599 Cloudera Jobs - Page 8

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 platform Experience in developin...

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Cloudera Data Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-s...

Job Description Job Title: Software/Data Engineer AWS Role Overview We are seeking a skilled Data Engineer to develop and maintain a high-performance streaming data platform for a leading healthcare CRM product You will work across technologies like Python, SQL, NodeJS, Kafka, and cloud-native services, contributing to scalable, efficient, and robust data solutions, Key Responsibilities Design, develop, and maintain scalable data pipelines and streaming systems, Work with Python, SQL, Scala, NodeJS, and various data stores (relational, NoSQL, Kafka), Analyze healthcare and marketing datasets using SQL, Refactor and optimize existing codebases for performance improvements, Collaborate closely...

Role & responsibilities • Hands-on experience - Hadoop, System administration with sound knowledge In Unix based Operating System internals. • Working experience on Cloudera CDP and CDH and Hortonworks HDP Distribution. • Linux experience (RedHat, CentOS, Ubuntu). • Experience in setting up and supporting Hadoop environment (Cloud and On-premises). • Ability to setup, configure and implement security for Hadoop clusters using Kerberos. • Ability to implement data-at-rest encryption (required), data-in-transit encryption(optional). • Ability to setup and troubleshoot Data Replication peers and policies. • Experience in setting up services like YARN, HDFS, Zookeeper, Hive, Spark, HBase etc. • ...

SUMMARY Summary We are seeking experienced Palantir Foundry Professionals to join our team in Bangalore. The ideal candidate will have a strong background in Palantir Foundry, with a minimum of 5 years of relevant experience. This role requires a deep understanding of data integration, application development, and cloud-based deployment. The successful candidate will be responsible for troubleshooting and optimizing application performance, and will work closely with our team to deliver high-quality solutions. Responsibilities Develop and implement data integration solutions using Palantir Foundry Design and deploy cloud-based applications using Agile methodologies Troubleshoot and optimize ...

Core skill - Hive, Impala, SQL, Pyspark, Hadoop, Cloudera Data Platform Job Description: 5+ yrs of relevant experience in Big data technologies like Hive, Impala, Oozie Has 5+ yrs of relevant experience in Spark Scala. Has good knowledge on advanced SQL . Should have experience working with Shell. Good to have : Should have worked on performance tuning of Spark jobs, Hive/Impala queries. Should have basic understanding of visualization tools like tableau.

5+ yrs of relevant experience in Big data technologies like Hive, Impala, Oozie Has 5+ yrs of relevant experience in Spark Scala. Has good knowledge on advanced SQL . Should have experience working with Shell. Good to have : Should have worked on performance tuning of Spark jobs, Hive/Impala queries. Should have basic understanding of visualization tools like tableau.

About The Role : Job Title: Risk Portfolio Analyst LocationMumbai, India Role Description Market and Valuation Risk Management (MVRM) provides an independent view of market risks and valuation to Deutsche Banks senior management. The market risk team manages Deutsche Banks Market Risk position in an independent and neutral way. You will be a part of the Market Risk Analysis and Control (MRAC) function within MVRM and will be responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making for Global Rates asset class. The team operates a business/asset class and risk metric aligned organizational matrix supported by central fun...

Summary Business Operations is leading the DevOps transformation at Mastercard through our tooling and by being an advocate for change & standards throughout the development, quality, release, and product organizations. We need team members with an appetite for change and pushing the boundaries of what can be done with automation. Experience in working across development, operations, and product teams to prioritize needs and to build relationships is a must.Mastercard is embarking a journey to build an enterprise Artificial Intelligence Platform. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal proces...

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelo...

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too. Required education Bachel...

Job Title: Hadoop Administrator Lead Experience : 6 -12 years in Systems Administration with at least the last 3 years in Hadoop Cluster Administration in Cloudera or Horton Works Shifts : 24*7 (Rotational Shift) Mode : Onsite Location : Chennai, India Department : IT Infrastructure and Operations Company : Smartavya Analytica Private limited is niche Data and AI company. Based in Pune, we are pioneers in data-driven innovation, transforming enterprise data into strategic insights. Established in 2017, our team has experience in handling large datasets up to 20 PBs in a single implementation, delivering many successful data and AI projects across major industries, including retail, finance, ...

About The Role Data Strategy & Data Governance Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is t...

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 Azure 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 and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform 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 platform Experience in developing strea...

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 platform Experience in developin...

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 Azure 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 and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform 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 platform Experience in developing strea...

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Apache Spark Good to have skills : Scala Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and impl...

Technical Skill set: Having 3-5 years of experience in implementing Big Data solution in Cloud environments. Hands-on in implenting Big data solution using Airflow DAG,Spark,Python,Hive,Trino,S3 Bucket,etc Having experience Cloud Data platform like SnowFlake , Databricks is a plus. Knowledge of Financial domain-Credit Card industry is a plus. Responsibilites: Creating an ELT Data pipelines using python script and Airflow DAG. Optimizing the Data pipelines by configuring the Spark system resources Debug an existing Microsoft BI ETLs and understand business logic and convert in to big data pipeline using Airflow DAG. Able to interact with business partners to understand the requirements and pr...

Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readinessTeam Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusi...

Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal overs...

Title and Summary Senior BizOps EngineerBusiness Operations is leading the DevOps transformation at Mastercard through our tooling and by being an advocate for change & standards throughout the development, quality, release, and product organizations. We need team members with an appetite for change and pushing the boundaries of what can be done with automation. Experience in working across development, operations, and product teams to prioritize needs and to build relationships is a must. Mastercard is embarking a journey to build an enterprise Artificial Intelligence Platform. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage fo...

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...

About The Role Skill required: Talent & HR - Talent Strategy Designation: PPSM Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace t...

Type: Contract-to-Hire (C2H) Job Summary We are looking for a skilled PySpark Developer with hands-on experience in building scalable data pipelines and processing large datasets. The ideal candidate will have deep expertise in Apache Spark , Python , and working with modern data engineering tools in cloud environments such as AWS . Key Skills & Responsibilities Strong expertise in PySpark and Apache Spark for batch and real-time data processing. Experience in designing and implementing ETL pipelines, including data ingestion, transformation, and validation. Proficiency in Python for scripting, automation, and building reusable components. Hands-on experience with scheduling tools like Airfl...

8+ years of experience in ETL with minimum of 3+ years of experience in PySpark/Spark SQL Strong SQL skills with experience in Azure SQL & Synapse Strong Skill in developing Synapse Notebooks , Azure Data Bricks Experience in ETL (SAS/Informatica/ADF Data flows) Experience implementing Synapse Pipelines/Dataflows Use the interactive Synapse/Databricks notebook environment using SQL, Examine external data sets, Query existing data sets using SQL ETL transformations and Loads using Synapse Notebooks/ Azure Databricks to apply built-in functions to manipulate data, Perform an ETL job on a streaming data source, Parameterize a code base and manage task dependencies, Submit and monitor jobs using...