6138 Data Bricks Jobs - Page 21

About The Role Skill required: Network Billing Operations - Problem Management Designation: Network & Svcs Operation Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years What would you do? Helps transform back office and network operations, reduce time to market and grow revenue, by improving customer experience and capex efficiency, and reducing cost-to-serveExperience in reviewing contract and suggesting changes in supportable language.Proficiency in data analysis tools and techniques, such as SQL, Databricks, Palantir. Experience in Machine learning , Gen AI Excellent analytical skills with a keen attention to detail and the ability to identify patterns and anomalies i...

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic pl...

Your role and responsibilities As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the pl...

Your role and responsibilities As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform * Responsibilities * Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS * Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on ...

We are looking for a skilled Azure Data Engineer with 6-8 years of hands-on experience in designing, developing, and optimizing large-scale data platforms on Microsoft Azure. The ideal candidate will possess deep expertise in Azure Databricks, Azure Data Factory, Delta Lake, and modern data engineering practices. Roles and Responsibility Design, build, and maintain end-to-end data pipelines using Azure Databricks (PySpark/Scala), ADF, and Delta Lake. Implement ETL/ELT workflows with robust logging, monitoring, orchestration, and error-handling capabilities. Develop high-performance data ingestion frameworks for structured, semi-structured, and unstructured data. Design and maintain data mode...

We are looking for a skilled Senior Data Solutions Manager with 9 to 14 years of experience to lead our digital transformation journey and drive the adoption of analytics products. This role is based in Mumbai. Roles and Responsibility Lead enhancements to the Datawarehouse and integrate new data sources seamlessly. Chair operational and service review meetings with senior country stakeholders. Drive adoption of Data & Analytics products across regional teams. Collaborate with CRM, Google Analytics, and Data Product teams for system integration. Manage stakeholder communications and ensure timely issue resolution. Refine user stories with Business Analysts and support product release plannin...

We are looking for a highly skilled and experienced Quantitative Analyst to join our team at PureSoftware. The ideal candidate will have a strong background in quantitative analysis and a passion for driving business growth through data-driven insights. Roles and Responsibility Develop and implement complex financial models to analyze market trends and predict future outcomes. Collaborate with cross-functional teams to identify business opportunities and optimize strategic decisions. Design and execute experiments to test hypotheses and validate results. Analyze large datasets to extract meaningful insights that inform business strategies. Communicate findings and recommendations to senior m...

We are looking for an experienced Data Engineer (Azure, Databricks, Snowflake) for a one-time project 2 months (<30 hours/week). The ideal candidate should have 3–5 years of experience Intrested- priyam@successr.in Required Candidate profile Skills Required: Databricks, PySpark, ADF, Snowflake, SQL, Python, big data processing &.building and managing scalable data pipelines using Azure Data Factory, Databricks (PySpark), SQL, Snowflake.

Qualifications Bachelors or Master’s in Computer Science, Information Systems, or related field. 8+ years in data modeling or enterprise data architecture. Strong experience with modeling tools such as Erwin, ER/Studio, PowerDesigner, or SQLDBM. Deep understanding of dimensional modeling (Kimball/Inmon), normalization, and schema design for modern warehouses. Experience designing models for Snowflake, Dremio, Redshift, or Databricks environments. Strong SQL and schema design skills, with ability to validate model implementations. Familiarity with data governance, metadata management, and business glossary tools (e.g., Collibra, Alation, Purview). Excellent communication skills — able to work...

CACI International Inc is an American multinational professional services and information technology company headquartered in Northern Virginia. CACI provides expertise and technology to enterprise and mission customers in support of national security missions and government transformation for defense, intelligence, and civilian customers. CACI has approximately 23,000 employees worldwide. Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn. Founded in 2022, CACI India is an exciting, growing and progressive business unit of CACI Ltd. CACI Ltd currently has over 2000 intell...

Skillset Required • 5+ years of experience in software development, including design, development, testing, and deployment. • Strong programming skills in Python, Java, C++, SQL etc. • Deep expertise with cloud platforms like AWS, Azure, or GCP

Role & responsibilities Validate ETL data flows, data transformation, and data quality across Databricks, Azure Data Factory, and Power BI. Conduct data validation, reconciliation, and performance benchmarking for large datasets. Test Azure Functionsbased workflows to verify automation logic and reliability. Design and execute load and performance tests using BlazeMeter and JMeter to assess system scalability. Leverage AI tools for test case generation, debugging, and automation optimization. Preferred candidate profile Strong background in ETL / data pipeline testing and data validation Hands-on experience with Databricks, Azure Data Factory, and Power BI validation Proficiency in JMeter/Bl...

Technologies: Snowflake, Databricks, Python, SQL Proficient in developing and executing complex data processing and analytics workflows using Azure Databricks . Strong understanding of Databricks architecture , including clusters, notebooks, secrets management, and storage solutions such as DBFS and Azure Data Lake Storage. Hands-on experience with Databricks notebooks , utilizing advanced features of Python, Scala, and SQL for data manipulation, transformation, and analysis. Skilled in using Databricks libraries , leveraging pre-built functions and APIs for advanced analytics and data engineering tasks. Experienced in working with multiple API integrations for data ingestion and automation....

