4749 Data Bricks Jobs - Page 36

Job Description: Data Engineer Databricks Platform Position Overview We are looking for an experienced Data Engineer to design and implement a scalable data platform using Databricks . The ideal candidate will have strong expertise in building modern data architectures, integrating diverse data sources (SQL Server, MongoDB, InfluxDB), and enabling analytics and reporting use cases. Key Responsibilities Design, build, and maintain a robust data platform on Databricks. Develop efficient ETL/ELT pipelines to ingest data from SQL Server, MongoDB, and InfluxDB into Databricks Delta Lake. Implement real-time and batch data ingestion strategies using tools such as Kafka, Azure Event Hubs, or simila...

Role: Senior Data Engineer Description: The Senior Data Engineer plays a pivotal role within our Data Engineering team, leading the design, development, and maintenance of robust data pipelines and infrastructure. This position involves managing multiple projects, collaborating with cross-functional teams, and delivering high-quality data solutions that align with business objectives. The ideal candidate brings extensive experience in data engineering, with expertise in technologies such as PySpark, AWS Glue, and S3, and a proven ability to lead complex data initiatives. To excel in this role, you must be a proactive problem-solver with excellent communication skills, capable of translating ...

4 Years Data Engineering Experience 5 years of consulting experience Completed Data Engineering Professional certification & required classes Minimum 2-3 projects delivered with hands-on experience in Databricks Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark on Databricks Experience in Spark and or Hadoop, Flink, Presto, other popular big data engines Familiarity with Databricks multi-hop pipeline architecture

2 Years Data Engineering Experience, 3 years of consulting experience Completed Data Engineering Associate certification & required classes Minimum 1 project delivered with hands-on experience in development on Databricks Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark on Databricks SQL delivery experience, and familiarity with Bigquery, Synapse or Redshift Proficient in Python, knowledge of additional databricks programming languages (Scala)

Immediate Joiners & Ready to Relocate to Madurai Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale data processing pipelines using PySpark on Azure Databricks. Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions that meet business needs. Troubleshoot complex issues related to big data processing, ETL processes, and SQL queries. Ensure scalability, performance, and reliability of the system by monitoring logs, debugging techniques, and implementing optimization strategies. Stay up-to-date with industry trends in big data technologies such as Hadoop ecosystem (HDFS), Spark (PySpark), AWS Glue.

Job description Hiring for Databricks with experience range 2 years & above Mandatory Skills: Databricks Education: BE/B.Tech/MCA/M.Tech/MSc./MS 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 b...

Essential for this role: Education and Qualifications: • Bachelor’s degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent. • 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...

Looking for 4+ exp.

Dear Candidate, We have opening for Senior ERP Data Modeler please find the detailed description below- Company Details : Royal Cyber is a trusted global IT consulting & digital transformation partner, empowering enterprises for over two decades to evolve with agility, security, and innovation. Founded in 2002, Royal Cyber has built a strong legacy of helping organizations modernize legacy systems, embrace cloud-native technologies, and adopt AI-driven solutions. With 20+ years of delivering business-critical digital projects, we serve clients across USA, Canada, UK, UAE, KSA, India, Australia, and more with innovation hubs and delivery centers strategically located to support 24/7 operation...

Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. Thi...

About the Opportunity Job TypeApplication 31 July 2025 TitlePrincipal Data Engineer (Associate Director) DepartmentISS LocationBangalore Reports ToHead of Data Platform - ISS Grade 7 Department Description ISS Data Engineering Chapter is an engineering group comprised of three sub-chapters - Data Engineers, Data Platform and Data Visualisation that supports the ISS Department. Fidelity is embarking on several strategic programmes of work that will create a data platform to support the next evolutionary stage of our Investment Process.These programmes span across asset classes and include Portfolio and Risk Management, Fundamental and Quantitative Research and Trading. Purpose of your role Th...

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve cl...

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve cl...

Job Description: Designation: Sr. MLOps Engineer Location: Hyderabad Advanced Analytics Center Role Value Proposition Bridging the gap between machine learning and operational excellence within a Advanced Analytics team. By automating the deployment, monitoring, and maintenance of machine learning models, this role ensures that data-driven insights are seamlessly integrated into business processes. Collaboration with data scientists and engineers, the ML Ops Engineer enhances model performance, scalability, and reliability. Drive efficiency and innovation, fosters a culture of continuous improvement, enabling the organization to leverage machine learning for data decision-making. Job Respons...

Job Description: Cloud platform: AWS, Snowflake AWS: Athena, AWS Glue, Glue workflow, Lambda, S3, EC2, EBS, CloudWatch, VPC, DynamoDB, API Gateway, IAM, CloudFormation, Kinesis, SQS, SNS, Step Functions, QuickSight, Redshift. Programming languages: Python, PySpark, SQL, Java Scheduler tool: Talend, Airflow Infrastructure as a code tool: Terraform Ticketing Tools: Jira Operating System: Linux, Windows. Responsibilities: Perform data engineering activities that include data modeling, analysis, cleansing, processing, extraction and transformation. Build batch or near real time ETL data pipelines using Talent, AWS Glue, Lambda, Kinesis, SQS. Write ETL scripts using Python/Pyspark and SQL. Also, ...

Experience of developing in the Azure Modern Data Warehouse platform e g Azure Data Lake Azure Data Factory Azure Databricks Databricks Delta Lake etc 3 or more years’ experience in SQL 2 or more years’ experience working as a Data Engineer

Experience of developing in the Azure Modern Data Warehouse platform e g Azure Data Lake Azure Data Factory Azure Databricks Databricks Delta Lake etc 3 or more years’ experience in SQL 2 or more years’ experience working as a Data Engineer

Well versed in Azure Data Engineering: Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse, Databricks, SQL Database etc. Hands-on experience in programming languages like Python/Pyspark and SQL

Well versed in Azure Data Engineering: Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse, Databricks, SQL Database etc. Hands-on experience in programming languages like Python/Pyspark and SQL

Data Pipelines & ETL Processes: Snowflake Data Modeling: Cloud & On-Prem Solutions: Design and manage cloud-based data infrastructure (AWS, Azure, GCP), Real-Time Data Processing:

Data Pipelines & ETL Processes: Snowflake Data Modeling: Cloud & On-Prem Solutions: Design and manage cloud-based data infrastructure (AWS, Azure, GCP), Real-Time Data Processing:

The key responsibilities of an Azure data engineer include designing and implementing data storage solutions with data bricks data factory and python strong experience .

The key responsibilities of an Azure data engineer include designing and implementing data storage solutions with data bricks data factory and python strong experience .

The key responsibilities of an Azure data engineer include designing and implementing data storage solutions with data bricks data factory and python strong experience .

Well versed in Azure Data Engineering: Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse, Databricks, SQL Database etc. Hands-on experience in programming languages like Python/Pyspark and SQL