About Us:
6sense is a Predictive Intelligence Engine that is reimagining how B2B companies do
sales and marketing. It works with big data at scale, advanced machine learning and
predictive modelling to find buyers and predict what they will purchase, when and
how much.
6sense helps B2B marketing and sales organizations fully understand the complex ABM
buyer journey. By combining intent signals from every channel with the industry’s most
advanced AI predictive capabilities, it is finally possible to predict account demand and
optimize demand generation in an ABM world. Equipped with the power of AI and the
6sense Demand PlatformTM, marketing and sales professionals can uncover, prioritize,
and engage buyers to drive more revenue.
6sense is seeking a Staff Software Engineer and data to become part of a team
designing, developing, and deploying its customer-centric applications.
We’ve more than doubled our revenue in the past five years and completed our Series
E funding of $200M last year, giving us a stable foundation for growth.
Responsibilities:
1. Own critical datasets and data pipelines for product & business, and work
towards direct business goals of increased data coverage, data match rates, data
quality, data freshness
2. Create more value from various datasets with creative solutions, and unlocking
more value from existing data, and help build data moat for the company3. Design, develop, test, deploy and maintain optimal data pipelines, and assemble
large, complex data sets that meet functional and non-functional business
requirements
4. Improving our current data pipelines i.e. improve their performance, SLAs,
remove redundancies, and figure out a way to test before v/s after roll out
5. Identify, design, and implement process improvements in data flow across
multiple stages and via collaboration with multiple cross functional teams eg.
automating manual processes, optimising data delivery, hand-off processes etc.
6. Work with cross function stakeholders including the Product, Data Analytics ,
Customer Support teams for their enablement for data access and related goals
7. Build for security, privacy, scalability, reliability and compliance
8. Mentor and coach other team members on scalable and extensible solutions
design, and best coding standards
9. Help build a team and cultivate innovation by driving cross-collaboration and
execution of projects across multiple teams
Requirements:
8-10+ years of overall work experience as a Data Engineer
Excellent analytical and problem-solving skills
Strong experience with Big Data technologies like Apache Spark. Experience with
Hadoop, Hive, Presto would-be a plus
Strong experience in writing complex, optimized SQL queries across large data
sets. Experience with optimizing queries and underlying storage
Experience with Python/ Scala
Experience with Apache Airflow or other orchestration tools
Experience with writing Hive / Presto UDFs in Java
Experience working on AWS cloud platform and services.
Experience with Key Value stores or NoSQL databases would be a plus.
Comfortable with Unix / Linux command line
Interpersonal Skills:
You can work independently as well as part of a team.
You take ownership of projects and drive them to conclusion.
You’re a good communicator and are capable of not just doing the work, but also
teaching others and explaining the “why” behind complicated technical
decisions.
You aren’t afraid to roll up your sleeves: This role will evolve over time, and we’ll
want you to evolve with it
Subodh Popalwar
Software Engineer, Memorres
About 6sense
6sense reinvents the way organizations create, manage, and convert pipeline to revenue. The 6sense Revenue AI platform captures anonymous buying signals, predicts the right accounts to target at the ideal time, and recommends the channels and messages to boost revenue performance. Removing guesswork, friction and wasted sales effort, 6sense empowers sales, marketing, and customer success teams to significantly improve pipeline quality, accelerate sales velocity, increase conversion rates, and grow revenue predictably. 6sense has been recognized for its market-defining technology by Forbes Cloud 100, G2, TrustRadius, Gartner, and Forrester, and for its strong culture by Glassdoor, Inc. Magazine, and Comparably.
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About DeepIntent:
DeepIntent is a marketing technology company that helps healthcare brands strengthen communication with patients and healthcare professionals by enabling highly effective and performant digital advertising campaigns. Our healthcare technology platform, MarketMatch™, connects advertisers, data providers, and publishers to operate the first unified, programmatic marketplace for healthcare marketers. The platform’s built-in identity solution matches digital IDs with clinical, behavioural, and contextual data in real-time so marketers can qualify 1.6M+ verified HCPs and 225M+ patients to find their most clinically-relevant audiences and message them on a one-to-one basis in a privacy-compliant way. Healthcare marketers use MarketMatch to plan, activate, and measure digital campaigns in ways that best suit their business, from managed service engagements to technical integration or self-service solutions. DeepIntent was founded by Memorial Sloan Kettering alumni in 2016 and acquired by Propel Media, Inc. in 2017. We proudly serve major pharmaceutical and Fortune 500 companies out of our offices in New York, Bosnia and India.
What You’ll Do:
- Establish formal data practice for the organisation.
- Build & operate scalable and robust data architectures.
