62 Apache Nifi Jobs

- Architect and optimize distributed data processing pipelines leveraging PySpark for high-throughput, low-latency workloads. - Utilize the Apache big data stack (Hadoop, Hive, HDFS) to orchestrate ingestion, transformation, and governance of massive datasets. - Engineer fault-tolerant, production-grade ETL frameworks ensuring seamless scalability and system resilience. - Interface cross-functionally with Data Scientists and domain experts to translate analytical needs into performant data solutions. - Enforce rigorous data quality controls and lineage mechanisms to uphold auditability and regulatory compliance. - Contribute to core architectural design, implement clean and modular Python/Java code, and drive performance benchmarking at scale. Required Skills : - 5-7 years of experience. - Strong hands-on experience with PySpark for distributed data processing. - Deep understanding of Apache ecosystem (Hadoop, Hive, Spark, HDFS, etc.) - Solid grasp of data warehousing, ETL principles, and data modeling. - Experience working with large-scale datasets and performance optimization. - Familiarity with SQL and NoSQL databases. - Proficiency in Python and basic to intermediate knowledge of Java. - Experience in using version control tools like Git and CI/CD pipelines. Nice-to-Have Skills : - Working experience with Apache NiFi for data flow orchestration. - Experience in building real-time streaming data pipelines. - Knowledge of cloud platforms like AWS, Azure, or GCP. - Familiarity with containerization tools like Docker or orchestration tools like Kubernetes.

Azure Infrastructure Consultant - Cloud & Data Integration Experience: 8+ Years Employment Type: Full-Time Industry: Information Technology / Cloud Infrastructure / Data Engineering Job Summary: We are looking for a seasoned Azure Infrastructure Consultant with a strong foundation in cloud infrastructure, data integration, and real-time data processing. The ideal candidate will have hands-on experience across Azure and AWS platforms, with deep knowledge of Apache NiFi, Kafka, AWS Glue, and PySpark. This role involves designing and implementing secure, scalable, and high-performance cloud infrastructure and data pipelines. Key Responsibilities: Design and implement Azure-based infrastructure solutions, ensuring scalability, security, and performance. Lead hybrid cloud integration projects involving Azure and AWS services. Develop and manage ETL/ELT pipelines using AWS Glue, Apache NiFi, and PySpark. Architect and support real-time data streaming solutions using Apache Kafka. Collaborate with cross-functional teams to gather requirements and deliver infrastructure and data solutions. Implement infrastructure automation using tools like Terraform, ARM templates, or Bicep. Monitor and optimize cloud infrastructure and data workflows for cost and performance. Ensure compliance with security and governance standards across cloud environments. Required Skills & Qualifications: 8+ years of experience in IT infrastructure and cloud consulting. Strong hands-on experience with: Azure IaaS/PaaS (VMs, VNets, Azure AD, App Services, etc.) AWS services including Glue, S3, Lambda Apache NiFi for data ingestion and flow management Apache Kafka for real-time data streaming PySpark for distributed data processing Proficiency in scripting (PowerShell, Python) and Infrastructure as Code (IaC). Solid understanding of networking, security, and identity management in cloud environments. Strong communication and client-facing skills. Preferred Qualifications: Azure or AWS certifications (e.g., Azure Solutions Architect, AWS Data Analytics Specialty). Experience with CI/CD pipelines and DevOps practices. Familiarity with containerization (Docker, Kubernetes) and orchestration. Exposure to data governance tools and frameworks. Required Skills Azure,Microsoft Azure,Azure Paas,aws glue

- Architect and optimize distributed data processing pipelines leveraging PySpark for high-throughput, low-latency workloads. - Utilize the Apache big data stack (Hadoop, Hive, HDFS) to orchestrate ingestion, transformation, and governance of massive datasets. - Engineer fault-tolerant, production-grade ETL frameworks ensuring seamless scalability and system resilience. - Interface cross-functionally with Data Scientists and domain experts to translate analytical needs into performant data solutions. - Enforce rigorous data quality controls and lineage mechanisms to uphold auditability and regulatory compliance. - Contribute to core architectural design, implement clean and modular Python/Java code, and drive performance benchmarking at scale. Required Skills : - 5-7 years of experience. - Strong hands-on experience with PySpark for distributed data processing. - Deep understanding of Apache ecosystem (Hadoop, Hive, Spark, HDFS, etc.) - Solid grasp of data warehousing, ETL principles, and data modeling. - Experience working with large-scale datasets and performance optimization. - Familiarity with SQL and NoSQL databases. - Proficiency in Python and basic to intermediate knowledge of Java. - Experience in using version control tools like Git and CI/CD pipelines. Nice-to-Have Skills : - Working experience with Apache NiFi for data flow orchestration. - Experience in building real-time streaming data pipelines. - Knowledge of cloud platforms like AWS, Azure, or GCP. - Familiarity with containerization tools like Docker or orchestration tools like Kubernetes.

