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- Working knowledge of setting up and running HD insight applications
- Hands on experience in Spark, Scala & Hive
- Hands on experience in ADF – Azure Data Factory
- Hands on experience in Big Data & Hadoop ECO Systems
- Exposure to Azure Service categories like PaaS components and IaaS subscriptions
- Ability to Design, Develop ingestion & processing frame work for ETL applications
- Hands on experience in powershell scripting, deployment on Azure
- Experience in performance tuning and memory configuration
- Should be adaptable to learn & work on new technologies
- Should have Communication Good written and spoken
A small description about the Company.
It is an Account Engagement Platform which helps B2B organizations to achieve predictable revenue growth by putting the power of AI, big data, and machine learning behind every member of the revenue team.
Looking for PYTHON DEVELOPER.
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
About the job
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
Desired Skills and Experience
Python, SQL, Scala, Spark, ETL
Responsibilities and Duties
Develop high-quality software design and architecture.
Achieve the timeline with quality delivery of assigned tasks.
Able to do technical analysis and code review.
Able to troubleshoot internal & production bugs.
Coordinate and support to project co-ordinator/project manager.
Development coding standards are achieved.
Work with internal teams to understand and analyse their needs and to ensure that proposed solution caters to same.
Adopt new technology in quick time.
Implement Unit tests and Functional tests to ascertain highest quality of deliverables.
Identify, prioritize and execute tasks in the software development life cycle.
Understand business needs and know how to implement needs in system to meet business needs.
Able to create the technical documents.
Able to leading team members and planning of team’s task.
Design, develop, modify, implement, and support software components anywhere in the software stack.
Work in close partnership with cross-functional teams and management.
Requirements
Having knowledge of ASP .Net / .net core, Web API, Micro Services, JavaScript, jQuery, Bootstrap, Flutter.
Having good Release management, Cloud Management & Data base management knowledge
Having fluency in Agile methodology
Having knowledge of Power BI / Tablue will be added advantage
Soft skills – Manager level skill
Critical thinker and creative mindset and the ability to approach a problem creatively.
Ability to provide in-depth evaluation and analysis of unique complex technological issues.
WHAT YOU WILL DO:
-
● Create and maintain optimal data pipeline architecture.
-
● Assemble large, complex data sets that meet functional / non-functional business requirements.
-
● Identify, design, and implement internal process improvements: automating manual processes,
optimizing 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 Spark,Hadoop and AWS 'big data' technologies.(EC2, EMR, S3, Athena).
-
● Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition,
operational efficiency and other key business performance metrics.
-
● Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
-
● Keep our data separated and secure across national boundaries through multiple data centers and AWS
regions.
-
● Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
-
● Work with data and analytics experts to strive for greater functionality in our data systems.
REQUIRED SKILLS & QUALIFICATIONS:
-
● 5+ years of experience in a Data Engineer role.
-
● Advanced working SQL knowledge and experience working with relational databases, query authoring
(SQL) as well as working familiarity with a variety of databases.
-
● Experience building and optimizing 'big data' data pipelines, architectures and data sets.
-
● Experience performing root cause analysis on internal and external data and processes to answer
specific business questions and identify opportunities for improvement.
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● Strong analytic skills related to working with unstructured datasets.
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● Build processes supporting data transformation, data structures, metadata, dependency and workload
management.
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● A successful history of manipulating, processing and extracting value from large disconnected datasets.
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● Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
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● Strong project management and organizational skills.
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● Experience supporting and working with cross-functional teams in a dynamic environment
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● Experience with big data tools: Hadoop, Spark, Pig, Vetica, etc.
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● Experience with AWS cloud services: EC2, EMR, S3, Athena
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● Experience with Linux
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● Experience with object-oriented/object function scripting languages: Python, Java, Shell, Scala, etc.
PREFERRED SKILLS & QUALIFICATIONS:
● Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Pingahla is recruiting business intelligence Consultants/Senior consultants who can help us with Information Management projects (domestic, onshore and offshore) as developers and team leads. The candidates are expected to have 3-6 years of experience with Informatica Power Center/Talend DI/Informatica Cloud and must be very proficient with Business Intelligence in general. The job is based out of our Pune office.
Responsibilities:
- Manage the customer relationship by serving as the single point of contact before, during and after engagements.
- Architect data management solutions.
- Provide technical leadership to other consultants and/or customer/partner resources.
- Design, develop, test and deploy data integration solutions in accordance with customer’s schedule.
- Supervise and mentor all intermediate and junior level team members.
- Provide regular reports to communicate status both internally and externally.
- Qualifications:
- A typical profile that would suit this position would be if the following background:
- A graduate from a reputed engineering college
- An excellent I.Q and analytical skills and should be able to grasp new concepts and learn new technologies.
- A willingness to work with a small team in a fast-growing environment.
- A good knowledge of Business Intelligence concepts
Mandatory Requirements:
- Knowledge of Business Intelligence
- Good knowledge of at least one of the following data integration tools - Informatica Powercenter, Talend DI, Informatica Cloud
- Knowledge of SQL
- Excellent English and communication skills
- Intelligent, quick to learn new technologies
- Track record of accomplishment and effectiveness with handling customers and managing complex data management needs
Senior Big Data Engineer
Note: Notice Period : 45 days
Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA.
We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure.
It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges.
Key Qualifications
· 5+ years of experience working with Java and Spring technologies
· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations
· Knowledge of microservices architecture is plus
· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra
· Experience with Kafka or any streaming tools
· Knowledge of Scala would be preferable
· Experience with agile application development
· Exposure of any Cloud Technologies including containers and Kubernetes
· Demonstrated experience of performing DevOps for platforms
· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity
· Exposure to Graph databases
· Passion for learning new technologies and the ability to do so quickly
· A Bachelor's degree in a computer-related field or equivalent professional experience is required
Key Responsibilities
· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture
· Design and develop the big data-focused micro-Services
· Involve in big data infrastructure, distributed systems, data modeling, and query processing
· Build software with cutting-edge technologies on cloud
· Willing to learn new technologies and research-orientated projects
· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
- Hands-on programming expertise in Java OR Python
- Strong production experience with Spark (Minimum of 1-2 years)
- Experience in data pipelines using Big Data technologies (Hadoop, Spark, Kafka, etc.,) on large scale unstructured data sets
- Working experience and good understanding of public cloud environments (AWS OR Azure OR Google Cloud)
- Experience with IAM policy and role management is a plus









