6138 Data Bricks Jobs - Page 15

Big Data and Cloud Data Engineer - Officer Who we are looking for Role Overview A Data Engineer in the cloud is primarily responsible for designing, building, and managing scalable data infrastructure and pipelines. They work to ensure that data is accessible, reliable, and processed efficiently for various business needs. This role involves a mix of software engineering, data warehousing, and big data technologies. The key responsibilities include developing, constructing, testing, and maintaining data architectures (such as databases and large-scale processing systems). They are also responsible for aligning these architectures with business requirements, ensuring data quality and governan...

As an Associate Data Scientist in Chennai, your role involves developing analytics models using specialized tools based on the business problem and available data. You will be responsible for identifying the right set of models, developing the necessary code/packages, and evaluating the validity of the models from both scientific and business perspectives. Additionally, you will support the Data Science Team in designing and executing analytics projects, collaborating with stakeholders and subject matter experts to deliver on project tasks and deliverables. Key Responsibilities: - Develop analytics models using specialized tools - Identify and develop the right set of models - Evaluate model...

Job Title: MLOps Engineer Company: Calsoft Inc. Experience: 5 to 7 Years Location: Kolkata / Bengaluru / Indore / Pune Employment Type: Full-Time Notice Period: Immediate to 7 Days Joiners Only Job Description: Calsoft Inc. is looking for an experienced MLOps Engineer to join our growing AI/ML team. The ideal candidate will have strong hands-on experience in building, deploying, and maintaining machine learning models in production environments, along with a solid understanding of MLOps best practices. Key Responsibilities: Build, deploy, monitor, and maintain ML models in production environments Implement end-to-end MLOps pipelines for training, validation, deployment, and monitoring Collab...

Job description Hiring for Azure Databrick Engineer Mandatory Skills: Databrick, Data lake, Azure Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and d...

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Elevate your software engineering career with us, where you'll collaborate with a dynamic team to build impactful applications. We value your Python and Data Bricks expertise and provide a supportive environment for skill expansion. Join a culture that celebrates innovation, diversity, and continuous learning. Job responsibilities Execute software solutions, design, development, and technical troubleshooting to build innovative applications Create secure, high-quality production code and maintain efficient algorithms Produce architecture and design artifacts for complex applicati...

Architect level - 8+ years in architecture Data bricks data vaults data azure data migration data governance s3 snowflake Finance/Insurance If interested please share me your updated cv to this email--ashiq.s@technogenindia.com

Skills required Data & SQL Expertise Strong SQL experience, including writing and optimizing complex queries across distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Data Engineering & Pipeline Development Experience with data pipeline and workflow management tools such as Apache NiFi or Apache Airflow Expert-level proficiency in at least one programming language: Python , Scala or Java , Hands-on experience with data processing technologies such as Apache Spark or Flink BI/Analytics Tools Demonstrated experience with tools such as MicroStrategy , Tableau , Business Objects , Looker , etc. Preferred Technology Stack Category Technologies Languages Scala, Python, SQL...

Key Skills: End-to-end data architecture solutions in Cloud (preferably Azure) Data Modelling Lakehouse Architecture Knowledge Data Warehousing Data Lake, Data Factory, Databricks and Azure SQL Data governance, metadata management, data lineage, and master data management (MDM) Expert level knowledge on PySpark, Python and SQL

Note: Please apply if you are able to join in 1 month or less Roles & Responsibilities: Develop, optimize, and maintain complex SQL queries , stored procedures, and data pipelines. Work with Databricks for data processing, ETL/ELT workflows, and collaborative analytics. Manage and integrate datasets within Snowflake and Oracle environments. Ensure data quality, accuracy, and reliability across all data operations. Collaborate with business and analytics teams to understand requirements and translate them into technical solutions. Support performance tuning, debugging, and troubleshooting across data platforms. Contribute to documentation, best practices, and process improvements. (Optional/G...

About the Role Youll lead the architecture, development, and deployment of next-generation agentic AI systems that transform enterprise operations. These intelligent agents will autonomously orchestrate workflows, analyze real-time data, and embed decision-making across domains like finance, sales, and operations. Youll guide cross-functional teams, mentor engineers, and ensure technical excellence across all stages of delivery. Microsoft AI Foundry will be a key platform for agent development, and Copilot Studio may be used optionally for few use cases. Day-to-Day Work Responsibilities Architect and lead development of scalable, production-grade agentic AI systems. Design serverless, event-...

We are hiring an AWS + Elasticsearch Data Engineer with strong experience in building scalable data pipelines and transformations. The role involves working on Medallion-style architecture , ETL frameworks , and DBT-based modeling to deliver analytics-ready datasets. You will collaborate with business teams as a technical advisor , so strong communication skills are essential. Key Responsibilities Design and manage data pipelines using AWS services (S3, Lambda, Glue) and orchestration tools. Implement Elasticsearch (ELK stack) for data indexing, query optimization, and cluster management. Develop ETL workflows and automate transformations using DBT . Apply data modeling and governance best p...

Role & responsibilities Minimum 10+ yrs. of exp, Min 5+ Yrs exp in Data modeling Conformed & Unified Data Modeling (Common Data Model) experience Experience with Near Real Time data modeling Data Modeling done in Databricks/DBX exposure is preferred

Axtria: -Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. Axtria enables life sciences organizations to transform the product commercialization journey and deliver much-improved healthcare outcomes for patients worldwide. We are acutely aware that our work impacts millions of people and are incredibly passionate about the improvement we can bring to patients lives. Our focus is on delivering solutions that help pharmaceutical, medical device, and diagnostics companies complete the journey from data to insights to action and get superior returns from their investments. As a participant of the United Nations Global Compact, Axtria is...