Travel Designer Group Founded in 1999, Travel Designer Group has consistently achieved remarkable milestones in a relatively short span of time. While we embody the agility, growth mindset, and entrepreneurial energy typical of start-ups, we bring with us over 24 years of deep-rooted expertise in the travel trade industry. As a leading global travel wholesaler, we serve as a vital bridge connecting hotels, travel service providers, and an expansive network of travel agents worldwide. Our core strength lies in sourcing, curating, and distributing high-quality travel inventory through our award-winning B2B reservation platform, RezLive.com. This enables travel trade professionals to access real-time availability and competitive pricing to meet the diverse needs of travelers globally. Our expanding portfolio includes innovative products such as: * Rez.Tez * Affiliate.Travel * Designer Voyages * Designer Indya * RezRewards * RezVault With a presence in over 32+ countries and a growing team of 300+ professionals, we continue to redefine travel distribution through technology, innovation, and a partner-first approach. Website : https://www.traveldesignergroup.com/ Profile :- ETL Developer ETL Tools - any 1 -Talend / Apache NiFi /Pentaho/ AWS Glue / Azure Data Factory /Google Dataflow Workflow & Orchestration : any 1 good to have- not mandatory Apache Airflow/dbt (Data Build Tool)/Luigi/Dagster / Prefect / Control-M Programming & Scripting : SQL (Advanced) Python ( mandatory ) Bash/Shell (mandatory) Java or Scala (optional for Spark) -optional Databases & Data Warehousing MySQL / PostgreSQL / SQL Server / Oracle mandatory Snowflake - good to have Amazon Redshift - good to have Google BigQuery - good to have Azure Synapse Analytics - good to have MongoDB / Cassandra - good to have Cloud & Data Storage : any 1 -2 AWS S3 / Azure Blob Storage / Google Cloud Storage - mandatory Kafka / Kinesis / Pub/Sub Interested candidate also share your resume in shivani.p@rezlive.com

Dear Candidate, We are hiring a Data Engineer to build and maintain data pipelines for our analytics platform. Perfect for engineers focused on data processing and scalability. Key Responsibilities: Design and implement ETL processes Manage data warehouses and ensure data quality Collaborate with data scientists to provide necessary data Optimize data workflows for performance Required Skills & Qualifications: Proficiency in SQL and Python Experience with data pipeline tools like Apache Airflow Familiarity with big data technologies (Spark, Hadoop) Bonus: Knowledge of cloud data services (AWS Redshift, Google BigQuery) Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Data Architect with creativity and results-oriented critical thinking to meet complex challenges and develop new strategies for acquiring, analyzing, modeling and storing data. In this role you will guide the company into the future and utilize the latest technology and information management methodologies to meet our requirements for effective logical data modeling, metadata management and database warehouse domains. You will be working with experts in a variety of industries, including computer science and software development, as well as department heads and senior executives to integrate new technologies and refine system performance. We reward dedicated performance with exceptional pay and benefits, as well as tuition reimbursement and career growth opportunities. What You?ll Do Define data retention policies Monitor performance and advise any necessary infrastructure changes Mentor junior engineers and work with other architects to deliver best in class solutions Implement ETL / ELT process and orchestration of data flows Recommend and drive adoption of newer tools and techniques from the big data ecosystem Expertise You?ll Bring 10+ years in industry, building and managing big data systems Building, monitoring, and optimizing reliable and cost-efficient pipelines for SaaS is a must Building stream-processing systems, using solutions such as Storm or Spark-Streaming Dealing and integrating with data storage systems like SQL and NoSQL databases, file systems and object storage like s3 Reporting solutions like Pentaho, PowerBI, Looker including customizations Developing high concurrency, high performance applications that are database-intensive and have interactive, browser-based clients Working with SaaS based data management products will be an added advantage Proficiency and expertise in Cloudera / Hortonworks Spark HDF and NiFi RDBMS, NoSQL like Vertica, Redshift, Data Modelling with physical design and SQL performance optimization Messaging systems, JMS, Active MQ, Rabbit MQ, Kafka Big Data technology like Hadoop, Spark, NoSQL based data-warehousing solutions Data warehousing, reporting including customization, Hadoop, Spark, Kafka, Core java, Spring/IOC, Design patterns Big Data querying tools, such as Pig, Hive, and Impala Open-source technologies and databases (SQL & NoSQL) Proficient understanding of distributed computing principles Ability to solve any ongoing issues with operating the cluster Scale data pipelines using open-source components and AWS services Cloud (AWS), provisioning, capacity planning and performance analysis at various levels Web-based SOA architecture implementation with design pattern experience will be an added advantage Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential. See Beyond, Rise Above.

