DBA SDE

About Slintel (a 6sense company) :

Slintel, a 6sense company,  the leader in capturing technographics-powered buying intent, helps companies uncover the 3% of active buyers in their target market. Slintel evaluates over 100 billion data points and analyzes factors such as buyer journeys, technology adoption patterns, and other digital footprints to deliver market & sales intelligence.

Slintel's customers have access to the buying patterns and contact information of more than 17 million companies and 250 million decision makers across the world.

Slintel is a fast growing B2B SaaS company in the sales and marketing tech space. We are funded by top tier VCs, and going after a billion dollar opportunity. At Slintel, we are building a sales development automation platform that can significantly improve outcomes for sales teams, while reducing the number of hours spent on research and outreach.

We are a big data company and perform deep analysis on technology buying patterns, buyer pain points to understand where buyers are in their journey. Over 100 billion data points are analyzed every week to derive recommendations on where companies should focus their marketing and sales efforts on. Third party intent signals are then clubbed with first party data from CRMs to derive meaningful recommendations on whom to target on any given day.

6sense is headquartered in San Francisco, CA and has 8 office locations across 4 countries.

6sense, an account engagement platform, secured $200 million in a Series E funding round, bringing its total valuation to $5.2 billion 10 months after its $125 million Series D round. The investment was co-led by Blue Owl and MSD Partners, among other new and existing investors.

Linkedin (Slintel) : https://www.linkedin.com/company/slintel/">https://www.linkedin.com/company/slintel/

Industry : Software Development

Company size : 51-200 employees (189 on LinkedIn)

Headquarters : Mountain View, California

Founded : 2016

Specialties : Technographics, lead intelligence, Sales Intelligence, Company Data, and Lead Data.

Website (Slintel) : https://www.slintel.com/slintel">https://www.slintel.com/slintel

Linkedin (6sense) : https://www.linkedin.com/company/6sense/">https://www.linkedin.com/company/6sense/

Industry : Software Development

Company size : 501-1,000 employees (937 on LinkedIn)

Headquarters : San Francisco, California

Founded : 2013

Specialties : Predictive intelligence, Predictive marketing, B2B marketing, and Predictive sales

Website (6sense) : https://6sense.com/">https://6sense.com/

Acquisition News : 

https://inc42.com/buzz/us-based-based-6sense-acquires-b2b-buyer-intelligence-startup-slintel/ 

Funding Details & News :

Slintel funding : https://www.crunchbase.com/organization/slintel">https://www.crunchbase.com/organization/slintel

6sense funding : https://www.crunchbase.com/organization/6sense">https://www.crunchbase.com/organization/6sense

https://www.nasdaq.com/articles/ai-software-firm-6sense-valued-at-%245.2-bln-after-softbank-joins-funding-round">https://www.nasdaq.com/articles/ai-software-firm-6sense-valued-at-%245.2-bln-after-softbank-joins-funding-round

https://www.bloomberg.com/news/articles/2022-01-20/6sense-reaches-5-2-billion-value-with-softbank-joining-round">https://www.bloomberg.com/news/articles/2022-01-20/6sense-reaches-5-2-billion-value-with-softbank-joining-round

https://xipometer.com/en/company/6sense">https://xipometer.com/en/company/6sense

Slintel & 6sense Customers :

https://www.featuredcustomers.com/vendor/slintel/customers

https://www.featuredcustomers.com/vendor/6sense/customers">https://www.featuredcustomers.com/vendor/6sense/customers

Responsibilities

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimising 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, Elastic search, MongoDB, and AWS technology
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems
  
  

Requirements

• 3+ years of experience in a Data Engineer role
• Proficiency in Linux
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena
• Must have experience with Python/ Scala
• Must have experience with Big Data technologies like Apache Spark
• Must have experience with Apache Airflow
• Experience with data pipeline and ETL tools like AWS Glue
• Experience working with AWS cloud services: EC2 S3 RDS, Redshift and other Data solutions eg. Databricks, Snowflake

 

Python, SQL, Scala, Spark, ETL

 

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

 

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Mandatory Requirements 

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark

 

HIRING SQL Developers with max 20 days Of NOTICE PERIOD

Job ID: TNS2023DB01

Who Should apply?

