Big Data Engineer

Qualifications :

• Minimum 2 years of .NET development experience (ASP.Net 3.5 or greater and C# 4 or greater).
• Good knowledge of MVC, Entity Framework, and Web API/WCF.
• ASP.NET Core knowledge is preferred.
• Creating APIs / Using third-party APIs
• Working knowledge of Angular is preferred.
• Knowledge of Stored Procedures and experience with a relational database (MSSQL 2012 or higher).
• Solid understanding of object-oriented development principles
• Working knowledge of web, HTML, CSS, JavaScript, and the Bootstrap framework
• Strong understanding of object-oriented programming
• Ability to create reusable C# libraries
• Must be able to write clean comments, readable C# code, and the ability to self-learn.
• Working knowledge of GIT

Qualities required :

Over above tech skill we prefer to have

• Good communication and Time Management Skill.
• Good team player and ability to contribute on a individual basis.
• 
  
• We provide the best learning and growth environment for candidates.

Skills:

    NET Core

   .NET Framework

    ASP.NET Core

    ASP.NET MVC

    ASP.NET Web API  

   C#

   HTML

Requirements:

● Understanding our data sets and how to bring them together.

● Working with our engineering team to support custom solutions offered to the product development.

● Filling the gap between development, engineering and data ops.

● Creating, maintaining and documenting scripts to support ongoing custom solutions.

● Excellent organizational skills, including attention to precise details

● Strong multitasking skills and ability to work in a fast-paced environment

● 5+ years experience with Python to develop scripts.

● Know your way around RESTFUL APIs.[Able to integrate not necessary to publish]

● You are familiar with pulling and pushing files from SFTP and AWS S3.

● Experience with any Cloud solutions including GCP / AWS / OCI / Azure.

● Familiarity with SQL programming to query and transform data from relational Databases.

● Familiarity to work with Linux (and Linux work environment).

● Excellent written and verbal communication skills

● Extracting, transforming, and loading data into internal databases and Hadoop

● Optimizing our new and existing data pipelines for speed and reliability

● Deploying product build and product improvements

● Documenting and managing multiple repositories of code

● Experience with SQL and NoSQL databases (Casendra, MySQL)

● Hands-on experience in data pipelining and ETL. (Any of these frameworks/tools: Hadoop, BigQuery,

RedShift, Athena)

● Hands-on experience in AirFlow

● Understanding of best practices, common coding patterns and good practices around

● storing, partitioning, warehousing and indexing of data

● Experience in reading the data from Kafka topic (both live stream and offline)

● Experience in PySpark and Data frames

Responsibilities:

You’ll

● Collaborating across an agile team to continuously design, iterate, and develop big data systems.

● Extracting, transforming, and loading data into internal databases.

● Optimizing our new and existing data pipelines for speed and reliability.

● Deploying new products and product improvements.

● Documenting and managing multiple repositories of code.

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

You will:

• Create highly scalable AWS micro-services utilizing cutting edge cloud technologies.
• Design and develop Big Data pipelines handling huge geospatial data.
• Bring clarity to large complex technical challenges.
• Collaborate with Engineering leadership to help drive technical strategy.
• Project scoping, planning and estimation.
• Mentor and coach team members at different levels of experience.
• Participate in peer code reviews and technical meetings.
• Cultivate a culture of engineering excellence.
• Seek, implement and adhere to standards, frameworks and best practices in the industry.
• Participate in on-call rotation.

You have:

• Bachelor’s/Master’s degree in computer science, computer engineering or relevant field.
• 5+ years of experience in software design, architecture and development.
• 5+ years of experience using object-oriented languages (Java, Python).
• Strong experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc.
• Strong experience in working with different AWS technologies.
• Excellent competencies in data structures & algorithms.

Nice to have:

• Proven track record of delivering large scale projects, and an ability to break down large tasks into smaller deliverable chunks
• Experience in developing high throughput low latency backend services
• Affinity to spatial data structures and algorithms.
• Familiarity with Postgres DB, Google Places or Mapbox APIs