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Data Architect with creativity and results-oriented critical thinking to meet complex challenges and develop new strategies for acquiring, analyzing, modeling and storing data. In this role you will guide the company into the future and utilize the latest technology and information management methodologies to meet our requirements for effective logical data modeling, metadata management and database warehouse domains. You will be working with experts in a variety of industries, including computer science and software development, as well as department heads and senior executives to integrate new technologies and refine system performance. We reward dedicated performance with exceptional pay and benefits, as well as tuition reimbursement and career growth opportunities. What You?ll Do Define data retention policies Monitor performance and advise any necessary infrastructure changes Mentor junior engineers and work with other architects to deliver best in class solutions Implement ETL / ELT process and orchestration of data flows Recommend and drive adoption of newer tools and techniques from the big data ecosystem Expertise You?ll Bring 10+ years in industry, building and managing big data systems Building, monitoring, and optimizing reliable and cost-efficient pipelines for SaaS is a must Building stream-processing systems, using solutions such as Storm or Spark-Streaming Dealing and integrating with data storage systems like SQL and NoSQL databases, file systems and object storage like s3 Reporting solutions like Pentaho, PowerBI, Looker including customizations Developing high concurrency, high performance applications that are database-intensive and have interactive, browser-based clients Working with SaaS based data management products will be an added advantage Proficiency and expertise in Cloudera / Hortonworks Spark HDF and NiFi RDBMS, NoSQL like Vertica, Redshift, Data Modelling with physical design and SQL performance optimization Messaging systems, JMS, Active MQ, Rabbit MQ, Kafka Big Data technology like Hadoop, Spark, NoSQL based data-warehousing solutions Data warehousing, reporting including customization, Hadoop, Spark, Kafka, Core java, Spring/IOC, Design patterns Big Data querying tools, such as Pig, Hive, and Impala Open-source technologies and databases (SQL & NoSQL) Proficient understanding of distributed computing principles Ability to solve any ongoing issues with operating the cluster Scale data pipelines using open-source components and AWS services Cloud (AWS), provisioning, capacity planning and performance analysis at various levels Web-based SOA architecture implementation with design pattern experience will be an added advantage Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential. See Beyond, Rise Above.

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Data Architect with creativity and results-oriented critical thinking to meet complex challenges and develop new strategies for acquiring, analyzing, modeling and storing data. In this role you will guide the company into the future and utilize the latest technology and information management methodologies to meet our requirements for effective logical data modeling, metadata management and database warehouse domains. You will be working with experts in a variety of industries, including computer science and software development, as well as department heads and senior executives to integrate new technologies and refine system performance. We reward dedicated performance with exceptional pay and benefits, as well as tuition reimbursement and career growth opportunities. What You?ll Do Define data retention policies Monitor performance and advise any necessary infrastructure changes Mentor junior engineers and work with other architects to deliver best in class solutions Implement ETL / ELT process and orchestration of data flows Recommend and drive adoption of newer tools and techniques from the big data ecosystem Expertise You?ll Bring 10+ years in industry, building and managing big data systems Building, monitoring, and optimizing reliable and cost-efficient pipelines for SaaS is a must Building stream-processing systems, using solutions such as Storm or Spark-Streaming Dealing and integrating with data storage systems like SQL and NoSQL databases, file systems and object storage like s3 Reporting solutions like Pentaho, PowerBI, Looker including customizations Developing high concurrency, high performance applications that are database-intensive and have interactive, browser-based clients Working with SaaS based data management products will be an added advantage Proficiency and expertise in Cloudera / Hortonworks Spark HDF and NiFi RDBMS, NoSQL like Vertica, Redshift, Data Modelling with physical design and SQL performance optimization Messaging systems, JMS, Active MQ, Rabbit MQ, Kafka Big Data technology like Hadoop, Spark, NoSQL based data-warehousing solutions Data warehousing, reporting including customization, Hadoop, Spark, Kafka, Core java, Spring/IOC, Design patterns Big Data querying tools, such as Pig, Hive, and Impala Open-source technologies and databases (SQL & NoSQL) Proficient understanding of distributed computing principles Ability to solve any ongoing issues with operating the cluster Scale data pipelines using open-source components and AWS services Cloud (AWS), provisioning, capacity planning and performance analysis at various levels Web-based SOA architecture implementation with design pattern experience will be an added advantage Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential. See Beyond, Rise Above.

