Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Hadoop Administration, Risk Asessment URS Preparation Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Graduation Summary :As a Hadoop Administrator, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve working with Hadoop, managing and monitoring Hadoop clusters, and ensuring the security and scalability of the Hadoop infrastructure. Roles & Responsibilities: Lead the design, build, and configuration of Hadoop applications to meet business process and application requirements. Manage and monitor Hadoop clusters, ensuring the security and scalability of the Hadoop infrastructure. Collaborate with cross-functional teams, applying expertise in Hadoop administration and related technologies. Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Stay updated with the latest advancements in Hadoop administration and related technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Experience in Hadoop administration. Good To Have Skills:Experience in related technologies such as Hive, Pig, and HBase. Strong understanding of Hadoop architecture and related technologies. Experience in managing and monitoring Hadoop clusters. Experience in ensuring the security and scalability of the Hadoop infrastructure. Additional Information: The candidate should have a minimum of 7.5 years of experience in Hadoop administration. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office.QualificationsGraduation

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 : Microsoft Azure Data Services Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will be responsible for leading the development and implementation of applications using Microsoft Azure Data Services. You will collaborate with the team to ensure smooth project execution and make key decisions. Your typical day will involve managing the team, engaging with multiple teams, and providing solutions to problems that apply across multiple teams. With your expertise in Microsoft Azure Data Services, you will contribute to the success of our projects and drive innovation in application development. Roles & Responsibilities: Expected to be an SME in Microsoft Azure Data Services Collaborate and manage the team to perform effectively Responsible for team decisions and ensuring project execution Engage with multiple teams and contribute on key decisions Expected to provide solutions to problems that apply across multiple teams Lead the development and implementation of applications Ensure smooth project execution and timely delivery Provide technical guidance and mentorship to team members Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft Azure Data Services Experience with cloud-based application development Strong understanding of data storage and management in Azure Hands-on experience with Azure SQL Database and Azure Cosmos DB Solid grasp of data integration and migration in Azure Additional Information: The candidate should have a minimum of 12 years of experience in Microsoft Azure Data Services This position is based at our Gurugram office A 15 years full time education is required Qualifications 15 years full time education

Python/Spark/Scala experience AWS experienced will be added advantage. Professional hand-on experience in scala/python Having around 4 to 6 years of experience with excellent coding skills in Java programming language. Having knowledge (or hands on experience) of big data platform and frameworks is good to have. Candidate should have excellent code understanding skills where in should be able to read opensource code (Trino)and build optimizations or improvements on top of it. Working experience in Presto/Trino is a great advantage. Knowledge in Elastic Search, Grafana will be good to have. Experience working under Agile methodology Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience Having around 4 to 6 years of experience with excellent coding skills in Java programming language. Having knowledge (or hands on experience) of big data platform and frameworks is good to have. Candidate should have excellent code understanding skills where in should be able to read opensource code (Trino)and build optimizations or improvements on top of it

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 Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Must have 5+ years exp in Big Data -Hadoop Spark -Scala ,Python Hbase, Hive Good to have Aws -S3, athena ,Dynomo DB, Lambda, Jenkins GIT Developed Python and pyspark programs for data analysis. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

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 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 streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Knowledge or experience of Snowflake will be an added advantage

Job Title Palantir Developer Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Primary skills:Technology->Analytics - Packages->Python - Big Data, Palantir Foundary Preferred Skills: Technology->Analytics - Packages->Python - Big Data Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit* Location of posting is subject to business requirements CLICK TO PROCEED

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with cross-functional teams to design and implement data platform solutions. Develop and maintain data pipelines for efficient data processing. Optimize data storage and retrieval processes for improved performance. Implement data security measures to protect sensitive information. Conduct regular data platform performance evaluations and make recommendations for improvements. Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform. Strong understanding of cloud-based data platforms. Experience with data modeling and database design. Hands-on experience with ETL processes and tools. Knowledge of data governance and compliance standards. Additional Information: The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Pune office. A 15 years full time education is required. Qualifications 15 years full time education

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will collaborate closely with our Data Scientists to develop and deploy machine learning models. Proficiency in below listed skills will be crucial in building and maintaining pipelines for training and inference datasets. Responsibilities: • Work in tandem with Data Scientists to design, develop, and implement machine learning pipelines. • Utilize PySpark for data processing, transformation, and preparation for model training. • Leverage AWS EMR and S3 for scalable and efficient data storage and processing. • Implement and manage ETL workflows using Streamsets for data ingestion and transformation. • Design and construct pipelines to deliver high-quality training and inference datasets. • Collaborate with cross-functional teams to ensure smooth deployment and real-time/near real-time inferencing capabilities. • Optimize and fine-tune pipelines for performance, scalability, and reliability. • Ensure IAM policies and permissions are appropriately configured for secure data access and management. • Implement Spark architecture and optimize Spark jobs for scalable data processing. Total Experience Expected: 04-06 years

