Data engineer

Hello There,

Wish you a Happy Wednesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email [email protected] with your updated resume.

POSITION :SR. SOFTWARE ENGINEER - ETL DEVELOPER (PYSPARK)

LOCATION :NYC, NY

Make sure the template is filled out and the resume is under 4 pages.

Keys Are

• PYTHON: DEEP EXPERTISE IN TYPICAL DATA ENGINEERING USES NOT SWE USES
• ABILITY TO BUILD/DESIGN SCALABLE PIPELINE SOLUTIONS TO INCLUDE INGESTION AND MODELING
• ADVANCED SQL
• AIRFLOW OR SIMILAR SCHEDULING TOOL
• HADOOP OR SIMILAR
  
  

Description & Requirements

The Risk Engineering team is looking for an experienced engineer to join our growing and diverse group. We build tools that help the company discover, classify, and keep track of data-especially sensitive and personal information. Our work helps protect this data, supports privacy regulations like GDPR and CCPA, and makes it easier for teams across the company to understand and use data responsibly. In addition to enabling data protection and privacy, we are also building data inventory and risk analytics capabilities that provide deep visibility into data and support informed, risk-aware decisions. We focus on building reliable systems that bring transparency and trust to how data is managed.

A key objective of this role is for you to help to build and support enterprise level data analytics programs leveraging traditional warehouse technologies, Pyspark, MPP databases and Hadoop.

We'll Trust You To

• Join a fast-paced team of dedicated engineers who are committed to building risk analytics to drive enterprise-wide data governance and privacy.
• Shape the strategic and technological direction of the team
• Empower your career growth through exposure to cutting-edge tools, processes, and challenges
• Work closely with engineering and risk partners to deliver enterprise-scale impact
• Translate business needs into robust engineering solutions
  
  

In Order To Be Successful

• You should have a working knowledge of industry standard Data Infrastructure (e.g. Warehouse, BI, Analytics, Big-Data, etc.) tools with the goal of providing end users with analytics at the speed of thought.
• You should be proficient at developing, architecting, standardizing and supporting technology platforms using Industry leading ETL solutions.
• You should thrive in building scalable and high throughput systems
• You should have experience with agile BI & ETL practices to assist with the interim Data preparation for Data Discovery & self-service needs.
• You must have strong communication, presentation, problem-solving, and trouble-shooting skills.
• You should be highly motivated to drive innovations company-wide.
  
  

You'll Need To Have

• 5+ years of experience in designing and developing ETL pipelines leveraging pyspark/python.
• Experience on python database libraries like SQLAlchemy, psycopg2 .etc
• Strong understanding of data warehousing methodologies, ETL processing and dimensional data modeling.
• Advanced SQL capabilities are required. Knowledge of database design techniques and experience working with extremely large data volumes is a plus.
• Demonstrated experience and ability to work with business users to gather requirements and manage scope.
• Experience in workflow tools such as oozie or Airflow or Tidal
• Experience working in a big data environment with technologies such as Greenplum, Hadoop and HIVE
• BA, BS, MS, PhD in Computer Science, Engineering or related technology field
  
  

We'd Love To See

• Experience with large database and DW Implementation (20+ TBs)
• Understanding of VLDB performance aspects, such as table partitioning, sharding, table distribution and optimization techniques
• Knowledge of reporting tools such as Qlik Sense, Tableau, Cognos
  
  

AGENCY INTAKE FORM (Candidates needs to fill the below form)

• What are they currently working on? Comments and the below.
• What type of development have they been working with? If mixture, provide % breakdown.
  • Embedded
  • System / Machine / Kernel level
  • Application (Backend)
  • Application (Middle)
  • Application (Front-end)
• Programming Languages
  • What language are they currently using?
  • Preferred/Strongest Programming language?
  • Other languages & technologies that candidate feels confident in?
• Are they focused on new development or maintenance?
• How much exposure to databases do they have? Which databases are they working with and at what level?
• What's motivating them to make a move?
• Are they interested working on something finance related?
• Are they active on the market now? Any other interviews scheduled or offers?
• What are they specifically looking to work on? (More details than difficult problems...)