Key takeaways
- Top companies recently listed ten new job openings for Data Engineers, indicating a growing demand in the sector.
- Positions require expertise in various data science areas, including advanced machine learning and time series forecasting.
- Roles are primarily based in Bangalore, suggesting a concentration of tech opportunities in that region.
- Candidates are expected to possess strong problem-solving skills and the ability to communicate insights effectively.
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.