Roles and Responsibilities Design, develop, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Azure Data Lake Storage. Degree in Computer Science, IT, or similar field; a Masters is a plus. Hands-on experience with Python and Pyspark Or Hands-on experience with Spark and SCALA. Great numerical and analytical skills. Working knowledge of cloud platforms such as MS Azure, AWS, etc... Technical expertise with data models, data mining, and segmentation techniques.

Job Description We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision-making. The candidate should have strong experience with SQL, Python, PowerApps, and Databricks/PySpark .Key Responsibilities Prepare data using SQL Server, Python, and PySpark tools. Create apps using PowerApps to integrate within Power BI. Design, develop, and maintain data pipelines to ingest, process, and transform structured and unstructured data. Collaborate with data analysts, data scientists, and business teams to understand data requirements and deliver scalable data solutions. Ensure data quality...

Project Role : DevOps Engineer Project Role Description : Responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. Must have skills : DevSecOps Good to have skills : Google Cloud Platform Architecture, Microsoft Azure Infrastructure as Code (IaC) Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a DevsecOps Engineer, you will be responsible for building and setting up n...

Role & responsibilities Responsibilities: Data Modeling and Design: Design and implement efficient data models, including dimensional and normalized models. ETL/ELT Development: Develop and maintain robust ETL/ELT pipelines. Data Pipeline Optimization: Optimize data pipelines for performance and scalability. Database Performance Tuning: Identify and resolve performance bottlenecks in database queries and indexes. Data Quality Assurance: Implement data quality checks and monitoring to ensure data accuracy and consistency. Collaboration: Work closely with data scientists, data engineers, and leadership to understand business requirements and translate them into technical solutions. Cloud Infra...

Job Title: Data Engineer Location: Bangalore Notice Period: immediate - 30days Exp: 6-9yrs Education: Btech or Mtech Role Overview We are seeking a skilled Data Engineer to design, develop, and maintain robust data pipelines and infrastructure. The ideal candidate will ensure the availability, reliability, and quality of data to support analytics, reporting, and decision-making across the organization. Key Responsibilities Design, build, and optimize scalable data pipelines for processing large datasets. Develop and maintain ETL workflows for data integration from multiple sources. Implement and manage data warehousing solutions and dimensional modeling. Ensure data quality, consistency, and...

Please share cvs to sd00838847@techmahindra.com BAU Activities: Data Load & Monitor and Report Issue Work with Data Vendors Source Data Analysis and RCA Work on Incidents (Application Issue L1 support) Stakeholder communication Infra related issues and resolution (Diagnose Create incidents to L2/L3 support) Access Management (User Role assignment/Removal) Application Performance Monitoring Backend (Spring boot) & Fronth (Web App, Angular, Node js) Enhancements Specifications & Qualification: Any Graduate. Good Communication (proficient in spoken and written English) & interpersonal skills. Analytical ability to diagnose problems and to develop practical solutions. Skills Required: ADF, Pyspa...

Experience - 7 to 10 yrs Design and Implement Data Solutions: Lead the design, development, and implementation of scalable and secure Azure-based data platforms, ensuring integration with various data sources and business systems. Deliver at least 2 major projects every year with a focus on data engineering best practices. Optimize Data Pipelines: Build and optimize end-to-end data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse, with an emphasis on automating data workflows. Achieve a 20% reduction in pipeline execution times within the first 6 months. Cloud Infrastructure Management: Manage and maintain the Azure data environment, ensuring high availability, disaste...

Roles and Responsibilities : Manage big data projects from initiation to delivery, ensuring timely completion and quality results. Collaborate with cross-functional teams to design and implement data architectures, ETL processes, and data warehousing solutions. Oversee the development of complex data pipelines using technologies such as Spark, Hadoop, AWS/Azure/GCP. Ensure effective project management practices are followed throughout the project lifecycle. Job Requirements : 14-18 years of experience in Big Data Analytics with expertise in DW (Data Warehousing) and ETL (Extract Transform Load). Strong understanding of Data Bricks, Data Architecture, and Project Management principles. Profic...

Role: Data Engineer Location: Hyderabad Experience: 6 - 8 years Job description: Databricks, Python, PySpark, Spark SQL Must have 4+ years of IT experience 2. Excellent coding skills in Python, PySpark,Spark SQL. 3. Excellent understanding on Databricks ETL concepts. 4. Ability to integrate multiple data sources. 5. Must have good hands-on knowledge of Git CI/CD process. 6. Need to have an independent and analytical approach work. 7. Identify bottlenecks and bugs, and devise a solution to these problems.

Area(s) of responsibility irlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company's consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group's 170-year heritage of building sustainable communities. Key Responsibilities Test strategy and planning: Design and develop comprehensive test strategies, test plans, and test cases for ETL workflows and data pipelines. Team leadership: Lead ...

• Having good implementation experience in :Azure Services: Azure Data Factory, Azure Databricks, Azure SQL, Azure Data Lake Storage (ADLS), Azure Key Vault, Programming & Frameworks: Python, PySpark, Spark SQL BE/B.Tech/Masters in Computer Science

Company:MNC Domain:Data Engineer Experience:5+ years Package:Open package Upto 20LPA Qualification:Any Degree Location:Hyderabad Good Communication Skills Mandatory Hybrid Mode