Date 18 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling, and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your expertise in data solutions to a cutting-edge field. Youll work alongside innovative and collaborative teammates. You'll play a pivotal role in defining, developing, and sustaining advanced data solutions that empower our industrial programs. Day-to-day, youll work closely with teams across the business (such as IT, engineering, and operations), design scalable data models, ensure data quality, and much more. Youll specifically take care of building multi-tenant data collectors and processing units, as well as creating customizable analytical dashboards, but also evaluate opportunities from emerging technologies. Well look to you for: Designing technical solutions for production-grade and cyber-secure data systems Building multi-tenant data storage and streaming solutions for batch and near-real-time flows Creating scalable data models, including SQL and NoSQL modeling Enhancing data quality and applying robust data management and security practices Developing customizable analytical dashboards Applying strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: 5 to 10 years of experience in IT, digital companies, software development, or startups Extensive experience with data processing and software development in Python or Java/Scala environments Proficiency in developing solutions with Apache Spark, Apache Kafka, and/or Nifi for production Expertise in data modeling and SQL database configuration (e.g., Postgres, MariaDB, MySQL) Knowledge of DevOps practices, including Docker Experience with Git and release management Familiarity with cloud platforms like Microsoft Azure, AWS, or GCP (desirable) Understanding of network and security protocols such as SSL, certificates, IPSEC, Active Directory, and LDAP (desirable) Knowledge of machine learning frameworks like scikit-learn, R, or TensorFlow (desirable) Good understanding of the Apache open-source ecosystem (desirable) Fluent English; French is a plus Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards senior data leadership roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Data Architect with Cloud Expert, Data Architecture, Data Integration & Data Engineering ETL/ELT - Talend, Informatica, Apache NiFi. Big Data - Hadoop, Spark Cloud platforms (AWS, Azure, GCP), Redshift, BigQuery Python, SQL, Scala,, GDPR, CCPA

Job Purpose Vi is seeking an experienced Apache NiFi Developer to join our data engineering team. In this role, person will be responsible for designing, building, and managing data flows using Apache NiFi. The ideal candidate has a strong background in data integration and transformation, and experience with real-time data pipelines in enterprise environments. This role requires hands-on experience with NiFi and related data ingestion and processing technologies. Key Result Areas/Accountabilities Data Flow Design and Development : Create, configure, and manage data flows in Apache NiFi to support data integration from diverse sources, such as databases, cloud storage, and APIs. Data Transformation and Routing : Develop and implement data transformation, routing, and enrichment workflows within NiFi to ensure data consistency and quality. Data Ingestion and Processing : Set up and manage data ingestion pipelines that enable real-time and batch data processing, using NiFi processors for custom integrations and transformations. Monitoring and Optimization: M onitor, troubleshoot, and optimize NiFi workflows for performance, reliability, and scalability. Core Competencies, Knowledge, Experience Overall 6+ years of experience in managing database/NBI development part, minimum 2 years of experience in managing & integration Kafka layer. Strong hands-on experience with Apache Kafka (setup, configuration, and tuning) Experience with Kafka Streams and/or Kafka Connect for real-time data processing and integration, Proficiency in Kafka producer/consumer development (using Java , Scala , Python , or other Kafka-compatible languages). Familiarity with NoSQL (e.g., Cassandra , MongoDB ) and SQL databases. Solid understanding of message queuing , event-driven architecture , and pub/sub systems . Must have technical / professional qualifications Bachelors degree in Computer Science with 4+ years of experience with Apache NiFi for data integration and flow management. Background in real-time data processing and data pipeline management . Familiarity with cloud platforms (AWS, Azure, Google Cloud) and cloud-based storage solutions.

