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10 Latest Big Data Engineer Openings At Top Firms In India

10 Latest Big Data Engineer Openings At Top Firms In India

  • Check out the latest big data engineer jobs posted last week by big firms in India.

Extras:

1| Senior Technical Architect at Thoucentric

Location: Bangalore

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Responsibilities: 

  • Design and implement data architecture and ETL for a niche data platform.
  • Bring in-depth understanding on Relational, Big Data and Cloud technologies.
  • Build client relationships and participate in business development and proposal work to grow a strong data engineering sub-practice.

Apply here.

2| Data Engineer at Thoucentric

Location: Bangalore

Responsibilities: 

  • Build data crawlers to extract data from customers’ data sources using available ETL platforms, and troubleshoot the issues faced during data loading & processing.
  • Design and build data warehouse models in columnar databases.
  • Develop data processing scripts using SQL and optimise complex sequences of SQL Queries.

Apply here.

3| Big Data Engineer at Thoucentric

Location: Bangalore

Responsibilities:

  • Take ownership of end-to-end data-pipeline including system design and integrating required Big Data tools & frameworks.
  • Implementing ETL processes and constructing data warehouse (HDFS, S3, Azure etc.) at scale.
  • Analyse the source and target system data. Map the transformation that meets the requirements.

Apply here.

Find below the data engineer job openings:

1| Big Data Engineer at IBM 

Location: Bangalore

Responsibilities:

  • Ingest data from files, streams and databases. Process the data with Hive, Hadoop, Spark.
  • Develop programs in Scala, Java and Python as part of data cleaning and processing.
  • Responsible for designing and developing distributed, high volume, high velocity multi-threaded event processing systems using Core Java technology stack.

Apply here.

2| Big Data Engineer at DBS

Location: India

Responsibilities: 

  • Work on Big data Technology and experience on Hive and Impala.
  • Hands-on Experience on Scala/Python and Shell Scripting.
  • Knowledge and experience on Spark.

Apply here.

3| Big Data Engineer at McAfee Software ( India ) Pvt Ltd

Location: Bangalore

Responsibilities: 

  • Designing, building, maintenance, and production support of big data pipelines and Hadoop ecosystem.  
  • Recognise the big picture and take initiative to solve the problem and improve design.
  • Being aware of current big data technology trends & factoring this into current design and implementation.
  • Document architecture, design and present it to the stakeholders.

Apply here.

4| Big Data Engineer – Backend Developer at Mercedes-Benz R&D 

Location: Bangalore

Responsibilities: 

  • Developing and deploying pipeline to ingest various ADAS systems data to the clusters.
  • Develop scalable solutions and improve efficiency and reliability of the existing application.
  • Develop and deploy new features based on the business need.
  • Ideate and improvise on the requirements through continuous innovation and application of new techniques and methods.

Apply here.

5| Big Data Software Engineer at Apple

Location: Hyderabad, Telangana

Responsibilities: 

  • Setup of Kafka brokers, Kafka MirrorMakers and Kafka Zookeeper on hosts including a combination of bare metal systems, VMs and Containers.
  • Setup of Hadoop clusters with related technologies on hosts including a combination of bare metal systems, VMs and Containers
  • Define/develop Big Data technologies, platforms and applications
  • Develop scalable, robust systems highly adaptable to changing business needs.

Apply here.

6| Senior Data Engineer- Big Data, Hadoop, Scala, Spark at Cisco

Location: Bangalore

Responsibilities:

See Also

  • Build Analytics for Cisco Webex Meetings in the Hadoop Big Data ecosystem with the CI/CD, agile methodologies.
  • Problem solving and analytical skills and experience in building analytics using Apache Spark/Flink.
  • Experience working with SQL and NoSQL databases like MySQL/Postgressql/TimescaleDB, ElasticSearch, etc.  

Apply here.

7| Senior Big Data Engineer at American Express

Location: Bangalore

Responsibilities: 

  • Own all technical aspects of software development for assigned applications. Perform hands-on architecture, design, and development of systems.
  • As a senior member of an agile team, help drive consistent development practices wrt tools, common components, and documentation.  Spend 80% of time writing code and testing, and the remainder of time collaborating with stakeholders through ongoing product/platform releases.
  • Identify opportunities to adopt innovative technologies.

Apply here.

8| Data Engineer – Big Data + Java /Python at PayPal

Location: Hyderabad

Responsibilities:

  • Design, develop and maintain key Fraud Detection and prevention product features targeted towards availability, performance, and scalability of services. 
  • Expects a high standard of engineering excellence with some practical experience or at least strong conceptual understanding in building and maintaining internet-scale applications and services.
  • Work directly with our Product Owners and Domain Technical Leads to create outstanding solutions and deliver incredible products. 

Apply here.

9| Senior Data Engineer – Big Data Solutions at Visa

Location: Bangalore

Responsibilities:

  • Lead and participate in the design and implementation of our Analytics infrastructure to align with the vision of Visa Data Platform Infrastructure.
  • Actively participate in all phases of software development lifecycle: analysis, technical design, planning, development, testing/CICD, release, post production/escalation support 
  • Develop large scale multi-tenant software components on the Platform in an Agile based methodology to provide self-service capabilities 

Apply here.

10| Big Data System Development Engineer at AWS

Location: Bangalore

Responsibilities:

  • Utilise your domain expertise to tackle the complexities of build, integration and innovation while providing a reliable, quality stream of releases for today and emerging applications (Spark, Tez, Presto, Flink, etc.) in the big data space.
  • Working with the latest software technologies and paradigms.
  • Comfortable with Java.

Apply here.

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