27638 Data Modeling Jobs - Page 2

The Data Engineer is responsible for designing and developing data delivery on our data warehouse on AWS. This data will be consumed by visual dashboards/reports that Sony teams use to better understand trends and insights to improve market share/songwriter deals Experience in data architecture including data modeling, data mining and data ingestion Experience with AWS associated technologies (S3 buckets, Glue, Data Pipeline, DMS, RDS, Redshift, Lambda) Knowledge of creating ETL scripts with languages such as Python, Node.js, SQL Experience in data warehousing and big data Experience with Relational databases (SQL Server) Experience working in Agile/Scrum teams

Skill - GCP , BigQuery, Python Location - Coimbatore Experience - 5.5 to 12 Years Job Summary Data Engineer with a focus on Google Cloud Platform (GCP). Hands-on experience with GCP services: Dataflow Pub/Sub Cloud Storage Cloud Composer. Expertise in workflow orchestration using Apache Airflow. Experience with cloud SQL or other relational databases (PostgreSQL preferred). Solid understanding of data modeling ETL processes and streaming/batch data pipelines. Familiarity with DevOps practices CI/CD and containerization (Docker Kubernetes). Responsibilities Key Responsibilities and Skills Build Data Pipelines on GCP: They need hands-on experience with core GCP services used for data processin...

SUMMARY Data Engineer Position Overview Role Summary We are searching for a talented and motivated Data Engineer to join our team. The ideal candidate will have expertise in data modeling, analytical thinking, and developing ETL processes using Python. In this role, you will be pivotal in transforming raw data from landing tables into reliable, curated master tables, ensuring accuracy, accessibility, and integrity within our Snowflake data platform. Experience Overall 6+ yrs of experience with relevant experience of 4+ years Main Responsibilities Design, Develop, and Maintain ETL Processes: o Build and maintain scalable ETL pipelines in Python to extract, transform, and load data into Snowfl...

About the Role: We are looking for a skilled Qlik Developer with 2–4 years of hands-on experience in developing, maintaining, and optimizing business intelligence dashboards and data visualizations using Qlik Sense / QlikView. The candidate will be responsible for transforming business requirements into interactive analytics solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain Qlik Sense / QlikView dashboards and reports. Translate business requirements into technical specifications and visualization solutions. Perform data extraction, transformation, and loading (ETL) from multiple sources using Qlik scripting. Optimiz...

Roles & Responsibilities Provide technical leadership and mentorship to a team of data engineers. Design, architect, and implement highly scalable, resilient, and performant data pipelines, using GCP technologies is a plus (e.g., Dataproc, Cloud Composer, Pub/Sub, BigQuery). Guide the team in adopting best practices for data engineering, including CI/CD, infrastructure-as-code, and automated testing. Conduct code reviews, design reviews, and provide constructive feedback to team members. Stay up-to-date with the latest technologies and trends in data engineering, Data Pipeline Development: Develop and maintain robust and efficient data pipelines to ingest, process, and transform large volume...

Job Description & Skills Required: 1. Good working experience with web frameworks 2. Experience in building RESTful & WebSocket APIs 3. Having good knowledge of basic database fundamentals, data modelling, and optimization 4. A good hands-on experience of integrating with third-party APIs 5. Strong attention to detail and documenting APIs is a must Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Candidates are advised to verify the exact job location directly with the employer before applying.

We are looking for a seasoned Data Engineer with strong experience in designing and building modern data platforms from the ground up. This role involves close collaboration with architects, DevOps, and business teams to establish a scalable, secure, and high-performing data ecosystem. The ideal candidate is hands-on, cloud-savvy, and passionate about data infrastructure, governance, and engineering best practices.Job Title: Data Engineer Profilecode : LOC_DATA_ETL_SSA_1 At bpost group, data is more than numbers its a strategic asset that drives critical decisions across our logistics and e-commerce operations. As we continue to evolve into a more data-driven organization, we are investing i...

About the Role: We are looking for a Data Analyst who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries. More specifically, you will: Engage with clients to understand their business context Understand business processes and map the complete process in visual formats Translate business problems into analytical structures and solve using statistical/ML techniques Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes Formulate ways for businesses to improve Effectively showcase the benefits of the analysis and present findings/ recommendation to the...