Key responsibilities: Understand the programs service catalog and document the list of tasks which has to be performed for each Lead the design, development, and maintenance of ETL processes to extract, transform, and load data from various sources into our data warehouse Implement best practices for data loading, ensuring optimal performance and data quality Utilize your expertise in IDMC to establish and maintain data governance, data quality, and metadata management processes Implement data controls to ensure compliance with data standards, security policies, and regulatory requirements Collaborate with data architects to design and implement scalable and efficient data architectures that support business intelligence and analytics requirements Work on data modeling and schema design to optimize database structures for ETL processes Identify and implement performance optimization strategies for ETL processes, ensuring timely and efficient data loading Troubleshoot and resolve issues related to data integration and performance bottlenecks Collaborate with cross-functional teams, including data scientists, business analysts, and other engineering teams, to understand data requirements and deliver effective solutions Provide guidance and mentorship to junior members of the data engineering team Create and maintain comprehensive documentation for ETL processes, data models, and data flows Ensure that documentation is kept up-to-date with any changes to data architecture or ETL workflows Use Jira for task tracking and project management Implement data quality checks and validation processes to ensure data integrity and reliability Maintain detailed documentation of data engineering processes and solutions Required Skills: Bachelor's degree in Computer Science, Engineering, or a related field Proven experience as a Senior ETL Data Engineer, with a focus on IDMC / IICS Strong proficiency in ETL tools and frameworks (e g , Informatica Cloud, Talend, Apache NiFi) Expertise in IDMC principles, including data governance, data quality, and metadata management Solid understanding of data warehousing concepts and practices Strong SQL skills and experience working with relational databases Excellent problem-solving and analytical skills Qualified candidates should APPLY NOW for immediate consideration! Please hit APPLY to provide the required information, and we will be back in touch as soon as possible Thank you! ABOUT INNOVA SOLUTIONS: Founded in 1998 and headquartered in Atlanta, Georgia, Innova Solutions employs approximately 50,000 professionals worldwide and reports an annual revenue approaching $3 Billion Through our global delivery centers across North America, Asia, and Europe, we deliver strategic technology and business transformation solutions to our clients, enabling them to operate as leaders within their fields Recent Recognitions: One of Largest IT Consulting Staffing firms in the USA Recognized as #4 by Staffing Industry Analysts (SIA 2022) ClearlyRated Client Diamond Award Winner (2020) One of the Largest Certified MBE Companies in the NMSDC Network (2022) Advanced Tier Services partner with AWS and Gold with MS

Seeking a PHP Developer with 1+ year experience in backend service design, implementation, and automation. Ability to integrate multiple systems and optimize technical workflows. Also, support the engineering team in enhancing DevOps tools and internal development processes. Designation: PHP Developer (6 months direct contract with Cimpress) Notice period: Preferred immediate to 30 days notice period. Requirements: 1. 1+ year of experience as a PHP Developer. 2. Solid understanding of PHP frameworks (Symfony preferred). 3. Experience with workflow automation tools (e.g., Apache NiFi). 4. Familiarity with modern DevOps practices and toolchains. 5. Experience with RESTful API development and integration. 6. Proficiency with MySQL or other relational databases. 7. Experience working in remote teams with asynchronous communication. Responsibilities: 1. Write clean, fast, and scalable PHP code. 2. Contribute to designing, developing, and integrating internal tooling for DevOps. 3. Follow industry best practices and contribute to documentation. 4. Design and implement solutions to improve development workflows. 5. Support tool adoption across teams by building reliable components.Develop high-quality, efficient, and scalable PHP code. Nice to Have: 1. Experience with Apache NiFi or similar workflow automation tools. 2. Familiarity with modern DevOps toolchains. Remote First-Culture: In 2020, Cimpress adopted a Remote-First operating model and culture. We heard from our team members that having the freedom, autonomy and trust in each other to work from home and, the ability to operate when they are most productive, empowers everyone to be their best and most brilliant self. Cimpress also provides collaboration spaces for team members to work physically together when it's safe to do so or believe in office working will deliver the best results. Currently we are enabled to hire remote team members in over 20 US States as well as several countries in Europe: Spain, Germany, UK, Czech Republic, the Netherlands and Switzerland. About Us: Led by founder and CEO Robert Keane, Cimpress invests in and helps build customer-focused, entrepreneurial mass customization businesses. Through the personalized physical (and digital) products these companies create, we empower over 17 million global customers to make an impression. Last year, Cimpress generated $3.5B in revenue through customized print products, signage, apparel, packaging and more. The Cimpress family includes a dynamic, international group of businesses and central teams, all working to solve problems, build businesses, innovate and improve.

