Data Scientist

Duties and responsibilities

 Perform technical analysis in US markets such as the NYSE, NASDAQ & Amex

 Analyze securities performance and Pricing of companies listed on US market.

 Developing forecast and projections.

 Monitoring Industries Trends and Market news.

 Prepare technical reports based on the company's fundamentals and previous performances.

 After successful completion of the training period, a Learner would be a full-fledged US stock market analyst/trader who would be able to make wise and informed stock positions.

 This profile DOES NOT entail selling/marketing of any financial products or services/ calling clients.

Work Timings and Location

 06.00 PM to 03.00 AM

 Monday to Friday

 ITPP – International Tech Park, Kharadi, Pune.

Qualifications

 Strong mathematical and statistical aptitude skills

 BCOM/BBA/MBA/PGDM-Finance /NCFM, CFAs/CMTs and any graduate/post-graduate who has passion/skill for trading.

 The candidate must be in the age group of 20-24 years

• Design and develop a comprehensive website using Next.js, integrating both client-side and server-side architecture.
• Build reusable code and libraries for future use, ensuring the technical feasibility of UI/UX designs.
• Optimize applications for maximum speed and scalability across a vast array of web-capable devices and browsers.
• Collaborate with team members, including designers and project managers, to translate business and user requirements into technical solutions.
• Implement robust security and data protection measures.
• Stay up-to-date with emerging technologies and industry trends to incorporate into operations and practices.
• Conduct testing to identify bugs and technical issues before and after deploying.
• Document development processes, code changes, and other technical information for reference and reporting.

Company Description

KogniVera is an India-based technology consulting and services company that specializes in conceptualization, design, engineering, and management of digital products. The company brings rich experience and expertise to address the growth needs of enterprises in dynamic industries such as Retail, Financial Services, Insurance, and Healthcare. KogniVera has an unwavering obsession with customer success and a partnership mindset dedicated to achieving unparalleled success in the digital landscape.

Role Description

This is a full-time on-site Java Spring Boot Lead role located in Bangalore. The Java Spring Boot Lead will also collaborate with cross-functional teams and stakeholders to identify, design, and implement new features and functionality.

Fulltime role

Location: Bengaluru-Onsite, India fulltime, Onsite.

Skills Set Required: 5+ years of experience.

Very Strong at core java.

Having sound knowledge in spring boot.

Hands on experience in creating framework.

Cloud knowledge.

Good understanding of Design patterns.

Must have worked on at least 2-3 project.

Please share your updated resume and the details.

mgarg@#kognivera.com

Website : https://kognivera.com

Senior Data Engineer

Responsibilities:

●      Clean, prepare and optimize data at scale for ingestion and consumption by machine learning models

●      Drive the implementation of new data management projects and re-structure of the current data architecture

●      Implement complex automated workflows and routines using workflow scheduling tools 

●      Build continuous integration, test-driven development and production deployment frameworks

●      Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards 

●      Anticipate, identify and solve issues concerning data management to improve data quality

●      Design and build reusable components, frameworks and libraries at scale to support machine learning products 

●      Design and implement product features in collaboration with business and Technology stakeholders 

●      Analyze and profile data for the purpose of designing scalable solutions 

●      Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues

●      Mentor and develop other data engineers in adopting best practices 

●      Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

Qualifications:

●      8+ years of experience developing scalable Big Data applications or solutions on distributed platforms

●      Experience in Google Cloud Platform (GCP) and good to have other cloud platform tools

●      Experience working with Data warehousing tools, including DynamoDB, SQL, and Snowflake

●      Experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.

●      Experience with Spark (Scala/Python/Java) and Kafka

●      Work experience with using Databricks (Data Engineering and Delta Lake components) 

●      Experience working with Big Data platforms, including Dataproc, Data Bricks etc

●      Experience working with distributed technology tools including Spark, Presto, Databricks, Airflow

●      Working knowledge of Data warehousing, Data modeling

●      Experience working in Agile and Scrum development process

●      Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area

Role:

Senior Data Engineer

Total No. of Years:

8+ years of relevant experience 

To be onboarded by:

Immediate

Notice Period:

Skills

Mandatory / Desirable

Min years (Project Exp)

Max years (Project Exp)

GCP Exposure 

Mandatory Min 3 to 7

BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark

Mandatory Min 5 to 9

Relational SQL

Mandatory Min 4 to 8

Shell scripting language 

Mandatory Min 4 to 8

Python /scala language 

Mandatory Min 4 to 8

Airflow/Kubeflow workflow scheduling tool 

Mandatory Min 3 to 7

Kubernetes

Desirable 1 to 6

Scala

Mandatory Min 2 to 6

Databricks

Desirable Min 1 to 6

Google Cloud Functions

Mandatory Min 2 to 6

GitHub source control tool 

Mandatory Min 4 to 8

Machine Learning

Desirable 1 to 6

Deep Learning

Desirable Min 1to 6

Data structures and algorithms

Mandatory Min 4 to 8

Ensures the Daily/Weekly/Monthly reporting are sent timely

Ensure Accuracy of data reported

Updates and analyzes monthly billing hours reports

Prepares daily status report to keep a check on internal targets

Review the collated data to drive inferences and trends to improve process performance.

Analyzes productivity and inquires into the causes of slippages.
Attends weekly review meetings with clients on various reports.

Customizes reports as required by clients.

Audits all MI prepared by the Executives

Ability to make things with in the TAT and SLA

Ensure data protection for all MI

Ensure controlled access levels for all stakeholders accessing the MI Folder

Hand of experience in advance Excel

We are looking for skilled iOS developers who are passionate about solving digital payment problems for over a billion Indians.

Requirements:

• At least 4 years of experience in developing, releasing, and maintaining iOS mobile applications.
• Ability to write efficient, reusable, and maintainable code in Swift.
• Excellent expertise in iOS SDK frameworks and fundamentals.
• Amazing debugging skills with the ability to write unit test cases Strong computer science fundamentals.
• Startup friendly i.e self-starter, quick learner, hard-working, and passionate.