4706 Data Bricks Jobs - Page 7

Role & responsibilities • Minimum seven plus years of experience in data analytics field • Experience with Azure/AWS Databricks • Experience in building and optimizing data pipelines, architectures and data sets • Excellent experience in Scala or Python, PySpark and SQL • Ability to troubleshoot and optimize complex queries on the Spark platform • Knowledgeable on structured and unstructured data design / modelling, data access and data storage techniques • Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS • Hands on experience in performance tuning and optimizing code running in Databricks environment • Demonstrated analytical and problem-solvin...

Role & responsibilities 8+year experience in design and development of streaming data pipelines. Experience to deal with large stream volumes. Implementation experience ( atleast couple of projects ) in MSK/Flink/Spark/Scala. Very good knowledge on atleast 3 out of the 4 technologies Desirable experience in Databricks, Snowflake or any data warehouse technologies. Experience using AWS native services. If you are comfortable, please share details below to sputtaswamy@v2soft.com. Candidate Name :- Total Experience :- Relevant experience :- Company Name (Permanent/Contract) :- Current CTC :- Expected CTC :- Notice period (Officially) :- Current Location :- Reason for Job Change :-

Design, develop new features for a large-scale cloud data platform using Databricks, snowflake and Fabric, Deeply understand legacy data platforms, and drive their modernization, Provide production support Design data pipelines and data warehouse. Required Candidate profile 5 years in developing and scaling data platforms using Snowflake, databricks, Fabric, Strong Python and SQL Intermediate C# Understanding of modern data architectures such as Data Mesh, Lakehouse

Role & responsibilities 1. Strong experience in AWS Data Engineering 2. Experience in Python/Pyspark 3. Experience Airflow/Databricks

hackajob is collaborating with UnitedHealth Group to connect them with exceptional tech professionals for this role. Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together...

Role & responsibility Type of profiles we are looking for - 10+ years of experience in driving large data programs in Banking. 8-10 years of Experience in implementing Data Governance frameworks. In depth understanding of RDAR, BCBS 239, Financial & Non-Financial risks. Experience in data engineering and good understanding of ETL & data platforms. Experience in Risk Regulatory & Data programs. Experience of creating data architectures in GCP. Working knowledge of databrics. BFS domain experience is a must Knowledge and POC experience of AI and Automation to be able discuss and provide POV Knowledge and POC experience of AI and Automation to be able discuss and provide POV Good Communication ...

Overview The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML and GenAI solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks along with LLM frameworks like LangChain / LlamaIndex, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines. Responsibilities Understand the existing Proof of concepts that were built to showcase capability of LLMs to deliver the accurate response to any natural...

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing opti...

Working with the Business Information Systems team to expose data for visualisation within PowerBi and other sources. Interaction with the wider department to create reporting to help answer questions arising or monitor performance. Developing and maintaining the department reporting suite in Power BI and working across the teams within the department to facilitate efficient use of data. Supporting automation opportunities across the department utilising software such as Zapier, Asana and equivalent tools. About you 3-5 Years Analyst Experience Excellent communication skills with the ability to present to a range of audiences. Possess the ability to present complex processes logically and wi...

Role Proficiency: Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day to day project execution. Outcomes: Interpret the application feature and component designs to develop the same in accordance with specifications. Code debug test document and communicate product component and feature development stages. Validate results with user representatives integrating and commissions the overall solution. Select and create appropriate technical options for development such...

Type of Role Client-facing role Must to Have Skill Senior: 6+ YOE overall in DevOps 2+ hands on databricks DevOps Lead Driving automation CI/CD pipelines optimising deployments Infra + code deployments Collab with data engineers across teams Automation process and DevOps solutions GitHub and Databricks DevOps, AWS Azure DevOps/Integrated with GitHub Control

Role & responsibilities ADB- DE: Primary: Azure, Databricks, ADF, Pyspark/Python Secondary: Datawarehouse, Must Have • 10+ Years of IT experience in Datawarehouse and ETL • Hands-on data experience on Cloud Technologies on Azure, ADF, Synapse, Pyspark/Python • Ability to understand Design, Source to target mapping (STTM) and create specifications documents • Flexibility to operate from client office locations • Able to mentor and guide junior resources, as needed Nice to Have • Any relevant certifications • Banking experience on RISK & Regulatory OR Commercial OR Credit Cards/Retail" Preferred candidate profile Any

Walk-In-Interview Location: Pune Date: 8-November-2025 Role & responsibilities ADB- DE: Primary: Azure, Databricks, ADF, Pyspark/Python Secondary: Datawarehouse, Must Have • 10+ Years of IT experience in Datawarehouse and ETL • Hands-on data experience on Cloud Technologies on Azure, ADF, Synapse, Pyspark/Python • Ability to understand Design, Source to target mapping (STTM) and create specifications documents • Flexibility to operate from client office locations • Able to mentor and guide junior resources, as needed Nice to Have • Any relevant certifications • Banking experience on RISK & Regulatory OR Commercial OR Credit Cards/Retail" Preferred candidate profile Any

Job Description: We are seeking a highly skilled Data Engineering specialist with 8+ years of experience with below mentioned Primary Skills to join our dynamic team. The ideal candidate should be passionate about working on Data Engineering on Azure cloud with strong focus on DevOps practices in building product for our customers. Effectively Communicate and Collaborate with internal teams and customer to build code leveraging or building low level design documents aligning to standard coding principles and guidelines. Key Technical Skills: 5+ years of experience in Azure Databricks with PySpark. 4+ years of experience in Databricks workflow & Unity catalog. 4+ years of experience in ADF (A...