- Create pipelines for the self-service introduction and usage of new data
- Implement DataOps practices
- Design, Develop, and operate Data Pipelines which support Data scientists and machine learning
- Engineers.
- Build simple, highly reliable Data storage, ingestion, and transformation solutions which are easy
- to deploy and manage.
- Collaborate with various business stakeholders, software engineers, machine learning
- engineers, and analysts.
Who You Are:
- Experience in designing, developing and operating configurable Data pipelines serving high
- volume and velocity data.
- Experience working with public clouds like GCP/AWS.
- Good understanding of software engineering, DataOps, data architecture, Agile and
- DevOps methodologies.
- Experience building Data architectures that optimize performance and cost, whether the
- components are prepackaged or homegrown
- Proficient with SQL, Java, Spring boot, Python or JVM-based language, Bash
- Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow
- etc. and big data databases like BigQuery, Clickhouse, etc
- Good communication skills with the ability to collaborate with both technical and non-technical
- people.
- Ability to Think Big, take bets and innovate, Dive Deep, Bias for Action, Hire and Develop the Best, Learn and be Curious
• Create and maintain data pipeline
• Build and deploy ETL infrastructure for optimal data delivery
• Work with various including product, design and executive team to troubleshoot data
related issues
• Create tools for data analysts and scientists to help them build and optimise the product
• Implement systems and process for data access controls and guarantees
• Distill the knowledge from experts in the field outside the org and optimise internal data
systems
Preferred qualifications/skills:
• 5+ years experience
• Strong analytical skills
____ 04
Freight Commerce Solutions Pvt Ltd.
• Degree in Computer Science, Statistics, Informatics, Information Systems
• Strong project management and organisational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• SQL guru with hands on experience on various databases
• NoSQL databases like Cassandra, MongoDB
• Experience with Snowflake, Redshift
• Experience with tools like Airflow, Hevo
• Experience with Hadoop, Spark, Kafka, Flink
• Programming experience in Python, Java, Scala
Bigdata with cloud:
Experience : 5-10 years
Location : Hyderabad/Chennai
Notice period : 15-20 days Max
1. Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
2. Experience in developing lambda functions with AWS Lambda
3. Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
4. Should be able to code in Python and Scala.
5. Snowflake experience will be a plus
Amazon Web Services (AWS)Position: Big Data Engineer
What You'll Do
Punchh is seeking to hire Big Data Engineer at either a senior or tech lead level. Reporting to the Director of Big Data, he/she will play a critical role in leading Punchh’s big data innovations. By leveraging prior industrial experience in big data, he/she will help create cutting-edge data and analytics products for Punchh’s business partners.
This role requires close collaborations with data, engineering, and product organizations. His/her job functions include
- Work with large data sets and implement sophisticated data pipelines with both structured and structured data.
- Collaborate with stakeholders to design scalable solutions.
- Manage and optimize our internal data pipeline that supports marketing, customer success and data science to name a few.
- A technical leader of Punchh’s big data platform that supports AI and BI products.
- Work with infra and operations team to monitor and optimize existing infrastructure
- Occasional business travels are required.
What You'll Need
- 5+ years of experience as a Big Data engineering professional, developing scalable big data solutions.
- Advanced degree in computer science, engineering or other related fields.
- Demonstrated strength in data modeling, data warehousing and SQL.
- Extensive knowledge with cloud technologies, e.g. AWS and Azure.
- Excellent software engineering background. High familiarity with software development life cycle. Familiarity with GitHub/Airflow.
- Advanced knowledge of big data technologies, such as programming language (Python, Java), relational (Postgres, mysql), NoSQL (Mongodb), Hadoop (EMR) and streaming (Kafka, Spark).
- Strong problem solving skills with demonstrated rigor in building and maintaining a complex data pipeline.
- Exceptional communication skills and ability to articulate a complex concept with thoughtful, actionable recommendations.
PostgreSQLQentelli is seeking a Solution Architect to untangle and redesign a huge granny old monolithic legacy system. Interesting part is that the new system should be commissioned module by module and legacy system should phase off accordingly. So your design will have a cutting edge future state and a transition state to get there. Implementation now is all Microsoft tech stack and will continue to be on newer Microsoft tech stack. Also there is a critical component of API management to be introduced into the solution. Performance and scalability will be at the center of your solution architecture. Data modelling is one thing that is of super high importance to know.
You’ll have a distributed team with onshore in the US and offshore in India. As a Solution Architect, you should be able to wear multiple hats of working with client on solutioning and getting it implemented by engineering and infrastructure teams that are both onshore and offshore. Right candidate will be awesome at fleshing out and documenting every finer detail of the solution, elaborate at communicating with your teams, disciplined at getting it implemented and passionate for client success.
