JavaStrong Data Architect, Lead Data Engineer, Engineering Manager / Director Profile
Mandatory (Experience 1) - Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
Mandatory (Experience 2) - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
Mandatory (Experience 3) - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company
Mandatory (Experience 4) - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
Mandatory (Experience 5) - Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV)
Mandatory (Education) - Must be from Tier - 1 Colleges, preferred IIT
Mandatory (Company) - B2B Product Companies with High data-traffic
Preferred Companies
MoEngage, Whatfix, Netcore Cloud, Clevertap, Hevo Data, Snowflake, Chargebee, Fractor.ai, Databricks, Dataweave, Wingman, Postman, Zoho, HighRadius, Freshworks, Mindtickle
Shubham Vishwakarma
Full Stack Developer - Averlon
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Curious? Dive into our Notion to learn more before applying :
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Data Science
Machine Learning (ML)Project titled: “Machine Learning Models to Predict MIC in Indian Priority Pathogens & Identification of Novel Antimicrobial Resistance Mechanisms”
Project Code: GAP-0242
Position: Project Research Scientist-II (Non-Medical) =01 Essential
Qualification: 1. Post Graduate Degree, including the integrated PG degrees, with three years post qualification Experience or Ph.D. 2. For Engineering/ IT/ CS - Graduate degree of Four years with three years’ post qualification experience.
Desirable: Experience in Machine learning and AI methods, previous experience in next generation sequence data analysis is expected. Hands-on experience in wet-lab (basic microbiology/molecular biology) is beneficial not mandatory.
Upper Age limit (years) - 40
Monthly Emoluments: Rs. 67,000/- +HRA, as admissible.
HTML/CSS
Javascript
Angular (2+)
AngularJS (1.x)- 8 - 12 years of professional experience in .Net Framework 2.0/3.5/4.0/4.5 (C#, ASP.Net) and ADO.Net. Strong knowledge of software development, debugging and deployment tools Knowledge and experience of SQL Server (Any version).
- Knowledge of Versioning tools. Strong experience working with HTML, CSS, JavaScript, and jQuery.
- Should have Good Problem Solving and Analytical Skills Ability to work independently and as part of a team Ability to handle individual projects as well as team.
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NodeJS (Node.js)
React.jsAngular (2+)Good to have would be AWS Architect Certification.
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- NodeJS / TypeScript experience 3+ years
- AWS experience 3+ years using AWS SDK
- Lamba
- API Gateway
- Event based architecture like Kinesis, MSK (Kafka)
- Database Sql / NoSql
Considered a plus:
- Frontend development React / Angular
- AWS IoT Core, Kafka, Kinesis
- Elastic Search
Should have experience in Device Provisioning / Device management with PKI (Public Key Infrastructure)
Machine Learning (ML)Data ScienceWe’re building the future of private financial markets
Traditionally a space only for the wealthy and well-connected, we believe in a future where private markets are more accessible to investors and fundraisers. By leveling the playing field we hope to create a more equitable economy, where inspiring companies are connected to inspired investors, whoever and wherever they are.
Leveraging our trusted brand, global networks and incredible team, we’re building a technology-enabled ecosystem that is as diverse and dynamic as our investor network. As we progress on this ambitious journey, we’re looking for energetic and creative people to support and leave their mark on our platform.
Before Applying
- We have big plans to disrupt the traditional fundraising process for private businesses
- You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing, monitoring, and improving products to facilitate the activity of private investing
- Everything we do is focused on helping build the private capital markets for the next generation of business owners and investors
- We work really hard but play really hard as well
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- We are looking for passionate Data Scientists with strong problem-solving skills and prior experience in building machine learning models. You should possess the ability to thrive in a fast-paced environment. As a Data Scientist, working with passionate data-driven enthusiasts, you will lead the deployment of decision sciences with advanced analytics as well as machine learning and AI capabilities to support various lines of businesses. You will also help to enable a data driven culture within the organization.
Roles and responsibilities
- Work with other Data Scientists, Data Engineers, Data Analysts, Software engineers to build and manage data products
- Work on cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Develop an enterprise data science strategy to achieve scale, synergies, and sustainability of model deployment
- Undertake rigorous analyses of business problems on structured and unstructured data with advanced quantitative techniques.