About The Role : Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy

GCP:Data engineer Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.). Hands on experience in SQL and Unix scripting Experience in Python and Kafka. ELT Tool Experience and Hands on DBT Google Cloud Professional Data Engineers are responsible for developing Extract, Transform, and Load (ETL) processes to move data from various sources into the Google Cloud Platform. Detailed JD : Must Have Around 8 to 11 years of experience with a strong knowledge in migrating on premise ETLs to Google Cloud Platform (GCP) ? 2-3 years of Strong Bigquery+GCP Experience. Very Strong SQL writing skills Hand on Experience in Python Programming Hands on experience in Design, Development, Implementation of Data Warehousing in ETL process. Experience in IT data analytics projects, hands on experience in migrating on premise ETLs to Google Cloud Platform (GCP) using cloud native tools such as BIG query, Google Cloud Storage, Composer, Dataflow, Cloud Functions. GCP certified Associate Cloud Engineer. Practical understanding of the Data modelling (Dimensional & Relational), Performance Tuning and debugging. Extensive experience in the Data Warehousing using Data Extraction, Data Transformation, Data Loading and business intelligence technologies using ELT design Working experience in CI /CD using Gitlab and Jenkins. Good to Have DBT tool experience Practical experience in Big Data application development involving various data processing techniques for Data Ingestion, Data Modelling In-Stream data processing and Batch Analytics using various distributions of Hadoop and its ecosystem tools like HDFS, HIVE, PIG, Sqoop, Spark. Document all the work implemented using Confluence and track all requests and changes using Jira. Involved in both technical and managerial activities and experience in GCP Responsibilities ? Create and maintain optimal data pipeline architecture. ? Assemble large, complex data sets that meet functional / non-functional business requirements. ? Identify, design, and implement internal process improvements:automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. ? Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP data warehousing technologies. ? Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. ? Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. ? Keep our data separated and secure across national boundaries through data centers and GCP regions. ? Work with data and analytics experts to strive for greater functionality in the data systems. Qualifications ? Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. ? Experience building and optimizing data warehousing data pipelines (ELT and ETL), architectures and data sets. ? Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. ? Strong analytic skills related to working with unstructured datasets. ? Build processes supporting data transformation, data structures, metadata, dependency and workload management. ? A successful history of manipulating, processing and extracting value from large disconnected datasets. ? Working knowledge of message queuing, stream processing, and highly scalable big data data stores. ? Strong project management and organizational skills. ? Experience supporting and working with cross-functional teams in a dynamic environment. Technical Skillset ? Experience with data warehouse tools:GCP BigQuery, GCP BigData, Dataflow, Teradata, etc. ? Experience with relational SQL and NoSQL databases, including PostgreSQL and MongoDB. ? Experience with data pipeline and workflow management tools:Data Build Tool (DBT), Airflow, Google Cloud Composer, Google Cloud PubSub, etc. ? Experience with GCP cloud services:Primarily BigQuery, Kubernetes, Cloud Function, Cloud Composer, PubSub etc. ? Experience with object-oriented/object function scripting languages:Python, Java, Terraform etc. ? Experience with CICD pipeline and workflow management tools:GitHub Enterprise, Cloud Build, Codefresh etc. ? Experience with Data Analytics and Visualization Tools:Tableau BI Tool (OnPrem and SaaS), Data Analytics Workbench (DAW), Visual Data Studio etc. ? GCP Data Engineer certification is mandatory

Wipro Limited (NYSE:WIT, BSE:507685, NSE:WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. 1. Understanding the NBA requirements. 2. Provide Subject matter expertise in relation to Pega CDH from technology perspective. 3. Participate actively in the creation and review of the Conceptual Design, Detailed Design, and estimations. 4. Implementing the NBAs as per agreed requirement/solution 5. Supporting the end-to-end testing and provide fixes with quick TAT. 6. Deployment knowledge to manage the implementation activities. 7. Experience in Pega CDH v8.8 multi app or 24.1 and retail banking domain is preferred. 8. Good communication skills 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSE:WIT, BSE:507685, NSE:WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSE:WIT, BSE:507685, NSE:WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role : Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

The ideal candidate should possess technical expertise in the following areas, along with soft skills such as communication, collaboration, time management, and organizational abilities. Key Skills Experience: Soft Skills: Communication, Collaboration, Time Management, Organizational Skills, Positive Attitude. Experience: Proficiency in Data Engineering, SQL, and Cloud Technologies. Must-Have Technical Skills: Talend SQL, SQL Server, T-SQL SQL Agent Snowflake / BigQuery GCP (Google Cloud Platform) SSIS Dataproc Composer / Airflow Python Nice-to-Have Technical Skills: Dataplex Dataflow Big Lake, Lakehouse, BigTable GCP Pub/Sub BQ API, BQ Connection API Other Details: .