TECHNOLOGIES YOU’LL NEED TO KNOW
Greetings from Qentelli Solutions Private Limited!
We are hiring for PostgreSQL Developer
Experience: 4 to 12 years
Job Location: Hyderabad
Job Description:
- Experience in RDBMS (PostgreSQL preferred), Database Backend development, Data Modelling, Performance Tuning, exposure to NoSQL DB, Kubernetes or Cloud (AWS/Azure/GCS)
Skillset for Developer-II:
- Experience on any Big Data Tools (Nifi, Kafka, Spark, sqoop, storm, snowflake), Database Backend development, Python, No SQL DB, API Exposure, cloud or Kubernetes exposure
Skillset for API Developer:
- API Development with extensive knowledge on any RDBMS (preferred PostgreSQL), exposure to cloud or Kubernetes
• 5+ years’ experience developing and maintaining modern ingestion pipeline using
technologies like Spark, Apache Nifi etc).
• 2+ years’ experience with Healthcare Payors (focusing on Membership, Enrollment, Eligibility,
• Claims, Clinical)
• Hands on experience on AWS Cloud and its Native components like S3, Athena, Redshift &
• Jupyter Notebooks
• Strong in Spark Scala & Python pipelines (ETL & Streaming)
• Strong experience in metadata management tools like AWS Glue
• String experience in coding with languages like Java, Python
• Worked on designing ETL & streaming pipelines in Spark Scala / Python
• Good experience in Requirements gathering, Design & Development
• Working with cross-functional teams to meet strategic goals.
• Experience in high volume data environments
• Critical thinking and excellent verbal and written communication skills
• Strong problem-solving and analytical abilities, should be able to work and delivery
individually
• Good-to-have AWS Developer certified, Scala coding experience, Postman-API and Apache
Airflow or similar schedulers experience
• Nice-to-have experience in healthcare messaging standards like HL7, CCDA, EDI, 834, 835, 837
• Good communication skills
Understand various raw data input formats, build consumers on Kafka/ksqldb for them and ingest large amounts of raw data into Flink and Spark.
Conduct complex data analysis and report on results.
Build various aggregation streams for data and convert raw data into various logical processing streams.
Build algorithms to integrate multiple sources of data and create a unified data model from all the sources.
Build a unified data model on both SQL and NO-SQL databases to act as data sink.
Communicate the designs effectively with the fullstack engineering team for development.
Explore machine learning models that can be fitted on top of the data pipelines.
Mandatory Qualifications Skills:
Deep knowledge of Scala and Java programming languages is mandatory
Strong background in streaming data frameworks (Apache Flink, Apache Spark) is mandatory
Good understanding and hands on skills on streaming messaging platforms such as Kafka
Familiarity with R, C and Python is an asset
Analytical mind and business acumen with strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
Roles & Responsibilities
- Proven experience with deploying and tuning Open Source components into enterprise ready production tooling Experience with datacentre (Metal as a Service – MAAS) and cloud deployment technologies (AWS or GCP Architect certificates required)
- Deep understanding of Linux from kernel mechanisms through user space management
- Experience on CI/CD (Continuous Integrations and Deployment) system solutions (Jenkins).
- Using Monitoring tools (local and on public cloud platforms) Nagios, Prometheus, Sensu, ELK, Cloud Watch, Splunk, New Relic etc. to trigger instant alerts, reports and dashboards. Work closely with the development and infrastructure teams to analyze and design solutions with four nines (99.99%) up-time, globally distributed, clustered, production and non-production virtualized infrastructure.
- Wide understanding of IP networking as well as data centre infrastructure
Skills
- Expert with software development tools and sourcecode management, understanding, managing issues, code changes and grouping them into deployment releases in a stable and measurable way to maximize production Must be expert at developing and using ansible roles and configuring deployment templates with jinja2.
- Solid understanding of data collection tools like Flume, Filebeat, Metricbeat, JMX Exporter agents.
- Extensive experience operating and tuning the kafka streaming data platform, specifically as a message queue for big data processing
- Strong understanding and must have experience:
- Apache spark framework, specifically spark core and spark streaming,
- Orchestration platforms, mesos and kubernetes,
- Data storage platforms, elasticstack, carbon, clickhouse, cassandra, ceph, hdfs
- Core presentation technologies kibana, and grafana.
- Excellent scripting and programming skills (bash, python, java, go, rust). Must have previous experience with “rust” in order to support, improve in house developed products
Certification
Red Hat Certified Architect certificate or equivalent required CCNA certificate required 3-5 years of experience running open source big data platforms
Data Analytics
Machine Learning (ML)
Python
Data Science
R Programming
Follow CutshortSubodh Popalwar
Software Engineer, Memorres