Khoj Information Technology, Inc. | Data Engineer with ETL & Snowflake Exp (Fulltime with benefits) | Remote | United States | | 2023-01-27

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Job Location: Remote

Job Detail:

Our client is looking for a fulltime resource. ETL and Snowflake exp is a must. This client will NOT sponsor. Therefore, it is highly recommended that resource with valid work authorization should apply.

Job Duties:

· Partner with business stakeholders to gather requirements and translate them into technical specifications and process documentation for IT counterparts (on-prem and offshore) Jyotish Jyotish - Career & Life Prediction

· Design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management

· Develop a deep understanding of operations, data, data sources, and data integration with a view to creating deep and meaningful insights that drive business value

· Work with the Data Product team to identify and import data from a variety of ERP sources into our cloud-based environment to support future analytics needs

· Develop and ensure adherence to published system architectural decisions and development standards

· Multi-task across several ongoing projects and daily duties of varying priorities as required

· Interact with technical teams to communicate business requirements and collaboratively build data solutions.

· Develop and support Master data capabilities for Enterprise MDM

· Support the MDM architectural solutions, participate in design discussions and help in MDM strategies and roadmap development for future domains

· Understand the basics of data science and data science platforms to work data science teams in refining and optimizing data science and machine learning models and algorithms

· Work with data governance and data security teams when moving data pipelines into production with appropriate data quality, governance and security standards and certification


· Bachelor’s degree in a quantitative field with 7 years of experience or master’s with 5 years of experience.

· 7+ years’ experience working in ETL positions in operational environments or business consulting organizations

· Excellent communication skills with a track record of successfully advocating to turn insights into action

· ETL/ELT, data replication/CDC, message-oriented data movement, API design and access.

· Hands on experience in Matillion as the ETL tool

· Any experience in Oracle data integrator is a plus, but not a must

· Experience with Snowflake cloud data platform including Snowflake utilities like Snow SQL, Snow Pipe. Snowflake certification is a huge plus

· 3+ years’ experience using moderate to advanced SQL

· Strong expertise in data modeling and building Logical Data Model (LDM), and Physical Data Model (PDM), Star/Snowflake Schema to assist in fast reporting and BI dashboards.

· Experience with MDM tools and implementation

· Experience with MDM integration patterns (near realtime, batch)

· Experience in implementing business and quality rules into MDM workflow

· Must have exposure with development, configuration, and deployment on Azure Cloud technologies

· Experience with programming languages, including Python, R and Java, SQL, PL/SQL for relational databases

· Exposure to reporting tools using Tableau or MicroStrategy

· Experience in automation the test cases for regression testing, integrating testing as part of the automation / DevOps pipeline


· Health care benefits, starting the first of month after 30 days of employment

· Monday – Friday schedule

· 401(k) with company match

· Closed holidays

· Paid time off

· Employee discount

· Relocation

· Client will support your educational and career goals with their continuous education programs

CONTACT KHURRAM @ 201 677 1257 EXT 109 OR khurramatkhoj-incdotcom

Job Type: Full-time

Pay: $80,000.00 – $115,000.00 per year


  • 401(k)
  • Health insurance
  • Paid time off

Experience level:

  • 7 years


  • 8 hour shift


  • Informatica: 1 year (Preferred)
  • SQL: 1 year (Preferred)
  • Data warehouse: 1 year (Preferred)

Work Location: Remote

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