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.