Extras:
1| Senior Technical Architect at Thoucentric
Location: Bangalore
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:
- 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.