• Only for Serious job seekers who are ready to work in night shift
• Technically Strong Candidates who are willing to take up challenging roles and want to raise their Career graph
• No DBAs & BI Developers, please

 

• Exposure to the latest technology
• Opportunity to work on different platforms
• Rapid Career Growth
• Friendly Knowledge-Sharing Environment

 

• BE/MTech/MCA/MSc
• 2yrs Hands Experience in MS SQL / NOSQL
• Immediate joiners preferred/ Maximum notice period between 15 to 20 days
• Candidates will be selected based on logical/technical and scenario-based testing
• Work time - 10:00 pm to 6:00 am

 

Note: Candidates who have attended the interview process with TnS in the last 6 months will not be eligible.

 

 

1. Technical Skills Desired:
   1. Experience in MS SQL Server, and one of these Relational DB’s, PostgreSQL / AWS Aurora DB / MySQL / any of NoSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch
   2. Design database tables, views, indexes
   3. Write functions and procedures for Middle Tier Development Team
   4. Work with any front-end developers in completing the database modules end to end (hands-on experience in the parsing of JSON & XML in Stored Procedures would be an added advantage).
   5. Query Optimization for performance improvement
   6. Design & develop SSIS Packages or any other Transformation tools for ETL

 

1. Functional Skills Desired:
   1. The banking / Insurance / Retail domain would be a
   2. Interaction with a client a

1. Knowledge in a Cloud Platform (AWS / Azure)
2. Knowledge on version control system (SVN / Git)
3. Exposure to Quality and Process Management
4. Knowledge in Agile Methodology

 

1. Soft skills: (additional)
   1. Team building (attitude to train, work along, and mentor juniors)
   2. Communication skills (all kinds)
   3. Quality consciousness
   4. Analytical acumen to all business requirements
   5. Think out-of-box for business solution

• Design, build web crawlers to scrape data and URLs.
• Integrate the data crawled and scraped into our databases
• Create more/better ways to crawl relevant information
• Strong knowledge of web technologies (HTML, CSS, Javascript, XPath, Regex)
• Understanding of data privacy policies (esp. GDPR) and personally identifiable information
• Develop automated and reusable routines for extracting information from various data sources
• Prepare requirement summary and re-confirm with Operation team
• Translate business requirements into specific solutions
• Ability to relay technical information to non-technical users
• Demonstrate Effective problem solving and analytical skill
• Ability to pay attention to detail, pro-active, critical thinking and accuracy is essential
• Ability to work to deadlines and give realistic estimates

    

 

Skills & Expertise

• 2+ years of web scraping experience

• Experience with two or more of the following web scraping frameworks and tools: Selenium, Scrapy, Import.io, Webhose.io, ScrapingHub, ParseHub, Phantombuster, Octoparse, Puppeter, etc.
• Basic knowledge of data engineering (database ingestion, ETL, etc.) 
• Solution orientation and "can do" attitude - with a desire to tackle complex problems.

Roles and Responsibilities

● Working on an awesome AI product for the eCommerce domain.
● Build the next-generation information extraction, computer vision product powered
by state-of-the-art AI and Deep Learning techniques.
● Work with an international top-notch engineering team with full commitment to
Machine Learning development.

Desired Candidate Profile

● Passionate about search & AI technologies. Open to collaborating with colleagues &
external contributors.
● Good understanding of the mainstream deep learning models from multiple domains:
computer vision, NLP, reinforcement learning, model optimization, etc.
● Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet,
BERT. Able to implement the latest DL model using existing API, open-source libraries
in a short time.
● Hands-on experience with the Cloud-Native techniques. Good understanding of web
services and modern software technologies.
● Maintained/contributed machine learning projects, familiar with the agile software
development process, CICD workflow, ticket management, code-review, version
control, etc.
● Skilled in the following programming languages: Python 3.
● Good English skills especially for writing and reading documentation

Want to join the trailblazing Fintech company which is leveraging software and technology to change the face of short-term financing in India!

