sales executive

·        Responsible for handling IT requirements from US based clients.

·        Responsible for full-cycle recruiting: interview, offer, negotiation and closed candidates for assigned requisitions.

·        Sourcing from Job Portals (Monster, Dice, Career builder), making job postings on the Job Portal.

·        Well versed about US Terms like W2, C2C, 1099, US Visas, etc.

·        Responsible to work on C2H (Contract to Hire) positions.

·        Responsible for coordinating the fulfilment of other formalities such as background check, drug test etc. leading to joining post placement.

·        Responsible for achieving a good conversion ratio of submittals into interview and placement.

·        Responsible for Strategy Development process which includes understanding client requirements & mapping the relevant targets.

·        Must be having capability to work with a team or individually.

·        Maintain close contact with candidates/Vendors/ recruiters/offshore team.

·        Publish progress report to management every week.

·        Updated about technologies of the Client requirements and knowledge of current IT trends.

Shift Timing: US Shift Timing

Job Role: Sr. Data Engineer

Location: Navrangpura, Ahmedabad

WORK FROM OFFICE - 5 DAYS A WEEK (UK Shift)

Job Description: 

• 5+ years of core experience in python & Data Engineering.

• Must have experience with Azure Data factory and Databricks.

• Exposed to python-oriented Algorithm’s libraries such as NumPy, pandas, beautiful soup, Selenium, pdfplumber, Requests etc.

• Proficient in SQL programming.

• Knowledge on DevOps like CI/CD, Jenkins, Git.

• Experience working with Azure Databricks.

• Able to co-ordinate with Teams across multiple locations and time zones

• Strong interpersonal and communication skills with an ability to lead a team and keep them motivated.

Mandatory Skills : Data Engineer - Azure Data factory, Databricks, Python, SQL/MySQL/PostgreSQ

Company Description

Gencosys Technologies Pvt. Ltd. is a leading Information Technology company with a strong presence and customer base in South Asia, Middle East and Africa, Asia Pacific, Kingdom of Saudi Arabia, and North America. We provide comprehensive IT support and solutions to businesses in various industries.

Role Description

This is a full-time on-site role for a Search Engine Optimization Specialist at our Lucknow location. The Specialist will be responsible for conducting keyword research, performing SEO audits, building links, analyzing web analytics, and implementing on-page SEO techniques to improve website rankings and visibility.

Qualifications

• Keyword Research and SEO Audits
• Link Building and Web Analytics
• On-Page SEO
• Experience in optimizing websites for search engines
• Understanding of SEO best practices and industry trends
• Proficiency in web analytics tools and SEO software
• Familiarity with HTML, CSS, and JavaScript
• Excellent analytical and problem-solving skills
• Strong communication and collaboration abilities
• Bachelor's degree in Marketing, Computer Science, or related field

Your key responsibilities

• Create and maintain optimal data pipeline architecture. Should have experience in building batch/real-time ETL Data Pipelines. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• The individual will be responsible for solution design, integration, data sourcing, transformation, database design and implementation of complex data warehousing solutions.
• Responsible for development, support, maintenance, and implementation of a complex project module
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support.
• complete reporting solutions.
• Preparation of HLD about architecture of the application and high level design.
• Preparation of LLD about job design, job description and in detail information of the jobs.
• Preparation of Unit Test cases and execution of the same.
• Provide technical guidance and mentoring to application development teams throughout all the phases of the software development life cycle

Skills and attributes for success

• Strong experience in SQL. Proficient in writing performant SQL working with large data volumes. Proficiency in writing and debugging complex SQLs.
• Strong experience in database system Microsoft Azure. Experienced in Azure Data Factory.
• Strong in Data Warehousing concepts. Experience with large-scale data warehousing architecture and data modelling.

• Should have enough experience to work on Power Shell Scripting

• Able to guide the team through the development, testing and implementation stages and review the completed work effectively
• Able to make quick decisions and solve technical problems to provide an efficient environment for project implementation
• Primary owner of delivery, timelines. Review code was written by other engineers.
• Maintain highest levels of development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code, with repeatable quality and predictability
• Must have understanding of business intelligence development in the IT industry
• Outstanding written and verbal communication skills
• Should be adept in SDLC process - requirement analysis, time estimation, design, development, testing and maintenance
• Hands-on experience in installing, configuring, operating, and monitoring CI/CD pipeline tools
• Should be able to orchestrate and automate pipeline
• Good to have : Knowledge of distributed systems such as Hadoop, Hive, Spark

To qualify for the role, you must have

• Bachelor's Degree in Computer Science, Economics, Engineering, IT, Mathematics, or related field preferred
• More than 6 years of experience in ETL development projects
• Proven experience in delivering effective technical ETL strategies
• Microsoft Azure project experience
• Technologies: ETL- ADF, SQL, Azure components (must-have), Python (nice to have)

Ideally, you’ll also have

• 3+ years of experience with LAMP stack: Linux, Apache, MySQL, PHP
• 3+ years of experience with web APIs: REST
• AWS Experience would be great to have.
• Java/Python experience will be a Plus.
• Good Communication Skills.

Requirements :

• Minimum 5 years of experience working on Python Environment
• Knowledge of software development methodologies and being able to work on projects individually or as part of a team. should be able to work with AGILE methodology.
• Knowledge of relational databases, version control tools and other development tools.
• Strong interest in learning new skills/technologies and curiosity to explore various technologies
• Should have strong analytical skills
• Good communication.

Must Required Skills:

• Python 3
• should have worked on one or more major Python web frameworks.
• Working knowledge in selenium.
• Worked with APIs development, integration of third-party APIs
• Working knowledge of MySQL databases integration with Python Environment.

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.