Role & responsibilities Primary Skills: PowerBI, SQL, Python, matplotlib Technical skills • 6.5-10 years of Total IT experience in any ETL/Reporting tool • Minimum 5 years of working experience in Power BI tool • Strong proficiency in Power BI: Experience with data modeling, DAX, Power Query, report development, and Power BI Service administration. • Expertise in SQL: Ability to write complex queries, stored procedures, and optimize database performance. Should have strong SQL expertise in writing advanced/complex SQL queries and Data modelling • Proficiency in Python: Experience with data analysis libraries such as Pandas, NumPy, and visualization libraries like Matplotlib. • Excellent anal...

Responsibilities: * Design, develop, and maintain data pipelines using Spark, Python, Scala, and Java. * Write efficient and optimized SQL queries for data extraction, transformation, and loading (ETL) processes. * Work with DataFrames to manipulate and analyze large datasets. * Implement data storage and processing solutions using cloud technologies (preferably AWS or GCP). * Build and maintain real-time data streaming pipelines using MSK/Kafka. * Utilize S3 for data storage and retrieval. * Work with data lake technologies like Iceberg. * Ensure data quality, integrity, and security. * Collaborate with data scientists and other engineers to understand data requirements and deliver solution...

Qualification : B.Tech MCA BCA B.Sc (Computer Science or related field) Notice Period : Immediate Joiners Preferred We Have an Immediate Requirement For Azure Data Engineers at Senior and Lead levels to work on cutting-edge data projects in Azure ecosystem. Primary Skills: Azure Data Factory (ADF) Azure Databricks SQL Development & Optimization Power BI Reports, Dashboards, DAX Data Integration & ETL Pipelines Data Modeling and Transformation Secondary Skills: Azure Synapse Analytics Python PySpark in Databricks DevOps exposure for data pipelines Version control using Git Exposure to Agile & CI/CD Environments Strong communication and client-handling skills Key Responsibilities: Design and i...

Role : AWS Data Engineer Experience: 7 to 12 years Location : Hyderabad Notice Period : Immediate to 7 days Budget : up to 30 LPA Job Overview: We are looking for an experienced Senior Data Engineer to design, build, and optimize scalable, high-performance data platforms using AWS cloud services and Python. The ideal candidate will play a key role in architecting end-to-end data pipelines, driving automation, ensuring data quality, and enabling analytics and AI workloads across the organization. This role requires deep technical expertise in AWS data services, modern data architecture, and a passion for delivering reliable, high-quality data solutions at scale. Required Skills & Qualificatio...

Bachelor's degree in engineering, or a related field Experience in Media domain, Camping, Agile driven projects. Experience in creating project related Techno Functional Role, with must have experience in database models and data mapping. Experience in API driven products, with some knowledge on JSON definitions. Good Communication skills. Communicate effectively with both technical and non-technical audiences.

Responsibilities: Build and maintain Oracle Analytics solutions (OAS/OAC/OBIEE) and deliver optimized, accurate, and secure BI reports and dashboards. Collaborate with stakeholders, troubleshoot issues, and follow latest Oracle Analytics practices.

Role Overview: You will be responsible for ensuring effective Project Management, Project Proposals preparations, Design, Documentation, Development, Validation, Solution Architect, and Support activities in line with client needs and architectural requirements. Additionally, you will ensure continual knowledge management and adherence to organizational guidelines and processes. Key Responsibilities: - Configure/develop STEP Solution components such as business rules, Workflows, Import, Exports, Web UIs, Endpoints, etc. in STIBO MDM - Demonstrate strong experience in data modeling and data migration - Work on data profiling/data quality - Utilize technical knowledge in Core Java & XML - Lead...

As a Senior Architect - Data Modeler, you will play a pivotal role in shaping the data architecture of enterprise systems. Your deep expertise in Oracle database development and PL/SQL will be crucial as you design and optimize complex data models. Leading and mentoring a team of developers will also be a key responsibility. You will translate business requirements into scalable data solutions, ensuring data integrity and driving performance improvements across database systems. This hands-on leadership role requires technical excellence and team management skills, collaborating closely with stakeholders to meet current and future data infrastructure needs. Responsibilities: - Design and imp...

As a Senior Data Engineer at Hitachi Solutions, you will play a crucial role in delivering high-quality modern data solutions by collaborating with the team and clients. Your projects will vary from short-term client assessments to long-term engagements with large, diverse teams. Key Responsibilities: - Hands-on experience in Architecture, Data Science, or a combination of both - Proficiency in Azure, including provisioning, configuring, and developing solutions in ADL, ADF, ADW, etc. - Deep understanding of database structure principles - Working experience with MS SQL Server, Oracle, or a similar RDBMS platform - Building distributed data processing for big data batch or streaming pipeline...