Our client is an innovative Fintech company that is revolutionizing the business of short term finance. The company is an online lending startup that is driven by an app-enabled technology platform to solve the funding challenges of SMEs by offering quick-turnaround, paperless business loans without collateral. It counts over 2 million small businesses across 18 cities and towns as its customers. Its founders are IIT and ISB alumni with deep experience in the fin-tech industry, from earlier working with organizations like Axis Bank, Aditya Birla Group, Fractal Analytics, and Housing.com. It has raised funds of Rs. 100 Crore from finance industry stalwarts and is growing by leaps and bounds.

 

 

What you need to have:

 

You'll be giving industry standard training to engineering students and mentoring them to develop their custom mini projects.

Responsibilities :- Define the short-term tactics and long-term technology strategy.- Communicate that technical vision to technical and non-technical partners, customers and investors.- Lead the development of AI/ML related products as it matures into lean, high performing agile teams.- Scale the AI/ML teams by finding and hiring the right mix of on-shore and off-shore resources.- Work collaboratively with the business, partners, and customers to consistently deliver business value.- Own the vision and execution of developing and integrating AI & machine learning into all aspects of the platform.- Drive innovation through the use of technology and unique ways of applying it to business problems.Experience and Qualifications :- Masters or Ph.D. in AI, computer science, ML, electrical engineering or related fields (statistics, applied math, computational neuroscience)- Relevant experience leading & building teams establishing technical direction- A well-developed portfolio of past software development, composed of some mixture of professional work, open source contributions, and personal projects.- Experience in leading and developing remote and distributed teams- Think strategically and apply that through to innovative solutions- Experience with cloud infrastructure- Experience working with machine learning, artificial intelligence, and large datasets to drive insights and business value- Experience in agents architecture, deep learning, neural networks, computer vision and NLP- Experience with distributed computational frameworks (YARN, Spark, Hadoop)- Proficiency in Python, C++. Familiarity with DL frameworks (e.g. neon, TensorFlow, Caffe, etc.)Personal Attributes :- Excellent communication skills- Strong fit with the culture- Hands-on approach, self-motivated with a strong work ethic- Ability to learn quickly (technology, business models, target industries)- Creative and inspired.Superpowers we love :- Entrepreneurial spirit and a vibrant personality- Experience with lean startup build-measure-learn cycle- Vision for AI- Extensive understanding of why things are done the way they are done in agile development.- A passion for adding business valueNote: Selected candidate will be offered ESOPs too.Employment Type : Full TimeSalary : 8-10 Lacs + ESOPFunction : Systems/Product SoftwareExperience : 3 - 10 Years

Data Engineer: Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, solutions to accelerate business transformation. We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries.We’re seeking passionate people to work with us to change the way data is captured, accessed and processed, to make data driven insightful decisions. Must have skills : Hands-on experience in database systems (Structured and Unstructured). Programming in Python, R, SAS. Overall knowledge and exposure on how to architect solutions in cloud platforms like GCP, AWS, Microsoft Azure. Develop and maintain scalable data pipelines, with a focus on writing clean, fault-tolerant code. Hands-on experience in data model design, developing BigQuery/SQL (any variant) stored. Optimize data structures for efficient querying of those systems. Collaborate with internal and external data sources to ensure integrations are accurate, scalable and maintainable. Collaborate with business intelligence/analytics teams on data mart optimizations, query tuning and database design. Execute proof of concepts to assess strategic opportunities and future data extraction and integration capabilities. Must have at least 2 years of experience in building applications, solutions and products based on analytics. Data extraction, Data cleansing and transformation. Strong knowledge on REST APIs, Http Server, MVC architecture. Knowledge on continuous integration/continuous deployment. Preferred but not required: Machine learning and Deep learning experience Certification on any cloud platform is preferred. Experience of data migration from On-Prem to Cloud environment. Exceptional analytical, quantitative, problem-solving, and critical thinking skills Excellent verbal and written communication skills Work Location: Bangalore