About the Role: Grade Level (for internal use): 10 Position Title Senior Software Developer The Team Do you love to collaborate & provide solutionsThis team comes together across eight different locations every single day to craft enterprise grade applications that serve a large customer base with growing demand and usage. You will use a wide range of technologies and cultivate a collaborative environment with other internal teams. The Impact We focus primarily developing, enhancing and delivering required pieces of information & functionality to internal & external clients in all client-facing applications. You will have a highly visible role where even small changes have very wide impact. Whats in it for you - Opportunities for innovation and learning new state of the art technologies - To work in pure agile & scrum methodology Responsibilities : Design, and implement software-related projects. Perform analyses and articulate solutions. Design underlying engineering for use in multiple product offerings supporting a large volume of end-users. Develop project plans with task breakdowns and estimates. Manage and improve existing solutions. Solve a variety of complex problems and figure out possible solutions, weighing the costs and benefits. What were Looking For : Basic Qualifications : Bachelor's degree in Computer Science or Equivalent 6+ years related experience Passionate, smart, and articulate developer Strong C#, WPF and SQL skills Experience implementingWeb Services (with WCF, RESTful JSON, SOAP, TCP), Windows Services, and Unit Tests Dependency Injection Able to demonstrate strong OOP skills Able to work well individually and with a team Strong problem-solving skills Good work ethic, self-starter, and results-oriented Interest and experience in Environmental and Sustainability content is a plus Agile/Scrum experience a plus Exposure to Data Engineering & Big Data technologies like Hadoop, Spark/Scala, Nifi & ETL is a plus Preferred Qualifications : Experience on Docker is a plus Experience working in cloud computing environments such as AWS, Azure or GCP Experience with large scale messaging systems such as Kafka or RabbitMQ or commercial systems. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

So, what’s t he r ole all about? As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data systems, as well as working with cross-functional teams to ensure efficient data processing and integration. You will leverage your knowledge of Apache Spark to create robust ETL processes, optimize data workflows, and manage high volumes of structured and unstructured data. How will you make an impact? Design, implement, and maintain data pipelines using Apache Spark for processing large datasets. Work with data engineering teams to optimize data workflows for performance and scalability. Integrate data from various sources, ensuring clean, reliable, and high-quality data for analysis. Develop and maintain data models, databases, and data lakes. Build and manage scalable ETL solutions to support business intelligence and data science initiatives. Monitor and troubleshoot data processing jobs, ensuring they run efficiently and effectively. Collaborate with data scientists, analysts, and other stakeholders to understand business needs and deliver data solutions. Implement data security best practices to protect sensitive information. Maintain a high level of data quality and ensure timely delivery of data to end-users. Continuously evaluate new technologies and frameworks to improve data engineering processes. Have you got what it takes? 8-11 years of experience as a Data Engineer, with a strong focus on Apache Spark and big data technologies. Expertise in Spark SQL , DataFrames , and RDDs for data processing and analysis. Proficient in programming languages such as Python , Scala , or Java for data engineering tasks. Hands-on experience with cloud platforms like AWS , specifically with data processing and storage services (e.g., S3 , BigQuery , Redshift , Databricks ). Experience with ETL frameworks and tools such as Apache Kafka , Airflow , or NiFi . Strong knowledge of data warehousing concepts and technologies (e.g., Redshift , Snowflake , BigQuery ). Familiarity with containerization technologies like Docker and Kubernetes . Knowledge of SQL and relational databases, with the ability to design and query databases effectively. Solid understanding of distributed computing, data modeling, and data architecture principles. Strong problem-solving skills and the ability to work with large and complex datasets. Excellent communication and collaboration skills to work effectively with cross-functional teams. You will have an advantage if you also have: Knowledge of SQL and relational databases, with the ability to design and query databases effectively. Solid understanding of distributed computing, data modeling, and data architecture principles. Strong problem-solving skills and the ability to work with large and complex datasets. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7235 Reporting into: Tech Manager Role Type: Individual Contributor

Responsibilities: * Design and deliver corporate training programs using Python * Ensure proficiency in Python, Pyspark, data structures, NumPy, Pandas, Aws, Azure, GCP Cloud, Data visualization, Big Data tools * Experience in core python skills Food allowance Travel allowance House rent allowance

1. Experienced with asynchronous programming, multithreading, implementing APIs, and Microservices, including Spring Boot 2. Proficiency with SQL Required Candidate profile 5+ years of professional experience in Java 8 or higher -Strong expertise in Spring Boot -Solid understanding of microservices architecture Kafka, Messaging/ streaming stack,Junit, Code Optimization,

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 : Google BigQuery Minimum 3 year(s) of experience is required Educational Qualification : 15 years fulltime education Summary: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using Google BigQuery. Roles & Responsibilities: - Design, develop, and maintain data solutions for data generation, collection, and processing using Google BigQuery. - Create data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. - Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs. - Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency. - Optimize data storage and retrieval processes to ensure efficient and effective use of resources. Professional & Technical Skills: - Must To Have Skills: Experience with Google BigQuery. - Good To Have Skills: Experience with ETL tools such as Apache NiFi or Talend. - Strong understanding of data modeling and database design principles. - Experience with SQL and NoSQL databases. - Experience with data warehousing and data integration technologies. - Familiarity with cloud computing platforms such as AWS or Google Cloud Platform.

