test automation scripts using automation frameworks
- Exposure to CI/CD pipe line implementation and maintenance using Jenkins, Groovy scripting
- Linux skills (system configuration and administration, containers, networking experience and d) such as sockets and database management
- Good debugging skills and knowledge on various debug tools
- Bug reporting/tracking and providing logs.
- Design and Develop: Architect, design, and implement high-performance Java-based backend services and applications.
- Code Quality: Write clean, efficient, and well-documented code following industry best practices and coding standards.
- Technical Leadership: Provide technical guidance and mentorship to junior developers, promoting best practices and fostering a collaborative environment.
- Collaboration: Work closely with frontend developers, product managers, and other stakeholders to understand requirements and deliver robust solutions.
- Performance Optimization: Identify and resolve performance bottlenecks and scalability issues.
- Testing: Implement comprehensive testing strategies, including unit tests, integration tests, and end-to-end tests.
- Continuous Improvement: Stay current with the latest industry trends, technologies, and best practices in Java/Golang development, and continuously improve our development processes.
Years-6 to 12 years
Location:Chennai
Roles and Responsibities
- 7+ years of experience as software engineer.
- Experience in Dot.Net technologies - Asp.Net MVC, WebAPI, .NetCore
- Experience in ORM like Entity Framework /Dapper
- Experience with Object-Oriented Design and SOLID principles
- Experience with Unit Testing, Mocking and Dependency Injection frameworks
- Experience with SQL Server, NoSQL or other database technology
- Experience with software quality, testing procedures and build automation tools
- Knowledge of the Principles & Patterns of Agile Software
- Ability to understand and troubleshoot existing code and maintain existing systems.
- Ability to identity performance bottlenecks.
- Experience working with version control tools such as GIT and CI/CD tools.
Regards
Sundaravalli
• Server installation, configuration, and maintenance.
• Recommending, upgrading, and maintaining current Linux systems.
• Database administration (MySQL)
• Network configuration, and system security
• Linux mail server.
• Ability to work on weekends and holidays.
Required Skills
• Good English language skills.
• Strong interpersonal communication skills; interacting positively with upper management.
• Independent problem-solving, self-direction.
• Comfortable with most aspects of operating system administration; for example, the configuration of mail systems, system installation, and configuration, printer systems, fundamentals of security, installing third-party software.
• Has a solid understanding of a LINUX-based operating system; understands paging and swapping, inter-process communication, devices and what device drivers do, filesystem concepts (inode, clustering, logical partitions).
• Familiarity with fundamental networking/distributed computing environment concepts; understands routing concepts.
• Ability to write scripts in some administrative language (Shell, Perl, Python).
Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India.
We are looking for experienced data enthusiasts who can make the data talk to them.
You will:
- Understand business problems and translate business requirements into technical requirements.
- Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
- Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
- Gather requirements and communicate findings in the form of a meaningful story with the stakeholders
- Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption.
- Lead and mentor data analysts.
We are looking for someone who has:
- Apart from your love for data and ability to code even while sleeping you would need the following.
- Minimum of 02 years of experience in designing and delivery of data science solutions.
- You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off.
- Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.
- Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
- Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics
Skillset Required:
- Regression
- Classification
- Predictive Modelling
- Prescriptive Modelling
- Python
- R
- Descriptive Modelling
- Time Series
- Clustering
What is in it for you:
- Be a part of building the biggest brand in Data science.
- An opportunity to be a part of a young and energetic team with a strong pedigree.
- Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate.
Please Note:
At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight!
Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination.
All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions.
The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Responsibilities for Data Engineer
• 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.
• 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.
Qualifications for Data Engineer
• Experience building and optimizing big data ETL pipelines, architectures and data sets.
• Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
• 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.
• S/he possesses a wide exposure to complete lifecycle of data starting from creation to consumption
• S/he has in the past built repeatable tools / data-models to solve specific business problems
• S/he should have hand-on experience of having worked on projects (either as a consultant or with in a company) that needed them to
o Provide consultation to senior client personnel o Implement and enhance data warehouses or data lakes.
o Worked with business teams or was a part of the team that implemented process re-engineering driven by data analytics/insights
• Should have deep appreciation of how data can be used in decision-making
• Should have perspective on newer ways of solving business problems. E.g. external data, innovative techniques, newer technology
• S/he must have a solution-creation mindset.
Ability to design and enhance scalable data platforms to address the business need
• Working experience on data engineering tool for one or more cloud platforms -Snowflake, AWS/Azure/GCP
• Engage with technology teams from Tredence and Clients to create last mile connectivity of the solutions
o Should have experience of working with technology teams
• Demonstrated ability in thought leadership – Articles/White Papers/Interviews
Mandatory Skills Program Management, Data Warehouse, Data Lake, Analytics, Cloud Platform
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Requirements :
1. Proven 2+ years experience in android development
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- Designing user interactions on web pages.
- Developing back end website applications.
- Creating servers and databases for functionality.
- Ensuring cross-platform optimization for mobile phones.
- Ensuring responsiveness of applications.
- Working alongside graphic designers for web design features.
- Seeing through a project from conception to finished product.
- Designing and developing APIs.
- Meeting both technical and consumer needs.
- Staying abreast of developments in web applications and programming languages.
Good understating or hand's on in Kafka Admin / Apache Kafka Streaming.
Implementing, managing, and administering the overall hadoop infrastructure.
Takes care of the day-to-day running of Hadoop clusters
A hadoop administrator will have to work closely with the database team, network team, BI team, and application teams to make sure that all the big data applications are highly available and performing as expected.
If working with open source Apache Distribution, then hadoop admins have to manually setup all the configurations- Core-Site, HDFS-Site, YARN-Site and Map Red-Site. However, when working with popular hadoop distribution like Hortonworks, Cloudera or MapR the configuration files are setup on startup and the hadoop admin need not configure them manually.
Hadoop admin is responsible for capacity planning and estimating the requirements for lowering or increasing the capacity of the hadoop cluster.
Hadoop admin is also responsible for deciding the size of the hadoop cluster based on the data to be stored in HDFS.
Ensure that the hadoop cluster is up and running all the time.
Monitoring the cluster connectivity and performance.
Manage and review Hadoop log files.
Backup and recovery tasks
Resource and security management
Troubleshooting application errors and ensuring that they do not occur again.


