Senior Data Engineer

Haryana, Virtual Address, India

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Work Flexibility: Hybrid

What You will do:

  • Translate stakeholder requirements to potential data science solutions independently.
  • Support collaboration efforts with partners across functions.
  • Build and deliver presentations and communications that explain critical functions and findings to stakeholders with some guidance.
  • Apply fundamental and some advanced concepts, practices and procedures for problem solving.
  • Build requirements gathering documentation, needs assessments, development/maintenance of technical documentation for key systems and data assets, and translate customer/business requirements into technical requirements with some guidance.
  • Able to contribute to discussions on identifying opportunities in data architecture and movement to enable business opportunities with key stakeholders.

What you will need:

Required Qualification:

  • Bachelor’s degree in computer science, data analytics, mathematics, statistics, data science or related field with applicable data engineering & architecture work experience.
  • 2+ years of work experience required.
  • Proficient in least one programming language central to Data Engineering (e.g. SQL/Python/Spark) and Competent in object-oriented programming and data structures.
  • Ability to manage individual tasks with some guidance and flag project risks as they are identified.
  • Proficient in optimizing workflows, pipelines, and algorithms.
  • Proficient in cloud-based native tools such as data storage, distributed computing, business intelligence, and infrastructure as code (Power BI, Apache Spark, Azure, GCP, AWS etc.)
  • Proficient in ETL/ELT, pipeline creation, orchestration, & data store/warehouse/systems architecture.
  • Proficient in implementing/managing Agile/DevOps using GitHub/GitLab for versioning control, and infrastructure as code.

Preferred Qualification:

  • Master's Degree or PhD in Computer Science or quantitative discipline preferred.
  • Demonstrate financial acumen to develop financial impacts for existing projects and evaluating new opportunities.
  • Must possess strong interpersonal skills including written and oral communication.
  • Must be able to manage time, projects, stress and conflict.
  • Must have the ability to prioritize work and keep detailed and confidential records.
  • Must possess unwavering ethics & integrity in a competitive and demanding work environment.

Travel Percentage: None

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Architecture AWS Azure Business Intelligence Computer Science Data Analytics DevOps ELT Engineering ETL GCP GitHub GitLab Mathematics OOP PhD Pipelines Power BI Python Spark SQL Statistics

Regions: Remote/Anywhere Asia/Pacific
Country: India

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