Senior Data Engineer- 1460

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

5+ years of relevant data engineering experience., Strong understanding of data modeling principles including dimensional modeling and data normalization., 2+ years of experience with analytic SQL and relational databases like Postgres, Snowflake, or Redshift., Bachelor’s Degree in computer science, information systems, or related field, or equivalent work experience..

Key responsibilities:

  • Partner with technical and non-technical colleagues to understand data and reporting requirements.
  • Design table structures and define ETL pipelines to build performant data solutions.
  • Develop and maintain automated Data Quality checks and ETL routines using orchestration tools like Airflow.
  • Conduct SQL and ETL performance tuning as necessary.

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aKube Inc Information Technology & Services SME https://www.aKubeinc.com
51 - 200 Employees
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Job description

This is a remote position.

Onsite/ Hybrid/ Remote: Remote
Rate Range: Up to$92.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization: GC, USC, All valid EADs except H1b
Duration: 4 months

 Must Have:

  • SQL
  • Power BI
  • Data modeling principles (dimensional modeling & data normalization)
  • ETL and orchestration tools (Airflow preferred)
  • Experience with Postgres, Snowflake or Redshift
  • Strong understanding of SQL engines and advanced performance tuning
  • Strong communication skills

 Responsibilities:

  • Partner with technical and non-technical colleagues to understand data and reporting requirements.
  • Work with engineering teams to collect required data from internal and external systems.
  • Design table structures and define ETL pipelines to build performant data solutions.
  • Develop and maintain automated Data Quality checks.
  • Develop and maintain ETL routines using orchestration tools such as Airflow.
  • Implement database deployments using tools like Schema Change.
  • Perform ad hoc analysis as necessary.
  • Conduct SQL and ETL performance tuning.

 Qualifications:

  • 5+ years of relevant data engineering experience.
  • Strong understanding of data modeling principles including dimensional modeling & data normalization.
  • 2+ years of experience with analytic SQL, working with traditional relational databases and/or distributed systems (Postgres, Snowflake, Redshift).
  • Ability to think strategically and interpret market and consumer information.
  • Strong written and verbal communication skills.
  • Excellent conceptual and analytical reasoning skills.
  • Familiarity with Agile Scrum principles.
  • Bachelor’s Degree in computer science, information systems, or related field, or equivalent work experience.

 Preferred:

  • Master’s Degree in a related field or certifications,
  • 1+ year of experience with programming languages (nodeJS, Python, PySpark), and
  • 1+ year of experience with orchestration/ETL tools (Airflow, Nifi).


Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Thinking
  • Communication

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