DataOps Lead - Bengaluru, Karnataka

As Dataops Lead, you will be responsible for managing and designing scalable data pipelines. · ...

As Dataops Lead you will be responsible for managing designing highly scalable and Available solution for data pipelines that provides the foundation for collecting storing modelling and analyzing massive data sets from multiple channels. · ...

We are hiring a Lead DataOps Engineer to take on an essential role within our Digital Transformation Organization. · This position lets you engage with advanced technology in a constantly evolving environment. You will supply to developing outstanding solutions that boost busines ...

We are seeking an experienced DataOps Lead Engineer to join our team! · The successful candidate will be responsible for designing and maintaining scalable ETL/ELT pipelines using Azure Data Factory (ADF) or Databricks Workflows. · They will also implement and optimize Medallion ...

Lead a DataOps team to build scalable ETL/ELT pipelines using Pentaho/StreamSets, Kafka, MySQL & Snowflake; ensure data quality, monitoring, security, cloud integration and performance optimization. · ...

Your Responsibilities: · Lead growth and performance of the Operations Management software portfolio, including IIoT platform and solutions, Industrial DataOps, MES, EAM, and Industrial AI solutions among others. · Develop strategy to achieve plan. · Develop integration strategy ...

We are seeking a highly skilled ETL Data Architect to lead our data architecture. · ...

We are looking for Lead AWS Infrastructure Devops who can join immediately. · ...

We collaborate with some of the world's leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. · ...

We are seeking a seasoned Lead Data Engineer to architect, build, and optimize next-generation data platforms. · ...

We are seeking a Data & AI Lead for our small Innovation Hub to deliver proofs of concept (PoCs) and reusable assets for various use cases within Financial Services with a focus on GRC domains (AML Financial Crime Risk Compliance). · ...

This person will lead mentor and develop a team of data engineers on cloud technology products projects and initiatives.Work with all customers both internal and external to make sure all data related features are implemented in each solution. · ...

This position reports to Digital Solution Engineering Manager and is responsible for enhancing the Quality Engineering framework across DataOps, Edge, Visualization, Packaging and IAM within ABB Genix. · ...

We're Hiring: DevOps & Data Engineering Specialist (Snowflake) · ...

Promote DataOps approach to automate the provision of data, testing and monitoring and shorten CI/CD. Create dashboards and other tools required to efficiently monitor our data and ML infrastructure, pipelines, ETL and analytics delivery processes. · ...

The AP Business Manager, Production Operations Software will lead business growth of Rockwell Production Operations Software portfolio.This portfolio provides solutions to our customers that address IIOT solutions, Industrial DataOps, Edge to Cloud portfolio, Manufacturing Execut ...

Roles & Responsibility · Skill · Databricks, AWS, Scala, Pyspark · Band in Infosys · 5 · Role · Technology Lead · Qualification · BE · Job Description · 9+ years of industry experience including cloud technologies. · Very strong hands-on experience in Databricks with AWS cloud s ...

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. · Lead growth and performance of the Operations Management software portfolio. · ...

We are looking for a strategic, hands-on engineering leader to build high-scale data platforms and work directly with Fortune 500 clients as a DataOps Lead. · Design and manage highly scalable, fault-tolerant data pipelines that support massive data ingestion, modelling and analy ...

Build and scale high-performing data engineering and ML engineering teams (15+). Define and implement MLOps practices to convert experiments into production models with robust deployment, monitoring, and retraining workflows.Design and launch a centralized decisioning platform th ...