Design and Develop Data Flows Integration with Data Sources Data Transformation Error Handling and Monitoring Performance Optimization Collaboration Documentation Security and Compliance Required Candidate profile Apache NiFi and data integration tools ETL concepts Data formats like JSON, XML, and Avro Programming languages such as Java, Python, or Groovy data storage solutions such as Hadoop, Kafka

Dear Candidate, We are hiring a Data Platform Engineer to build and maintain scalable, secure, and reliable data infrastructure for analytics and real-time processing. Key Responsibilities: Design and manage data pipelines, storage layers, and ingestion frameworks. Build platforms for batch and streaming data processing (Spark, Kafka, Flink). Optimize data systems for scalability, fault tolerance, and performance. Collaborate with data engineers, analysts, and DevOps to enable data access. Enforce data governance, access controls, and compliance standards. Required Skills & Qualifications: Proficiency with distributed data systems (Hadoop, Spark, Kafka, Airflow). Strong SQL and experience with cloud data platforms (Snowflake, BigQuery, Redshift). Knowledge of data warehousing, lakehouse, and ETL/ELT pipelines. Experience with infrastructure as code and automation. Familiarity with data quality, security, and metadata management. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

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 : NAMinimum 5 year(s) of experience is required Educational Qualification : A Engineering graduate preferably Computer Science graduate 15 years of full time education Summary :Overall 7+ years of experience In Industry including 4 Years of experience As Developer using Big Data Technologies like Databricks/Spark and Hadoop Ecosystems - Hands on experience on Unified Data Analytics with Databricks, Databricks Workspace User Interface, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL - Good understanding of Spark Architecture with Databricks, Structured Streaming. Setting Up cloud platform with Databricks, Databricks Workspace- Working knowledge on distributed processing, data warehouse concepts, NoSQL, huge amount of data processing, RDBMS, Testing, Data management principles, Data mining and Data modellingAs a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components using Databricks Unified Data Analytics Platform. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Roles & Responsibilities:- Assist with the blueprint and design of the data platform components using Databricks Unified Data Analytics Platform.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data pipelines using Databricks Unified Data Analytics Platform.- Troubleshoot and resolve issues related to data pipelines and data platform components.- Ensure data quality and integrity by implementing data validation and testing procedures. Professional & Technical Skills: - Must To Have Skills: Experience with Databricks Unified Data Analytics Platform.- Must To Have Skills: Strong understanding of data modeling and database design principles.- Good To Have Skills: Experience with Apache Spark and Hadoop.- Good To Have Skills: Experience with cloud-based data platforms such as AWS or Azure.- Proficiency in programming languages such as Python or Java.- Experience with data integration and ETL tools such as Apache NiFi or Talend. Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform.- The ideal candidate will possess a strong educational background in computer science, software engineering, or a related field, along with a proven track record of delivering impactful data-driven solutions.- This position is based at our Chennai, Bengaluru, Hyderabad and Pune office. Qualification A Engineering graduate preferably Computer Science graduate 15 years of full time education

Power Bi and AAS expert (Strong SC or Specialist Senior) Should have hands-on experience of Data Modelling in Azure SQL Data Warehouse and Azure Analysis Service Should be able to write and test Dex queries. Should be able generate Paginated Reports in Power BI Should have minimum 3 Years working experience in delivering projects in Power Bi Must Have:- 3 to 8 years of experience working on design, develop, and deploy ETL processes on Databricks to support data integration and transformation. Optimize and tune Databricks jobs for performance and scalability. Experience with Scala and/or Python programming languages. Proficiency in SQL for querying and managing data. Expertise in ETL (Extract, Transform, Load) processes. Knowledge of data modeling and data warehousing concepts. Implement best practices for data pipelines, including monitoring, logging, and error handling. Excellent problem-solving skills and attention to detail. Excellent written and verbal communication skills Strong analytical and problem-solving abilities. Experience in version control systems (e.g., Git) to manage and track changes to the codebase. Document technical designs, processes, and procedures related to Databricks development. Stay current with Databricks platform updates and recommend improvements to existing process. Good to Have:- Agile delivery experience. Experience with cloud services, particularly Azure (Azure Databricks), AWS (AWS Glue, EMR), or Google Cloud Platform (GCP). Knowledge of Agile and Scrum Software Development Methodologies. Understanding of data lake architectures. Familiarity with tools like Apache NiFi, Talend, or Informatica. Skills in designing and implementing data models.