As an experienced Database Administrator, your role will involve the following responsibilities: **Role Overview:** You will contribute to the design and implementation of scalable and secure database solutions that align with organizational needs. Working collaboratively with IT and development teams, you will support the development of reliable and efficient database architectures. Your expertise in database design best practices will be crucial in enforcing standards across development and production environments. Additionally, you will play a key role in evaluating and adopting new database tools, technologies, and frameworks under the guidance of technical leads. **Key Responsibilities:...

As a Data Modeler, you will be responsible for analyzing and translating business needs into long-term solution data models. You will evaluate existing data systems and have extensive experience in the US Healthcare domain. Your role will involve working closely with the development team to create conceptual data models and data flows. Additionally, you will develop best practices for data coding to ensure consistency within the system. Your key responsibilities will include: - Reviewing modifications of existing systems for cross-compatibility. - Implementing data strategies and developing physical data models. - Updating and optimizing local and metadata models. - Evaluating implemented da...

As a Snowflake Developer with Oracle Golden Gate/Data Engineer at Oracle FSGIU - Finergy, you will be responsible for various key tasks including: - **Snowflake Data Modeling & Architecture:** Design and implement scalable Snowflake data models using best practices such as Snowflake Data Vault methodology. - **Real-Time Data Replication & Ingestion:** Utilize Oracle GoldenGate for Big Data to manage real-time data streaming and optimize Snowpipe for automated data ingestion. - **Cloud Integration & Management:** Work with AWS services (S3, EC2, Lambda) to integrate and manage Snowflake-based solutions. - **Data Sharing & Security:** Implement SnowShare for data sharing and enforce security m...

As a B.E./B.Tech in Computer Science with 0-2 years of experience, you should have deep knowledge of Computer Science fundamentals and a strong belief in Object Oriented Programming. Your interest and expertise in data structure and data modeling will be crucial for this role. Additionally, you should be proficient in Core Java and/or Python and have experience in Thrift, Mongodb, MySQL, Rabbit MQ, and Elastic Search. Your ability to understand and debug large and complex code bases will be highly valued. Good written and spoken communication skills are essential for effective collaboration. Key Responsibilities: - Passionately solve problems and find optimal solutions - Utilize your object-...

As a Cloud Associate in CloudOps, your role involves setting up and maintaining the monitoring infrastructure, ensuring the health, performance, and availability of systems, networks, applications, and services. You will collaborate with various teams and implement performance improvements for optimal system performance. Your responsibilities include incident detection and response, alerting and escalation, performance analysis, capacity planning, documentation and reporting, continuous improvement, as well as collaboration and communication. Key Responsibilities: - Set up and maintain monitoring infrastructure, including selecting and configuring monitoring tools, agents, and sensors. - Mon...

As a GenAI Engineer (Recent Events) at NTT DATA, you will play a crucial role in building and deploying GenAI-powered solutions for Hilcos Corporate Intelligence platform. Your strong programming skills, hands-on experience with AI/LLM development, and expertise in data integration will be essential to ensure seamless ingestion and readiness of diverse datasets for advanced AI workflows. **Key Responsibilities:** - Develop and implement AI/GenAI components for prospect watchlist automation, including coding for LLM-based features and intelligent agents. - Design and build data pipelines to ingest, clean, and transform data from internal systems and external APIs (e.g., CapIQ, Bankruptcy Data...

As an Informatica Manager at EY-GDS D&A (Data and Analytics) team, your role involves overseeing data integration projects, leading a team, designing data integration architectures, developing ETL processes, and optimizing performance. You will work with Informatica PowerCenter, IDMC, Oracle, DB2, PL/SQL, and SQL technologies to deliver impactful solutions in various industries like Banking, Insurance, Manufacturing, Healthcare, Retail, Supply Chain, and Finance. **Key Responsibilities:** - **Project Management:** - Oversee planning, execution, and delivery of data integration projects using Informatica tools. - Define project scope, objectives, and deliverables in coordination with stakehol...

You have a Bachelor's degree in Computer Science, Information Technology, or a related field and possess 7-10 years of experience in Power BI development, data analysis, and business intelligence. Your skills include proficiency in Power BI (Reporting, DAX, Modeling, Power Query), data analysis and visualization, data modeling and data warehousing concepts, collaboration, communication skills, and strong problem-solving abilities.,