- Apply your expertise in data science, statistical analysis, data mining and the visualisation of data to derive insights that value-add to business decision making (e.g. hypothesis testing, development of MVPs, prototyping etc).
- Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization and communication deliverable.
You’ll be a great fit for us if you
- Bachelor or Master’s in Computer Science, Statistics, Mathematics, Economics, or any other related fields
- At least 3 to 5 years of hands-on experience in a Data Science role with exposure and proficiency in quantitative and statistical analysis, predictive analytics,multi-variate testing and algorithm-optimization for machine learning
- Deep expertise in a range of ML concepts, frameworks and techniques such as logistic regression, clustering, dimensional reduction, recommendation systems,neural nets etc.
- Strong understanding of data infrastructure technologies (e.g. Spark, TensorFlow etc).
- Familiarity with data engineering methodologies, including SQL, ETL and experience in manipulating data sets with structured and unstructured data using Hadoop, AWS or other big data platforms.
- Highly proficient in data visualization and the use of dash boarding tools (e.g.Tableau, Matplotlib, plot.ly etc).
- Proven track record in delivering bespoke data science solutions in a cross-functional setting.
- Experience in managing a small team is preferred.
Bonus attributes
- Interested in dealing with data, including finding, and exploring more efficient ways/programs (e.g. machine learning) to collect, store, and analyse data
- Preferably have some understanding of terms in financial statements and financial ratios
- Strong problem-solving skills – able to find various ways to solve problems and decide which solution to move forward
- Ability to work under pressure and tight timings
- Team oriented, but highly independent for their own projects
- High level of organisational skills and ability to prioritize
Javascript
React Native- Firm grasp of the JavaScript / Typescript language and its nuances,
- including ES6+ syntax
- Knowledge of Object oriented programming
- Ability to write well-documented, clean Javascript code
- Rock solid at working with third-party dependencies and debugging dependency conflicts
- Understanding of REST APIs, the document request model, and offline storage
- Essential Skills and Experience
- Experience in designing and implementing verification environments for complex RTL designs
- Well-versed in the use of hardware verification languages e.g. SystemVerilog or Specman e
- Verification methodologies such as UVM
- Understanding of end-to-end verification processes, from test plan creation through to verification closure
- Ability to quickly understand and apply complex specification detail
- Understanding of the fundamentals of computer architecture, with an emphasis on pipelining, exception handling, memory systems
- Practical experience of working on microprocessor designs
- In-depth understanding of memory protection, memory translation, vector processing in CPUs, exception and interrupt handling.
- Understanding of constrained random stimulus, the goals and general usefulness of different types of coverage in hardware, as well as checking methodologies and behavioral functional models.
- Knowledge of assembly language (preferably Arm), and/or C/C++
- In-depth technical reviewing of others work
- Developing content for blogs, articles, app descriptions, social media, and the company website.
- Write in “American English” as the audience is a US consumer audience
- Identifying customers’ needs and recommending new content to address gaps in the current content.
- Build and manage our social media profiles and presence across channels you deem relevant
- Curate and create interesting, relevant, and trending content people look forward to every day
- Monitor and engage in relevant social discussions about our company, competitors, and/or industry, both from existing leads and customers as well as from brand new audiences.
- Ideate and execute world-class social promotions and campaigns and track their success
- Work alongside other marketers to create content that educates and entertains our audience and supports marketing goals.
- Drive consistent, relevant traffic and leads from our social network presence.
Duties and Responsibilities:
Contribute to and influence the direction of social media strategy
- Design and execute marketing campaigns
- Analyze and report on the search performance
- Provide an SEO perspective on content creation and social media
- Improve the SEO of all company sites
- Analysis of competitor campaigns
- Regular KPI reporting
- Work closely with the SEO, online marketing and affiliate marketing teams to help coordinate all integrated online output.
Should be able to work on Designing tools like Canva, Adobe Photoshop, Lightroom, and other digital marketing designing tool.
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Full Stack Developer - Averlon