Only for Immediate Joiners Core Responsibility: The project team will be spread between Paris and Bangalore. So, the candidate with an experience of 3-6 years is expected to work and coordinate on daily basis with the remote teams. Ability to learn new technology / framework / methodology. Hands-on individual responsible for producing excellent quality of code, adhering to expected coding standards and industry best practices. Must have strong knowledge and working experience on Big DATA ecosystem. Must have strong experience in SPARK/SCALA , NIFI, KAFKA, HIVE, PIG. Strong knowledge and experience working on HQL (hive Query Language) • Must have strong strong expertise in Debugging and Fixing Production Issues on BIG DATA eco System. Knowledge on code version management using Git & Jenkins, Nexus. • High levels of ownership and commitment on deliverables. Strong and Adaptive Communication Skills; Should be comfortable interacting with Paris counterparts to probe a technical problem or clarify requirement specifications. KEY SKILLS: Sound knowledge on SPARK/SCALA, NIFI, KAFKA - Must Have Sound Knowledge on HQL Knowledge on Kibana, Elastic Search Log stash Good to know Basic Awareness of CD/CI concepts & Technologies Big Data Ecosystem Good to know

Key Responsibilities: Design, develop, and maintain scalable data pipelines using Snowflake . Develop and optimize complex SQL queries , views, and stored procedures. Migrate data from legacy systems to Snowflake using ETL tools like Informatica, Talend, dbt, or Matillion . Implement data modeling techniques (Star, Snowflake schemas) and maintain data dictionary. Ensure performance tuning, data quality, and security across all Snowflake objects. Integrate Snowflake with BI tools like Tableau, Power BI , or Looker . Collaborate with data analysts, data scientists, and business teams to understand requirements and deliver solutions. Monitor and manage Snowflake environments using tools like SnowSight, Snowsql , or CloudWatch . Participate in code reviews and enforce best practices for data governance and security. Develop automation scripts using Python, Shell , or Airflow for data workflows. Required Skills: 6+ years of experience in data engineering / data warehousing . 3+ years hands-on experience with Snowflake Cloud Data Platform . Strong expertise in SQL, performance tuning, data modeling, and query optimization . Experience with ETL tools like Informatica, Talend, Apache NiFi , or dbt . Proficient in cloud platforms: AWS / Azure / GCP (preferably AWS). Good understanding of DevOps/CI-CD principles for Snowflake deployments. Hands-on experience with scripting languages: Python, Bash, etc. Knowledge of RBAC, masking policies, row access policies in Snowflake.

Position Name: Data Engineer Location: Coimbatore (Hybrid 3 days per week) Work Shift Timing: 1.30 pm to 10.30 pm (IST) Mandatory Skills: Hadoop, Spark, Python, Data bricks Good to have: Java/Scala The Role: • Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights. • Constructing infrastructure for efficient ETL processes from various sources and storage systems. • Leading the implementation of algorithms and prototypes to transform raw data into useful information. • Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations. • Creating innovative data validation methods and data analysis tools. • Ensuring compliance with data governance and security policies. • Interpreting data trends and patterns to establish operational alerts. • Developing analytical tools, programs, and reporting mechanisms. • Conducting complex data analysis and presenting results effectively. • Preparing data for prescriptive and predictive modeling. • Continuously exploring opportunities to enhance data quality and reliability. • Applying strong programming and problem-solving skills to develop scalable solutions. Requirements: • Experience in the Big Data technologies (Hadoop, Spark, Nifi, Impala). • Hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines. • High proficiency in Scala/Java and Spark for applied large-scale data processing • Expertise with big data technologies, including Spark, Data Lake, and Hive. • Solid understanding of batch and streaming data processing techniques. • Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion. • Expert-level ability to write complex, optimized SQL queries across extensive data volumes. • Experience on HDFS, Nifi, Kafka. • Experience on Apache Ozone, Delta Tables, Databricks, Axon(Kafka), Spring Batch, Oracle DB • Familiarity with Agile methodologies. • Obsession for service observability, instrumentation, monitoring, and alerting. • Knowledge or experience in architectural best practices for building data lakes Interested candidates can share their resume at Neesha1@damcogroup.com