133 Data Platform Jobs - Page 6

Dear Candidate, We are hiring a Data Platform Engineer to build scalable infrastructure for data ingestion, processing, and analysis. Key Responsibilities: Architect distributed data systems. Enable data discoverability and quality. Develop data tooling and platform APIs. Required Skills & Qualifications: Experience with Spark, Kafka, and Delta Lake. Proficiency in Python, Scala, or Java. Familiar with cloud-based data platforms. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, ...

Hands-on experience with design, development, and support of data pipelines • Strong SQL programming skills (Joins, sub queries, queries with analytical functions, stored procedures, functions etc.) • Hands-on experience using statistical methods for data analysis • Experience with data platform and visualization technologies such as Google PLX dashboards, Data Studio, Tableau, Pandas, Qlik Sense, Splunk, Humio, Grafana • Experience in Web Development like HTML, CSS, jQuery, Bootstrap • Experience in Machine Learning Packages like Scikit-Learn, NumPy, SciPy, Pandas, NLTK, BeautifulSoup, Matplotlib, Statsmodels. • Strong design and development skills with meticulous attention to detail. • Fam...

Role: Enterprise Architect / Technology Advisors Required Technical Skill Set: Digital Transformation, Architecture Assessment & Definition Experience: 15 to 20 years Location: PAN INDIA Desired Competencies (Technical/Behavioral Competency): Must-Have: 1. Digital Architecture strong experience / knowledge on Digital architecture (Cloud native, Data Platforms etc), Industry 4.0 architectures / IOT, hybrid landscapes architectures, composable architectures 2. IT Architecture & Transformation - Understands organization's current and future technology needs. Can plan, coordinate, and implement technological improvements. Can create architecture principles and standards. Ability to define the ar...

Data Engineer Location - Bangalore We are looking for a skilled and motivated Data Engineer II to join our growing data team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support data-driven decision making across the organization. You will work closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and performance of our data systems. The ideal candidate has a strong foundation in data engineering principles, hands-on experience with modern data technologies, and a passion for solving complex data challenges. Key Responsibilities Work with Product Owners and various stakeholders throughout the ...

Define overall AWS architecture for DTA (compute, networking, storage, data plane, messaging, CI/CD). Create ArchiMate deployment/instance diagrams and map infrastructure to logical components. Required Candidate profile Implement IaC (Terraform / AWS CloudFormation / CDK) for repeatable, auditable environments (dev/test/stage/prod). Build automated provisioning pipelines and guardrails.

6-month extendable Hybrid role in Indore, Noida, Bangalore, Hyderabad, Gurgaon, or Pune. Requires to go 4 days a month in office 5+ yrs healthcare data analysis, SQL & Snowflake expert, skilled in DataOps, automation, and issue resolution.

5+ years of experience in building and maintaining big data platforms using Spark/Scala. Strong knowledge of distributed computing principles and big data technologies such as Hadoop, Spark, Streaming etc. Experience with ETL processes and data modelling. Problem-solving and troubleshooting skills. Working knowledge on Oozie/Airflow. Experience in writing unit test cases, shell scripting. Ability to work independently and as part of a team in a fast-paced environment. Use of version control (Git) and related software lifecycle tooling. Experience in Spark Streaming/Kafka streaming. Experience with software development methodologies including Scrum & Agile. Approaches for optimization, at a s...

**Key Responsibilities:** - Design, develop, and maintain scalable data pipelines and workflows using Azure Pipelines. - Build and optimize data platforms to support analytics and business intelligence initiatives. - Collaborate with stakeholders to understand data requirements and translate them into technical solutions. - Implement best practices for data engineering, including data modeling, ETL processes, and performance optimization. - Ensure data security, integrity, and compliance with industry standards. - Monitor and troubleshoot data systems to ensure reliability and efficiency. - Stay updated on emerging technologies and trends in data engineering to drive innovation. **Requiremen...