The ML Developer will design, build, & maintain MLmodels & data pipelines powering core business use cases. The role is hands-on with Python for model development, feature engineering, & pipeline automation, leveraging Azure ML, & Azure DevOps. Provident fund

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. Who are we? At Decision Intelligence in Volvo Production Logistics, we work in networks and self-forming teams, making decisions together in our communities where we have data and knowledge. Our cultural transformation brings joy, energy, and results. We always try new things, love teaching and coaching. We explore new technologies and ways of working, evolving every day, every week. We wo...

Job Summary: We are seeking an experienced and dynamic Senior Analyst Data Strategy to join the Strategy & Consulting (S&C) Global Network AI team . In this role, you will help organizations unlock the value of their data by defining and implementing data and AI-driven strategies . You will collaborate with business, technology, and analytics teams to shape data foundations, improve governance, and enable enterprise-scale artificial intelligence and analytics adoption. Key Responsibilities: Design and execute data and AI strategies aligned with client business goals and transformation roadmaps. Conduct data maturity assessments , identify improvement areas, and develop actionable recommendat...

Job Summary: We are seeking an experienced and dynamic Senior Analyst Data Strategy to join the Strategy & Consulting (S&C) Global Network AI team . In this role, you will help organizations unlock the value of their data by defining and implementing data and AI-driven strategies . You will collaborate with business, technology, and analytics teams to shape data foundations, improve governance, and enable enterprise-scale artificial intelligence and analytics adoption. Key Responsibilities: Design and execute data and AI strategies aligned with client business goals and transformation roadmaps. Conduct data maturity assessments , identify improvement areas, and develop actionable recommendat...

Looking for 4-6 years of hand-ons experience with production-level development and operations on AWS or Azure Cloud Develop and maintain infrastructure-as-code using Terraform to deploy and manage Kubernetes clusters (AKS) and Databricks environments Hands-on experience with data pipeline orchestration tools like Azure Data Factory, Amazon data Pipeline, Apache Spark, Databricks Hands-on experience with one or more of stream & batch processing systems: Kafka (Confluent cloud, open source), Apache Storm, Spark-Streaming, Apache Flink, Kappa architecture Experience in architecting right storage strategy for use-cases, keeping data processing, data accessibility, data availability and cloud cos...

The ideal candidate will be an experienced DevOps engineer with a strong proficiency in Azure technologies, including Azure Data Factory (ADF), Databricks, and Kubernetes We value quick learners who can adapt swiftly to new challenges and contribute effectively to our team

Experienced Azure Data Engineer Tech Lead ( Tech Lead ) with 7 to 10 years of expertise Design, develop, and maintain robust data pipelines using Azure Databricks, Azure Data Factory,Pyspark / Python, Azure Data Lake Gen2, and Azure SQL Database. Integrate and manage data from various source systems, ensuring data quality and consistency. Mandatory Skills :Azure Databrick + Pyspark + Azure Data Facory + SQL +CICD + Strong Coding skills.

Hands On with advanced SQL, Python etc. Hands On in data profiling Hands On in working on Cloud like Azure and Cloud DW like Databricks Hands On experience on Scheduling tools like Airflow, Control M etc. Knowledgeable on Big Data tools like Spark (python/scala), Hive, Impala, Hue and storage (e.g. HDFS, HBase) Knowledgeable in CICD processes Bitbucket/GitHub, Jenkins, Nexus etc. Knowledgeable managing structured and unstructured data types

Description: Mandatory skills:oOverall 2-4+ years of exp, Cloud and infra related Skills oMandatory hands-on experience in Azure services like Active directory, Container registry, Keyvault, Storage, Kubernetes, Terraform, PowerShell / Python scripting. oAdministrating Kubernetes cluster oExperience in creating Azure pipelines. oDeveloping Terraform code and automation. oScripting experience with PowerShell/Python. Preferred skills:oExperience in Postgres DB, Azure Data Factory, Data bricks, Data Integration oKafka Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade :B Level :To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) :No R...

Role & responsibilities Design and build a scalable data platform that can ingest, store, manage and stream massive amounts of data while simplifying its analysis and processing to enable rapid development of high-quality data products and services. •Implement and test robust low latency data pipelines for preparing/curating data that will support various data as a service product. •You will work with various cross functional teams to explore data and figure out all the data wrangling needed to clean, curate the data and build the end-to-end data pipeline per requirements. •You will design necessary privacy and security preventive and detective controls into the CICD pipelines of each data p...

RoleAdvanced Data Engineer , LocationHyderabad Hire TypeFulltime Tech Stack: Proficiency in Python, SQL, Databricks, Snowflake Data Modeling, ETL process, Apache Spark and PySpark, data integration and workflow orchestration, real time data processing experience/frameworks, Cloud experience (Azure preferred) About The Role Minimum 5 years of experience in Data Engineering role that involves Analyzing, organizing raw data, and building data systems & pipelines in Cloud Platform [Azure] Experienced in migrating data from on-prem to cloud-based solution architectures [Azure] Extensive experience with Python, Spark and SQL Experience in developing ETL processes. Proficient with Azure Data Lake, ...