Greetings from TCS!!! Come and join us for an exciting career with TCS!!! Date: 20th December 2025 Venue: Hyderabad - Synergy park, Non SEZ Role: Azure data Desired Experience Range: 5-10 years Location: Hyderabad Must Have Experiences and Skills: 3+ years of relevant experience in Pyspark and Azure Databricks. Proficiency in integrating, transforming, and consolidating data from various structured and unstructured data sources. Good experience in SQL or native SQL query languages. Strong experience in implementing Databricks notebooks using Python. Good experience in Azure Data Factory, ADLS, Storage Services, Serverless architecture, Azure functions. Advanced working knowledge in building ...

Design, develop, and implement solutions to complex business problems. Collaborate with stakeholders to understand their needs and requirements. Develop and maintain standardized solutions that meet business needs. Identify and implement technologies and platforms to drive business growth. Lead cross-functional teams to achieve business objectives. Demonstrate leadership and accountability for managing risk and strengthening controls. Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applyi...

Kaeyrus Private Limited is looking for Senior Data Engineer (Azure & Python) to join our team Architect, develop, and optimize cloud-native data pipelines and big data ecosystems using Azure technologies. Design and implement robust data ingestion, transformation, and enrichment workflows, ensuring high data quality, reliability, and consistency. Embed key non-functional requirements such as security, performance, scalability, disaster recovery, and compliance into solution designs. Evaluate and prototype modern data technologies and lead proofs of concept (POCs) to drive continuous platform improvement. Collaborate with Data Governance teams to maintain high-quality metadata, lineage tracki...

Responsibilities: * Design, develop, and maintain Azure data solutions using Databricks, Data Factory, Datalake, Synapse, and Data Warehouse. * Optimize performance through ETL processes with SQL and Python.

Job description Company overview Accordion is a global financial consulting and technology firm helping CFOs and their teams drive value creation. Rooted in private equity rigor and powered by data, analytics, and AI, we partner with companies across industries to turn insight into impact. Accordion works at the intersection of Private Equity sponsors and portfolio companies management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data, analytics and AI. Accordion is headquartered in New Yor...

Job description Company overview Accordion is a global financial consulting and technology firm helping CFOs and their teams drive value creation. Rooted in private equity rigor and powered by data, analytics, and AI, we partner with companies across industries to turn insight into impact. Accordion works at the intersection of Private Equity sponsors and portfolio companies management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data, analytics and AI. Accordion is headquartered in New Yor...

Job description Company overview Accordion is a global financial consulting and technology firm helping CFOs and their teams drive value creation. Rooted in private equity rigor and powered by data, analytics, and AI, we partner with companies across industries to turn insight into impact. Accordion works at the intersection of Private Equity sponsors and portfolio companies management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data, analytics and AI. Accordion is headquartered in New Yor...

Roles and Responsibilities Design, develop, and maintain large-scale data pipelines using Airbyte, BigQuery, Databricks, Firestore, GCP Cloud Storage, PySpark, SQL, Terraform. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop CI/CD pipelines using Unity Catalog to automate testing and deployment of data engineering projects. Troubleshoot complex issues related to data processing workflows and provide technical guidance to junior team members. Desired Candidate Profile 10-13 years of experience in a similar role as a Technical Lead or Senior Data Engineer. Strong expertise in at least two programming languages: Python...

Overview Our team is responsible for building and maintaining the Fund ESG Ratings platform, a business-critical component that powers MSCI’s ESG offerings at the fund level. We manage the end-to-end lifecycle of fund-level ESG data—from ingestion, transformation, and scoring, to final delivery to internal consumers and external clients. Key responsibilities of the team include: Designing scalable data pipelines using Databricks, PySpark, and BigQuery. Supporting regulatory-compliant ESG scoring and reporting logic. Partnering with ESG Research and Index teams to translate methodology changes into platform features. Ensuring data quality, platform stability, and SLA adherence. Driving automa...

Design and optimise dimensional models for reporting and analytics, including mini dimensional models in SQL Migrate data transformation steps from PowerBI to data bricks and roll out DBT for scalable workflows. Rebuild and maintain core datasets to ensure accuracy and performance across systems. Producing Conceptual, Logical and Physical Data Models and related artefacts to specified standards Producing Entity Relationship Diagrams and specifying and documenting the relationships between entities, specifying and documenting the data attributes for each entity Agreeing entity and attribute definitions with the respective stakeholders Simultaneously being part of several project teams in orde...

Key Responsibilities: Design, develop, and maintain robust ETL/ELT pipelines using Python and SQL. Work with Snowflake to build scalable data models and optimize query performance. Implement CI/CD workflows using Jenkins and Bitbucket for automated data pipeline deployment. Collaborate with data analysts, scientists, and business stakeholders to understand data requirements. Ensure data quality, integrity, and security across all data systems. Monitor and troubleshoot data pipeline issues and implement proactive solutions. Maintain documentation for data processes, architecture, and workflows. Qualifications: 4+ years of experience in data engineering or related roles. Strong proficiency in ...

Design and maintain robust bigdata solutions on Databricks. Partner with analytics teams to deliver clean, timely data and insights. Required Candidate profile Build scalable data pipelines, optimize Spark jobs, design Delta Lake architectures, integrate with cloud storage, implement CI/CD &automation,distributed computing, containerization Docker/Kubernetes