General Manager - Corporate & Channel Sales

• Job Description:

MySQL Database Administrator (DBA) who will be responsible for ensuring the

Performance, Database Tuning, Database Cleanup, Database Migration, Database Availability, and Security of Clusters of MySQL

Instances. The candidate will also be responsible for Orchestrating Upgrades,

Backups, and Provisioning of Database Instances. The candidate will also work in

tandem with the other teams, documentation, and specifications as required.

.

• Key Responsibilities:

✓ Provision MySQL instances, both in Clustered and Non-Clustered Configurations

✓ Ensuring the Performance, Database Tuning, Database Availability, and Security

of Clusters of MySQL Instances

✓ Development of Database Schema

✓ Development of ERD

✓ Find the Root Cause of Database related issues & Database Clean-up

✓ Migrating Data from Customer Database to Serosoft Product Database

✓ Prepare Documentation and Specifications

✓ Handle common database procedures, such as upgrade, backup, recovery,

migration, etc.

✓ Profile server resource usage, optimize and tweak as necessary

✓ Collaborate with other team members and stakeholders

• Skills and Qualifications:

✓ Strong proficiency in MySQL database management

✓ Decent experience with recent versions of MySQL

✓ Understanding of MySQL’s underlying storage engines, such as InnoDB and

MyISAM

✓ Experience with replication configuration in MySQL

✓ Proficient in Database Clean-up and Migrations

✓ Knowledge of De-Facto Standards and Best Practices in MySQL

✓ Proficient in Writing and Optimizing SQL statements

✓ Proficient in Table Scan, Row Scan, Query Execution Plan, SQL Profiler, etc.

✓ Should be able to decide when to create Views (Standard Views, Indexed views,

and Partitioned views)

✓ Knowledge of MySQL features, such as its Event Scheduler

✓ Ability to plan Resource requirements from High-Level Specifications

✓ Familiarity with other SQL/NoSQL databases such as PostgreSQL, MongoDB, etc.

✓ Knowledge of limitations in MySQL and their workarounds in contrast to other

popular relational databases

✓ Proficient understanding of code versioning tools such as SVN / Git

✓ DBA Certification would be added advantage

We are seeking an experienced Chief Technology Officer with a passion for esports to join our team. The ideal candidate will have a strong track record of leading and managing technical teams and a proven ability to drive technology strategy and innovation. Experience in the esports industry is a plus. 

Responsibilities: 

• Lead the development and execution of our technology roadmap, aligning with business goals and objectives 
• Oversee the design, development, and maintenance of our technology infrastructure and systems 
• Manage and mentor the technology team, including setting goals and providing direction and support 
• Collaborate with other departments to identify and prioritize technical needs and opportunities 
• Monitor and analyze industry and market trends, and assess their potential impact on the company 
• Communicate technical plans and progress to senior management and stakeholders 

Requirements: 

• Strong professional experience as a CTO or similar leadership role 
• Proven ability to lead and manage technical teams 
• Strong understanding of software development and delivery processes 
• Experience with driving technology strategy and innovation 
• Excellent communication and collaboration skills 

Preferred: 

• Experience in the esports industry 
• Experience with cloud technologies such as AWS or Azure 
• Experience with agile development methodologies 
• Familiarity with a variety of programming languages and technologies 
• Experience with budget and resource management 

Desired Candidate Profile

• Experience in selling IT or SaaS solutions
• Strong understanding of the sales funnel
• Comfort working with numbers
• Ability to analyze, calculate and reason a situation effectively
• A sharp eye for detail
• Superior presentation skills
• Ability ot speak and write clearly and correctly
• Ability to manage a large number of prospect situations simultaneously
• Ability to position company products against direct and indirect competitors
• Willingness to travel
• Experience with LMS, B2B, SaaS, IT, cloud, enterprise software, e-learning companies preferred    

Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)

Salary: Competitive as per Industry Standard

We are expanding our Data Engineering Team and hiring passionate professionals with extensive

knowledge and experience in building and managing large enterprise data and analytics platforms. We

are looking for creative individuals with strong programming skills, who can understand complex

business and architectural problems and develop solutions. The individual will work closely with the rest

of our data engineering and data science team in implementing and managing Scalable Smart Data

Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale

Processing Clusters, Data Mining and Search Engines.

What You’ll Need:

• 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal

Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied

data types.

• Proficiency in Python, Linux and shell scripting.
• Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
  ● Strong experience in developing the infrastructure required for data ingestion, optimal

extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory,  Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).

• Working knowledge of github or other version control tools.
• Experience with creating Restful web services and API platforms.
• Work with data science and infrastructure team members to implement practical machine

learning solutions and pipelines in production.

• Experience with cloud providers like Azure/AWS/GCP.
• Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
• Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
• Strong analytic skills related to working with unstructured datasets.

Good to have (to filter or prioritize candidates)

• Experience with testing libraries such as pytest for writing unit-tests for the developed code.
• Knowledge of Machine Learning algorithms and libraries would be good to have,

implementation experience would be an added advantage.

• Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
• Knowledge of Azure functions , Elastic search etc will be good to have.

• Having experience with model versioning (mlflow) and data versioning will be beneficial
• Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.

Summary
Our Kafka developer has a combination of technical skills, communication skills and business knowledge. The developer should be able to work on multiple medium to large projects. The successful candidate will have excellent technical skills of Apache/Confluent Kafka, Enterprise Data WareHouse preferable GCP BigQuery or any equivalent Cloud EDW and also will be able to take oral and written business requirements and develop efficient code to meet set deliverables.

Must Have Skills

• Participate in the development, enhancement and maintenance of data applications both as an individual contributor and as a lead.
• Leading in the identification, isolation, resolution and communication of problems within the production environment.
• Leading developer and applying technical skills Apache/Confluent Kafka (Preferred) AWS Kinesis (Optional), Cloud Enterprise Data Warehouse Google BigQuery (Preferred) or AWS RedShift or SnowFlakes (Optional)
• Design recommending best approach suited for data movement from different sources to Cloud EDW using Apache/Confluent Kafka
• Performs independent functional and technical analysis for major projects supporting several corporate initiatives.
• Communicate and Work with IT partners and user community with various levels from Sr Management to detailed developer to business SME for project definition .
• Works on multiple platforms and multiple projects concurrently.
• Performs code and unit testing for complex scope modules, and projects
• Provide expertise and hands on experience working on Kafka connect using schema registry in a very high volume environment (~900 Million messages)

• Provide expertise in Kafka brokers, zookeepers, KSQL, KStream and Kafka Control center.
• Provide expertise and hands on experience working on AvroConverters, JsonConverters, and StringConverters.
• Provide expertise and hands on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector,  JMS source connectors, Tasks, Workers, converters, Transforms.
• Provide expertise and hands on experience on custom connectors using the Kafka core concepts and API.
• Working knowledge on Kafka Rest proxy.
• Ensure optimum performance, high availability and stability of solutions.
• Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices.
• Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms.  Leverage Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka and other things in the Hadoop ecosystem. 
• Use automation tools like provisioning using Jenkins, Udeploy or relevant technologies
• Ability to perform data related benchmarking, performance analysis and tuning.
• Strong skills in In-memory applications, Database Design, Data Integration.

Project Delivery, Project Management, Resource allocation, Project Planning, Project Mentioning, Team Management, Vendor Management, Risk Management, Project oversight / coordination / management