10 Latest Data Engineer Job Openings At Top Companies

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

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.

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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Ambika Choudhury
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.

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