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10 Latest Data Engineer Job Openings At Top Companies

10 Latest Data Engineer Job Openings At Top Companies

  • Check out the 10 latest job openings for Data Engineers posted by top companies last week.

Here are the ten latest job openings for Data Engineers posted by top companies last week.

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Extras:

Data Scientist – Advanced Machine Learning

Location: Bangalore

Responsibilities:

  • Understanding the business problem as well as experimenting with various modelling architectures to create the best possible setup from the model and computational performance.
  • Design, train, and deliver Data Science solutions using all modalities (tabular, text, image) and of all sizes (small or big data).
  • Develop as well as maintain robust data processing pipelines and reproducible modelling pipelines.

Apply here.

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Data Scientist – Time Series Forecasting Expert

Location: Bangalore

Responsibilities:

  • Expert-level proficiency in Multivariate Time Series Forecasting or Causal Forecasting
  • Understand the business objectives as well as formulate the problem as a Data Science problem.
  • Explore data and communicate insights clearly to non-technical as well as the technical audience.

Apply here.

Sr. Architect – Machine Learning

Location: Bangalore

Responsibilities:

  • Identifying and executing high-value AI/ML projects within the organisation.
  • Growth enhancement as well as cost improvement programs.

Apply here.

1| Data Engineer: Business Intelligence at IBM

Location: Bangalore

Responsibilities:

  • Develop Tableau dashboards with advanced calculations, Scheduling Extracts, Performance Optimisations.
  • Conducting unit tests and developing database queries to analyse the effects and fix issues.
  • Performing and documenting data analysis, data validation, and data mapping/design.

Apply here.

2| Data Scientist, Engineering at Google

Location: Bangalore

Responsibilities:

  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods. Conduct end-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed.

Apply here.

3| Data Engineer at Amazon

Location: Hyderabad

Responsibilities:

  • Interface with business customers, gathering requirements and delivering complete reporting solutions.
  • Participate in strategic & tactical planning discussions, including annual budget processes.

Apply here.

4| Data Engineer at LinkedIn

Location: Bangalore

Responsibilities:

  • Build data expertise, act as an owner for the company and manage complex data systems for a product or a group of products.
  • Performing all necessary data transformations to serve products that empower data-driven decision making.
  • Designing, integrating and documenting technical components for data flows or applications that perform analysis at a massive scale.

Apply here.

5| Analytics Developer- Data Engineer at Airbnb

Location: Gurugram

Responsibilities:

  • Creating QA plans, validating metrics and peer-reviewing code: identifying opportunities for improvement contributing to the development of Airbnb’s best practices
  • Support initiatives around real-time data and analytics tools development.
  • Push for continuous improvement in building reproducible and scalable reporting pipelines.

Apply here.

6| AWS Data Engineer at Genpact

Location: Noida

Responsibilities:

  • Analyse, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or third party services.
  • Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, and Scala.
  • Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.

Apply here.

7| Data Engineer – 3 at PayPal

Location: Bangalore

Responsibilities:

  • Work with peers in building configurable solutions spanning multiple technologies and platforms –Teradata, Python, ETL, HIVE, Microstrategy, Tableau, PowerBI, Shell, SQLserver, etc.
  • Building statistical and machine learning models for complaints, prediction and classification.

Apply here.

8| Data Engineer at McAfee

Location: Bangalore

Responsibilities:

  • Test, Automate, build, maintenance, and production support of big data pipelines and Hadoop ecosystem.
  • Being aware of current big data technology trends & factoring this into current design and implementation.
  • Identify, recommend, coordinate, deliver timely knowledge to the globally distributed teams regarding technologies, processes, and tools.

Apply here.

9| Data Engineer at NatWest Group

Location: Bangalore

Responsibilities:

  • Participating in the data engineering community to deliver opportunities to support the bank’s strategic direction
  • Developing a clear understanding of data platform cost levers to build cost-effective and strategic solutions
  • Building automated data engineering pipelines.

Apply here.

10| Data Engineer at GE

Location: Bangalore

Responsibilities:

  • Develop data mapping specifications based on the results of data analysis and functional requirements.
  • Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications.

Apply here.

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