Data Engineer

Bangalore, IN
Software Engineering
Professional

Data Engineer

Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk

Your Role and Responsibilities
We’re looking for an experienced, motivated hands-on data engineer who brings ideas about handling largescale enterprise applications leveraging data platforms; As a Senior software engineer, you’ll apply your deep expertise in designing, developing, delivering, and supporting a world class software and data platform. You will take full ownership of delivering high-impact big data platform that is robust, scalable and support production-grade applications and services for the supply chain space. You will leverage open source and cloud storage tools to build and develop reusable components and architecture that can enable the data science teams to provide best in class AI/ML and data analysis environment.
You will also help in providing technical direction and develop strategies for long-term platform growth. You need to be versatile, display leadership qualities and open minded to take on new problems that our customers face.
The day today responsibilities include,

Analyzes and designs reusable components of the data platform and services required to support the data storage, data schema, data orchestration.
Design, develop, troubleshoot, and scale the data pipelines required to support the various analytics and AI/ML workloads.

Understand application produced artifacts, design the entire pipeline of schema definition, efficient storage and query of various entity objects.
Translate complex technical and functional problems into detailed designs
Partner and work with data scientists in the team in taking data science algorithms and integrating them efficiently for high scale production application.
Provide senior level support and mentoring by evaluating product enhancements for feasibility studies and providing completion time estimates
Develop high quality unit, tests functional tests and integration tests supporting the data extract, transform, load pipelines
Ensure product quality by participating in design reviews, code reviews and working with the team for end-to-end validation of the entire product
Design and develop various data validation strategies ensuring that robust , good quality data is provided to data science teams for model development and advanced analytics
Define data governance, data auditing policy and strategies for compliance and security controls
Write and maintain technical documentation for the various projects. Review product user documentation for technical accuracy and completeness

Required Technical and Professional Expertise

7-8 years of experience in developing enterprise applications using Java, Python, spark and related technologies with 2+ years a focus on DataEngineering, DataOps, MLOps
Software development strategies for low latency, high throughput softwares
Hands-on experience with common distributed processing tools and languages Python, Spark, Hive, Presto
Deep understanding of data pipelines, data modeling strategies, schema management
Experience with specialized data architectures like data lake, data mesh and optimizing data layouts for efficient processing.
Hands on Experience with streaming platforms and frameworks like Kafka, spark-streaming
Strong understanding of advanced algorithms used in design and development of enterprise grade software
Familiarity with pipeline orchestrator tools like Argo, Kubeflow, Airflow or other open source
Familiarity with platforms like Kubernetes and experience building on top of the native platforms
Good written and verbal communication skills
Ability to provide guidance to less experienced team members.“

Preferred Technical and Professional Expertise

Proficiency in Java, Python, Spark, and related technologies
Hands-on experience with common distributed processing tools and languages Python, Spark, Hive, Presto
Familiarity with pipeline orchestrator tools like Argo, Kubeflow, Airflow or other open source
Familiarity with platforms like Kubernetes and experience building on top of the native platforms

Finde heraus, wie es ist, bei IBM zu arbeiten.

Über den Geschäftsbereich

About Business Unit

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

Life@IBM

This job requires you to be fully COVID-19 vaccinated prior to your start date and proof of vaccination status will be required before your start date. During the Onboarding process you will be asked to confirm your vaccination status, in case you are unable to get vaccinated for any reason, you can let us know at that stage. Please let us know if you are unable to be vaccinated due to medical or religious reasons. IBM will consider such requests on a case by case basis subject to submission of required proof by the candidate before a stipulated date.

Your Life @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

Unternehmenskultur

About IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Details zur Stelle

Location Statement

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.

For additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBM

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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