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total Exp-6-7 Yrs (Relevant-4-5 Yrs) Mandatory Skills: Azure Databricks, Python/PySpark, SQL, Github, - Azure Devops - Azure Blob Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Tech Stalwart Solution Private Limited is looking for Data Engineer - SSIS and Tableau to join our dynamic team and embark on a rewarding career journey. Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

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 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 streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5-8 years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Knowledge or experience of Snowflake will be an added advantage

We need GCP engineers for capacity building; - The candidate should have extensive production experience (1-2 Years ) in GCP, Other cloud experience would be a strong bonus. - Strong background in Data engineering 2-3 Years of exp in Big Data technologies including, Hadoop, NoSQL, Spark, Kafka etc. - Exposure to enterprise application development is a must Roles and Responsibilities 4-7 years of IT experience range is preferred. Able to effectively use GCP managed services e.g. Dataproc, Dataflow, pub/sub, Cloud functions, Big Query, GCS - At least 4 of these Services. Good to have knowledge on Cloud Composer, Cloud SQL, Big Table, Cloud Function. Strong experience in Big Data technologies – Hadoop, Sqoop, Hive and Spark including DevOPs. Good hands on expertise on either Python or Java programming. Good Understanding of GCP core services like Google cloud storage, Google compute engine, Cloud SQL, Cloud IAM. Good to have knowledge on GCP services like App engine, GKE, Cloud Run, Cloud Built, Anthos. Ability to drive the deployment of the customers’ workloads into GCP and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for GCP cloud implementations. Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities. Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies. Act as a subject-matter expert OR developer around GCP and become a trusted advisor to multiple teams. Technical ability to become certified in required GCP technical certifications.

A Data Platform Engineer specialises in the design, build, and maintenance of cloud-based data infrastructure and platforms for data-intensive applications and services. They develop Infrastructure as Code and manage the foundational systems and tools for efficient data storage, processing, and management. This role involves architecting robust and scalable cloud data infrastructure, including selecting and implementing suitable storage solutions, data processing frameworks, and data orchestration tools. Additionally, a Data Platform Engineer ensures the continuous evolution of the data platform to meet changing data needs and leverage technological advancements, while maintaining high levels of data security, availability, and performance. They are also tasked with creating and managing processes and tools that enhance operational efficiency, including optimising data flow and ensuring seamless data integration, all of which are essential for enabling developers to build, deploy, and operate data-centric applications efficiently. Job Description - Grade Specific An expert on the principles and practices associated with data platform engineering, particularly within cloud environments, and demonstrates proficiency in specific technical areas related to cloud-based data infrastructure, automation, and scalability.Key responsibilities encompass:Team Leadership and Management: Supervising a team of platform engineers, with a focus on team dynamics and the efficient delivery of cloud platform solutions.Technical Guidance and Decision-Making: Providing technical leadership and making pivotal decisions concerning platform architecture, tools, and processes. Balancing hands-on involvement with strategic oversight.Mentorship and Skill Development: Guiding team members through mentorship, enhancing their technical proficiencies, and nurturing a culture of continual learning and innovation in platform engineering practices.In-Depth Technical Proficiency: Possessing a comprehensive understanding of platform engineering principles and practices, and demonstrating expertise in crucial technical areas such as cloud services, automation, and system architecture.Community Contribution: Making significant contributions to the development of the platform engineering community, staying informed about emerging trends, and applying this knowledge to drive enhancements in capability.

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the worlds technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall, more than 6 years of experience with more than 4+ years of Strong Hands on experience in Python and Spark Strong technical abilities to understand, design, write and debug to develop applications on Python and Pyspark. Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure strong problem-solving skill Preferred technical and professional experience Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure

Experience with Scala object-oriented/object function Strong SQL background. Experience in Spark SQL, Hive, Data Engineer. SQL Experience with data pipelines & Data Lake Strong background in distributed comp Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise SQL Experience with data pipelines & Data Lake Strong background in distributed comp Experience with Scala object-oriented/object function Strong SQL background Preferred technical and professional experience Core Scala Development Experience

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the worlds technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall, more than 6 years of experience with more than 4+ years of Strong Hands on experience in Python and Spark Strong technical abilities to understand, design, write and debug to develop applications on Python and Pyspark. Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure strong problem-solving skill Preferred technical and professional experience Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure

Experience with Scala object-oriented/object function Strong SQL background. Experience in Spark SQL, Hive, Data Engineer. SQL Experience with data pipelines & Data Lake Strong background in distributed comp Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise SQL Experience with data pipelines & Data Lake Strong background in distributed comp Experience with Scala object-oriented/object function Strong SQL background Preferred technical and professional experience Core Scala Development Experience

Responsibilities 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 Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Must have 5+ years exp in Big Data -Hadoop Spark -Scala ,Python Hbase, Hive Good to have Aws -S3, athena ,Dynomo DB, Lambda, Jenkins GIT Developed Python and pyspark programs for data analysis.. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala"

Responsibilities 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 Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Must have 5+ years exp in Big Data -Hadoop Spark -Scala ,Python Hbase, Hive Good to have Aws -S3, athena ,Dynomo DB, Lambda, Jenkins GIT Developed Python and pyspark programs for data analysis.. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations.. Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala"