259 Data Flow Jobs - Page 7

Skill required: Tech for Operations - Agile Project Management Designation: AI/ML Computational Science Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationAn iterative, incremental method of managing the design and build activities of engineering, information technology and other business areas that aim to provide new product or service development in a highly flexible and interactive manner. It requires individuals and interactions from the relevant business to respond to change, customer collaboration, and management openness to non-hierarchical forms of leadership. What are we looking for? Results orientation Problem-solving skills Ability to perform under pressure Strong analytical skills Written and verbal communication Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : Cloud Services Engineer Project Role Description : Act as liaison between the client and Accenture operations teams for support and escalations. Communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Must have skills : Managed File Transfer Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Services Engineer, you will act as a liaison between the client and Accenture operations teams for support and escalations. You will communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Ensure effective communication between client and operations teams. Analyze service delivery health and address performance issues. Conduct performance meetings to share data and trends. Professional & Technical Skills: Must To Have Skills:Proficiency in Managed File Transfer. Strong understanding of cloud orchestration and automation. Experience in SLA management and performance analysis. Knowledge of IT service delivery and escalation processes. Additional Information: The candidate should have a minimum of 5 years of experience in Managed File Transfer. This position is based at our Pune office. A 15 years full time education is required. Qualifications 15 years full time education

Role 1 - GCP Data Engineer Must have skills /Mandatory Skills GCP, Big Query, Dataflow, Cloud Composer Role 2. Big Data Engineer Must have skills /Mandatory Skills -Big Data, PySpark, Scala, Python Role 3 - GCP DevOps Engineer Must have skills /Mandatory Skills – GCP DevOps Experience Range – 5+ Years Location – Only Pune & Hyderabad, If you are applying from outside Pune or Hyd, then you have to relocate to Pune or Hyd . Work Mode – Min 2 days are mandatory to work from home. Salary – 12-16 LPA Point to be remember Pls fill the Candidate Summary Sheet. Not Considering more than 30 days’ notice period. Highlights of this role. It’s a long term role. High Possibility of conversion within 6 Months or After 6 months ( if you perform well). Interview -Total 2 rounds of Interview ( Both Virtual), but one face to face meeting is mandatory @ any location - Pune/Hyderabad /Bangalore /Chennai. UAN Verification will be done in Background Check. Any overlapping in past employment will eliminate you. Last 4 Years Continuous PF deduction is mandatory. One face to face meeting is mandatory, Otherwise we can’t onboard you. Client Company – One of Leading Technology Consulting Payroll Company – One of Leading IT Services & Staffing Company ( This company has a presence in India, UK, Europe , Australia , New Zealand, US, Canada, Singapore, Indonesia, and Middle east. Do not change the subject line or do not create new email while sharing /applying for this position. Pls reply on this email thread only. Role 1 - GCP Data Engineer Must have skills /Mandatory Skills – GCP, Big Query, Dataflow, Cloud Composer About the Role: We are seeking a highly skilled and passionate GCP Data Engineer to join our growing data team. In this role, you will be instrumental in designing, building, and maintaining scalable and robust data pipelines and solutions on Google Cloud Platform (GCP). You will work closely with data scientists, analysts, and other stakeholders to translate business requirements into efficient data architectures, enabling data-driven decision-making across the organization. Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field. Min 5+ years of experience (e.g., 3-8 years) as a Data Engineer, with a strong focus on Google Cloud Platform (GCP). Mandatory hands-on experience with core GCP data services: BigQuery (advanced SQL, data modeling, query optimization) Dataflow (Apache Beam, Python/Java SDK) Cloud Composer / Apache Airflow for workflow orchestration Cloud Storage (GCS) Cloud Pub/Sub for messaging/streaming Strong programming skills in Python (preferred) or Java/Scala for data manipulation and pipeline development. Proficiency in SQL and experience with relational and NoSQL databases. Experience with data warehousing concepts, ETL/ELT processes, and data modeling techniques. Understanding of distributed systems and big data technologies (e.g., Spark, Hadoop concepts, Kafka). Familiarity with CI/CD practices and tools. Role 2. Big Data Engineer Must have skills /Mandatory Skills -Big Data, PySpark, Scala, Python About the Role: We are looking for an experienced and passionate Big Data Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and maintaining scalable, high-performance data processing systems and pipelines capable of handling vast volumes of structured and unstructured data. You will play a crucial role in enabling our data scientists, analysts, and business teams to derive actionable insights from complex datasets. Qualifications : bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Min 5 years of proven experience as a Big Data Engineer or a similar role. Extensive hands-on experience with Apache Spark (PySpark, Scala) for data processing. Strong expertise in the Hadoop ecosystem (HDFS, Hive, MapReduce). Proficiency in Python and/or Scala/Java. Solid SQL skills and experience with relational databases. Experience designing and building complex ETL/ELT pipelines. Familiarity with data warehousing concepts and data modeling techniques (star schema, snowflake, data vault). Understanding of distributed computing principles. Excellent problem-solving, analytical, and communication skills Role 3r - GCP DevOps Engineer Must have skills /Mandatory Skills – GCP DevOps We are seeking a highly motivated and experienced GCP DevOps Engineer to join our innovative engineering team. You will be responsible for designing, implementing, and maintaining robust, scalable, and secure cloud infrastructure and automation pipelines on Google Cloud Platform (GCP). This role involves working closely with development, operations, and QA teams to streamline the software delivery lifecycle, enhance system reliability, and promote a culture of continuous improvement. Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 5 years of experience in a DevOps or SRE role, with significant hands-on experience on Google Cloud Platform (GCP). Strong expertise in core GCP services relevant to DevOps: Compute Engine, GKE, Cloud SQL, Cloud Storage, VPC, Cloud Load Balancing, IAM. Proficiency with Infrastructure as Code (IaC) tools, especially Terraform. Extensive experience in designing and implementing CI/CD pipelines using tools like Cloud Build, Jenkins, or GitLab CI. Hands-on experience with containerization (Docker) and container orchestration (Kubernetes/GKE). Strong scripting skills in Python and Bash/Shell. Experience with monitoring and logging tools (Cloud Monitoring, Prometheus, Grafana, ELK stack). Solid understanding of networking concepts (TCP/IP, DNS, Load Balancers, VPNs) in a cloud environment. Familiarity with database concepts and experience managing cloud databases (e.g., Cloud SQL, Firestore). *** Mandatory to share ***Candidate Summary Sheet*** Interested parties can share their resume at (shant@harel-consulting.com) along with below details Applying for which role ( Pls mention the role name)- Your Name – Contact NO – Email ID – Do you have valid passport – Total Experience – Role 1 . Experience in GCP - Experience in Big Query - Experience in Data Flow - Experience in Cloud Composer – Experience in Apache Airflow – Experience in Python OR Java OR Scala and how much – Role 2nd Experience in Big data- Experience in Hive – Experience in Python OR Java OR Scala and how much – Experience in Pyspark- Role 3. Experience in GCP Devops – Experience in Python Current CTC – Expected CTC – What is your notice period in your current Company- Are you currently working or not- If not working then when you have left your last company – Current location – Preferred Location – It’s a Contract to Hire role, Are you ok with that- Highest Qualification – Current Employer (Payroll Company Name) Previous Employer (Payroll Company Name)- 2nd Previous Employer (Payroll Company Name) – 3rd Previous Employer (Payroll Company Name)- Are you holding any Offer – Are you Expecting any offer - Are you open to consider Contract to Hire role , It’s a C2H Role- PF Deduction is happening in Current Company – PF Deduction happened in 2nd last Employer- PF Deduction happened in 3 last Employer – Latest Photo - If incase you are working with a company whose employee strength is less than 2000 employees, than its mandatory to share UAN Service history. BR Shantpriya Harel Consulting shant@harel-consulting.com 9582718094

JD - Required skills: 5+ years of industry experience in the field of Data Engineering support and enhancement. Proficient in Google Cloud Platform (GCP) services such as Dataflow, BigQuery, Cloud Storage and Pub/Sub. Strong understanding of data pipeline architectures and ETL processes. Experience with Python programming language in terms of data processing. Knowledge of SQL and experience with relational databases. Familiarity with version control systems like Git.Ability to analyze, troubleshoot, and complex data pipeline issues. Software engineering experience in optimizing data pipelines to improve performance and reliability. Continuously optimize data pipeline efficiency and reduce operational costs and reduce number of issues/failures. Automate repetitive tasks in data processing and management Experience in monitoring and alerting for Data Pipelines. Continuously improve data pipeline reliability through analysis and testing Perform SLA-oriented monitoring for critical pipelines and provide suggestions as well implement post business approval for SLA adherence if needed. Monitor performance and reliability of GCP data pipelines, Informatica ETL workflows, MDM and Control-M jobs. Maintain infrastructure reliability for GCP data pipelines, Informatica ETL workflows, MDM and Control-M jobs. Conduct post-incident reviews and implement improvements for data pipelines. Develop and maintain documentation for data pipeline systems and processes. Excellent communication and documentation skills. Strong problem-solving and analytical skills. Open to work in a 24X7 shift.

Preferred candidate profile GCP Cloud Data Engineers having strong experience in cloud migrations and pipelines with 5+ years of experience • Good understanding of Database and Data Engineering concepts. • Experience in cloud migration is must • Experience in Data Ingestion and processing from difference resources • Conceptual knowledge of understanding data, building ETL pipelines, data integrations, and ODS/DW. • Hands-on experience in SQL and Python • Experience in java development is required • Hands-on working experience in Google Cloud Platform Data Flow, Data Transfer services, AirFlow • Hands-on Working experience in Data Preprocessing techniques using DataFlow, DataProc, DataPrep • Hands-on working experience in BigQuery • Knowledge in Kafka, PubSub, GCS & Schedulers are required • Proficient with PostgreSQL is preferred • Experience with both real time and scheduled pipelines are preferred • Cloud certification is a plus • Experience in implementing ETL pipelines • Familiar with MicroServices or Enterprise Application Integration Patterns is a plus"

Position : Business Analyst Company Name : POSHS CINOTI PVT. LTD. Website : www.poshscinoti.com Role & responsibilities Collaborate with stakeholders to gather, analyze, and document business requirements across departments such as production, supply chain, and maintenance. Map current and future business processes and identify opportunities for process optimization and automation. Translate business needs into functional and technical specifications for development or configuration. Assist in system enhancements, including requirement validation, functional testing, and deployment. Work closely with development teams to ensure technical feasibility and alignment with business goals. Generate reports, dashboards, and perform data analysis to support operations and management decisions. Provide user training and support during system go-live or process changes. Technical Responsibilities: Work with SQL queries to extract and analyze operational data. Understand basic concepts of APIs, data flows, and system architecture. Support the testing and troubleshooting of ERP interfaces and custom reports. Collaborate with IT teams to ensure data consistency, accuracy, and integrity across systems. If You are interested then please share with us your below listed details: CV/Profile Current Designation Current CTC Expected CTC Availability of interview

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function: Career Programs Job Sub Function: Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Mumbai, India Job Description: This job has been posted to onboard pre-identified candidates. Please do not apply if not invited. This job has been posted to onboard pre-identified candidates. Please do not apply if not invited.

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 : Snowflake Data Warehouse, Core Banking, PySpark Good to have skills : AWS BigDataMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with data governance and data quality frameworks. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

6+ years of professional experience Experience developing microservices and cloud native apps using Java/J2EE, REST APIs, Spring Core, Spring MVC Framework, Spring Boot Framework JPA (Java Persistence API) (Or any other ORM), Spring Security and similar tech stacks (Open source and proprietary) Experience working with Unit testing using framework such as Junit, Mockito, JBehave Build and deploy services using Gradle, Maven, Jenkins etc. as part of CI/CD process Experience working in Google Cloud Platform Experience with any Relational Database (Oracle, PostgreSQL etc.)

6+ years of professional experience Experience developing microservices and cloud native apps using Java/J2EE, REST APIs, Spring Core, Spring MVC Framework, Spring Boot Framework JPA (Java Persistence API) (Or any other ORM), Spring Security and similar tech stacks (Open source and proprietary) Experience working with Unit testing using framework such as Junit, Mockito, JBehave Build and deploy services using Gradle, Maven, Jenkins etc. as part of CI/CD process Experience working in Google Cloud Platform Experience with any Relational Database (Oracle, PostgreSQL etc.)

6+ years of professional experience Experience developing microservices and cloud native apps using Java/J2EE, REST APIs, Spring Core, Spring MVC Framework, Spring Boot Framework JPA (Java Persistence API) (Or any other ORM), Spring Security and similar tech stacks (Open source and proprietary) Experience working with Unit testing using framework such as Junit, Mockito, JBehave Build and deploy services using Gradle, Maven, Jenkins etc. as part of CI/CD process Experience working in Google Cloud Platform Experience with any Relational Database (Oracle, PostgreSQL etc.)

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Problem-solving skillsAbility to perform under pressureResults orientationStrong analytical skillsWritten and verbal communication Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : Cloud Services Engineer Project Role Description : Act as liaison between the client and Accenture operations teams for support and escalations. Communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Must have skills : Cloud Based Service Management Process Design Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Services Engineer, you will act as a vital link between clients and Accenture's operations teams, facilitating support and managing escalations. Your typical day will involve communicating the health of service delivery to stakeholders, addressing performance issues, and ensuring that cloud orchestration and automation capabilities are functioning optimally. You will hold performance meetings to discuss data and trends, ensuring that services meet the expected service level agreements with minimal downtime, thereby contributing to the overall efficiency and effectiveness of cloud services. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate regular communication between clients and internal teams to ensure alignment on service delivery.- Analyze performance metrics and prepare reports to inform stakeholders of service health and areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Based Service Management Process Design.- Strong understanding of cloud service models and deployment strategies.- Experience with cloud orchestration tools and automation frameworks.- Ability to analyze and interpret service performance data.- Familiarity with incident management and escalation processes. Additional Information:- The candidate should have minimum 5 years of experience in Cloud Based Service Management Process Design.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Services Engineer Project Role Description : Act as liaison between the client and Accenture operations teams for support and escalations. Communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Must have skills : SUSE Linux Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Services Engineer, you will act as a liaison between the client and Accenture operations teams for support and escalations. You will communicate service delivery health to all stakeholders, explain any performance issues or risks, and ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. 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.- Proactively identify and address potential issues in Cloud services.- Collaborate with cross-functional teams to optimize Cloud orchestration processes.- Develop and implement strategies to enhance Cloud automation capabilities.- Analyze performance data to identify trends and areas for improvement.- Provide technical guidance and support to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in SUSE Linux Administration.- Strong understanding of Cloud orchestration and automation.- Experience in managing and troubleshooting Cloud services.- Knowledge of scripting languages for automation tasks.- Hands-on experience with monitoring and alerting tools.- Good To Have Skills: Experience with DevOps practices. Additional Information:- The candidate should have a minimum of 3 years of experience in SUSE Linux Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application, model and design the application data structure, storage, and integration. You will play a crucial role in shaping the data architecture of the organization and ensuring seamless data flow. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead data architecture discussions and decisions within the organization.- Collaborate with cross-functional teams to design and implement data solutions.- Develop and maintain data models, data dictionaries, and data flow diagrams. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 15 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : AWS Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly across the organization, contributing to the overall efficiency and effectiveness of data management practices. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Develop and maintain documentation related to data architecture and design. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Analytics.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Familiarity with cloud data storage solutions and architectures.- Ability to analyze and optimize data workflows for performance. Additional Information:- The candidate should have minimum 5 years of experience in AWS Analytics.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Warm welcome from SP Staffing Services! Reaching out to you regarding permanent opportunity !! Job Description: Exp: 6-12 yrs Location: Hyderabad/Bangalore/Pune/Delhi Skill: GCP Data Engineer - Proficiency in programming languages: Python - Expertise in data processing frameworks: Apache Beam (Data Flow), Kafka, - Hands-on experience with GCP services: Big Query, Dataflow, Composer, Spanner - Knowledge of data modeling and database design - Experience in ETL (Extract, Transform, Load) processes - Familiarity with cloud storage solutions - Strong problem-solving abilities in data engineering challenges - Understanding of data security and scalability - Proficiency in relevant tools like Apache Airflow Interested can share your resume to sangeetha.spstaffing@gmail.com with below inline details. Full Name as per PAN: Mobile No: Alt No/ Whatsapp No: Total Exp: Relevant Exp in GCP: Rel Exp in Big Query: Rel Exp in Composer: Rel Exp in Python: Current CTC: Expected CTC: Notice Period (Official): Notice Period (Negotiable)/Reason: Date of Birth: PAN number: Reason for Job Change: Offer in Pipeline (Current Status): Availability for virtual interview on weekdays between 10 AM- 4 PM(plz mention time): Current Res Location: Preferred Job Location: Whether educational % in 10th std, 12th std, UG is all above 50%? Do you have any gaps in between your education or Career? If having gap, please mention the duration in months/year:

About Us Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. WHY JOIN CAPCO You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients Role Description: Over 10 years experience in risk, either in an investment bank or clearing house. Excellent Analytical skills and Risk Management concepts . Strong knowledge on Collateral product Very good understanding of the regulatory background Strong understanding of risk data and E2E data flows combined with strong data analysis skills Excellent project documentation skills and good experience with project delivery and test governance process through Agile methodology. Evidence of covering the full project lifecycle from inception through to system delivery with IT and process embedding with the sponsoring business function. Strong stakeholder management skills- Ability to collaborate with business and technology teams to understand requirements and share with the technical team

: Job TitleSenior Engineer LocationPune, India Corporate TitleAVP Role Description Investment Banking is technology centric businesses, with an increasing move to real-time processing, an increasing appetite from customers for integrated systems and access to supporting data. This means that technology is more important than ever for business. The IB CARE Platform aims to increase the productivity of both Google Cloud and on-prem application development by providing a frictionless build and deployment platform that offers service and data reusability. The platform provides the chassis and standard components of an application ensuring reliability, usability and safety and gives on-demand access to services needed to build, host and manage applications on the cloud/on-prem. In addition to technology services the platform aims to have compliance baked in, enforcing controls/security reducing application team involvement in SDLC and ORR controls enabling teams to focus more on application development and release to production faster. We are looking for a platform engineer to join a global team working across all aspects of the platform from GCP/on-prem infrastructure and application deployment through to the development of CARE based services. Deutsche Bank is one of the few banks with the scale and network to compete aggressively in this space, and the breadth of investment in this area is unmatched by our peers. Joining the team is a unique opportunity to help build a platform to support some of our most mission critical processing systems. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities As a CARE platform engineer you will be working across the board on activities to build/support the platform and liaising with tenants. To be successful in this role the below are key responsibility areas: Responsible for managing and monitoring cloud computing systems and providing technical support to ensure the systems efficiency and security Work with platform leads and platform engineers at technical level. Liaise with tenants regarding onboarding and providing platform expertise. Contribute to the platform offering as part of Sprint deliverables. Support the production platform as part of the wider team. Your skills and experience Understanding of GCP and services such as GKE, IAM, identity services and Cloud SQL. Kubernetes/Service Mesh configuration. Experience in IaaS tooling such as Terraform. Proficient in SDLC / DevOps best practices. Github experience including Git workflow. Exposure to modern deployment tooling, such as ArgoCD, desirable. Programming experience (such as Java/Python) desirable. A strong team player comfortable in a cross-cultural and diverse operating environment Result oriented and ability to deliver under tight timelines. Ability to successfully resolve conflicts in a globally matrix driven organization. Excellent communication and collaboration skills Must be comfortable with navigating ambiguity to extract meaningful risk insights. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Back At BCE Global Tech, immerse yourself in exciting projects that are shaping the future of both consumer and enterprise telecommunications This involves building innovative mobile apps to enhance user experiences and enable seamless connectivity on-the-go Thrive in diverse roles like Full Stack Developer, Backend Developer, UI/UX Designer, DevOps Engineer, Cloud Engineer, Data Science Engineer, and Scrum Master; at a workplace that encourages you to freely share your bold and different ideas If you are passionate about technology and eager to make a difference, we want to hear from you! Apply now to join our dynamic team in Bengaluru We are seeking a talented Site Reliability Engineer (SRE) to join our team The ideal candidate will have a strong background in software engineering and systems administration, with a passion for building scalable and reliable systems As an SRE, you will collaborate with development and operations teams to ensure our services are reliable, performant, and highly available Key Responsibilities "Ensure the 24/7 operations and reliability of data services in our production GCP and on-premise Hadoop environments Collaborate with the data engineering development team to design, build, and maintain scalable, reliable, and secure data pipelines and systems Develop and implement monitoring, alerting, and incident response strategies to proactively identify and resolve issues before they impact production Drive the implementation of security and reliability best practices across the software development life cycle Contribute to the development of tools and automation to streamline the management and operation of data services Participate in on-call rotation and respond to incidents in a timely and effective manner Continuously evaluate and improve the reliability, scalability, and performance of data services" Technology Skills "4+ years of experience in site reliability engineering or a similar role Strong experience with Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Pub/Sub, and Cloud Storage Experience with on-premise Hadoop environments and related technologies (HDFS, Hive, Spark, etc ) Proficiency in at least one programming language (Python, Scala, Java, Go, etc ) Required qualifications to be successful in this role Bachelors degree in computer science engineering, or related field 8 -10 years of experience as a SRE Proven experience as an SRE, DevOps engineer, or similar role Strong problem-solving skills and ability to work under pressure Excellent communication and collaboration skills Flexible to work in EST time zones ( 9-5 EST) Additional Information Job Type Full Time Work ProfileHybrid (Work from Office/ Remote) Years of Experience8-10 Years LocationBangalore What We Offer Competitive salaries and comprehensive health benefits Flexible work hours and remote work options Professional development and training opportunities A supportive and inclusive work environment

Back At BCE Global Tech, immerse yourself in exciting projects that are shaping the future of both consumer and enterprise telecommunications This involves building innovative mobile apps to enhance user experiences and enable seamless connectivity on-the-go Thrive in diverse roles like Full Stack Developer, Backend Developer, UI/UX Designer, DevOps Engineer, Cloud Engineer, Data Science Engineer, and Scrum Master; at a workplace that encourages you to freely share your bold and different ideas If you are passionate about technology and eager to make a difference, we want to hear from you! Apply now to join our dynamic team in Bengaluru We are seeking a talented Site Reliability Engineer (SRE) to join our team The ideal candidate will have a strong background in software engineering and systems administration, with a passion for building scalable and reliable systems As an SRE, you will collaborate with development and operations teams to ensure our services are reliable, performant, and highly available Key Responsibilities "Ensure the 24/7 operations and reliability of data services in our production GCP and on-premise Hadoop environments Collaborate with the data engineering development team to design, build, and maintain scalable, reliable, and secure data pipelines and systems Develop and implement monitoring, alerting, and incident response strategies to proactively identify and resolve issues before they impact production Drive the implementation of security and reliability best practices across the software development life cycle Contribute to the development of tools and automation to streamline the management and operation of data services Participate in on-call rotation and respond to incidents in a timely and effective manner Continuously evaluate and improve the reliability, scalability, and performance of data services" Technology Skills 4+ years of experience in site reliability engineering or a similar role Strong experience with Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Pub/Sub, and Cloud Storage Experience with on-premise Hadoop environments and related technologies (HDFS, Hive, Spark, etc ) Proficiency in at least one programming language (Python, Scala, Java, Go, etc ) Required Qualifications To Be Successful In This Role Bachelors degree in computer science engineering, or related field 8 -10 years of experience as a SRE Proven experience as an SRE, DevOps engineer, or similar role Strong problem-solving skills and ability to work under pressure Excellent communication and collaboration skills Flexible to work in EST time zones ( 9-5 EST) Additional Information Job Type Full Time Work ProfileHybrid (Work from Office/ Remote) Years of Experience8-10 Years LocationBangalore What We Offer Competitive salaries and comprehensive health benefits Flexible work hours and remote work options Professional development and training opportunities A supportive and inclusive work environment

Back About UsBCE Global Tech is a dynamic and innovative company dedicated to pushing the boundaries of technology We are on a mission to modernize global connectivity, one connection at a time Our goal is to build the highway to the future of communications, media, and entertainment, emerging as a powerhouse within the technology landscape in India We bring ambitions to life through design thinking that bridges the gaps between people, devices, and beyond, fostering unprecedented customer satisfaction through technology At BCE Global Tech, we are guided by our core values of innovation, customer-centricity, and a commitment to progress We harness cutting-edge technology to provide business outcomes with positive societal impact Our team of thought-leaders is pioneering advancements in 5G, MEC, IoT, and cloud-native architecture We offer continuous learning opportunities, innovative projects, and a collaborative work environment that empowers our employees to grow and succeed Responsibilities Lead the migration of data pipelines from Hadoop to Google Cloud Platform (GCP) Design, develop, and maintain data workflows using Airflow and custom flow solutions Implement infrastructure as code using Terraform Develop and optimize data processing applications using Java Spark or Python Spark Utilize Cloud Run and Cloud Functions for serverless computing Manage containerized applications using Docker Understand and enhance existing Hadoop pipelines Write and execute unit tests to ensure code quality Deploy data engineering solutions in production environments Craft and optimize SQL queries for data manipulation and analysis Requirements 7-8 years of experience in data engineering or related fields Proven experience with GCP migration from Hadoop pipelines Proficiency in Airflow and custom flow solutions Strong knowledge of Terraform for infrastructure management Expertise in Java Spark or Python Spark Experience With Cloud Run And Cloud Functions Experience with Data flow, DateProc and Cloud monitoring tools in GCP Familiarity with Docker for container management Solid understanding of Hadoop pipelines Ability to write and execute unit tests Experience with deployments in production environments Strong SQL query skills Skills Excellent teamwork and collaboration abilities Quick learner with a proactive attitude Strong problem-solving skills and attention to detail Ability to work independently and as part of a team Effective communication skills Why Join Us Opportunity to work with cutting-edge technologies Collaborative and supportive work environment Competitive salary and benefits Career growth and development opportunities

Data Transformation: Utilize Data Build Tool (dbt) to transform raw data into curated data models according to business requirements. Implement data transformations and aggregations to support analytical and reporting needs. Orchestration and Automation: Design and implement automated workflows using Google Cloud Composer to orchestrate data pipelines and ensure timely data delivery. Monitor and troubleshoot data pipelines, identifying and resolving issues proactively. Develop and maintain documentation for data pipelines and workflows. GCP Expertise: Leverage GCP services, including BigQuery, Cloud Storage, and Pub/Sub, to build a robust and scalable data platform. Optimize BigQuery performance and cost through efficient query design and data partitioning. Implement data security and access controls in accordance with banking industry standards. Collaboration and Communication: Collaborate with Solution Architect and Data Modeler to understand data requirements and translate them into technical solutions. Communicate effectively with team members and stakeholders, providing regular updates on project progress. Participate in code reviews and contribute to the development of best practices. Data Pipeline Development: Design, develop, and maintain scalable and efficient data pipelines using Google Cloud Dataflow to ingest data from various sources, including relational databases (RDBMS), data streams, and files. Implement data quality checks and validation processes to ensure data accuracy and consistency. Optimize data pipelines for performance and cost-effectiveness. Banking Domain Knowledge (Preferred): Understanding of banking data domains, such as customer data, transactions, and financial products. Familiarity with regulatory requirements and data governance standards in the banking industry. Required Experience: Bachelor's degree in computer science, Engineering, or a related field. ETL Knowledge. 4-9 years of experience in data engineering, with a focus on building data pipelines and data transformations. Strong proficiency in SQL and experience working with relational databases. Hands-on experience with Google Cloud Platform (GCP) services, including Dataflow, BigQuery, Cloud Composer, and Cloud Storage. Experience with data transformation tools, preferably Data Build Tool (dbt). Proficiency in Python or other scripting languages is a plus. Experience with data orchestration and automation. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Experience with data streams like Pub/Sub or similar. Experience in working with files such as CSV, JSON and Parquet. Primary Skills: GCP, Dataflow, BigQuery, Cloud Composer, Cloud Storage, Data Pipeline, Composer, SQL, DBT, DWH Concepts. Secondary Skills: Python, Banking Domain knowledge, pub/sub, Cloud certifications (e.g. Data engineer), Git or any other version control system.

Salary: 8 to 24 LPA Exp: 3 to 7 years Location: Gurgaon (Hybrid) Notice: Immediate to 30 days..!! Job Title: Senior Data Engineer Job Summary: We are looking for an experienced Senior Data Engineer with 5+ years of hands-on experience in cloud data engineering platforms, specifically AWS, Databricks, and Azure. The ideal candidate will play a critical role in designing, building, and maintaining scalable data pipelines and infrastructure to support our analytics and business intelligence initiatives. Key Responsibilities: Design, develop, and optimize scalable data pipelines using AWS services (e.g., S3, Glue, Redshift, Lambda). Build and maintain ETL/ELT workflows leveraging Databricks and Apache Spark for processing large datasets. Work extensively with Azure data services such as Azure Data Lake, Azure Synapse, Azure Data Factory, and Azure Databricks. Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions. Ensure data quality, reliability, and security across multiple cloud platforms. Monitor and troubleshoot data pipelines, implement performance tuning, and optimize resource usage. Implement best practices for data governance, metadata management, and documentation. Stay current with emerging cloud data technologies and industry trends to recommend improvements. Required Qualifications: 5+ years of experience in data engineering with strong expertise in AWS , Databricks , and Azure cloud platforms. Hands-on experience with big data processing frameworks, particularly Apache Spark. Proficient in building complex ETL/ELT pipelines and managing data workflows. Strong programming skills in Python, Scala, or Java. Experience working with structured and unstructured data in cloud storage solutions. Knowledge of SQL and experience with relational and NoSQL databases. Familiarity with CI/CD pipelines and DevOps practices in cloud environments. Strong analytical and problem-solving skills with an ability to work independently and in teams. Preferred Skills: Experience with containerization and orchestration tools (Docker, Kubernetes). Familiarity with machine learning pipelines and tools. Knowledge of data modeling, data warehousing, and analytics architecture.

Salary: 8 to 24 LPA Exp: 3 to 7 years Location: Gurgaon (Hybrid) Notice: Immediate to 30 days..!! Job Profile: Experienced Data Engineer with a strong foundation in designing, building, and maintaining scalable data pipelines and architectures. Skilled in transforming raw data into clean, structured formats for analytics and business intelligence. Proficient in modern data tools and technologies such as SQL, T-SQL, Python, Databricks, and cloud platforms (Azure). Adept at data wrangling, modeling, ETL/ELT development, and ensuring data quality, integrity, and security. Collaborative team player with a track record of enabling data-driven decision-making across business units. As a Data engineer, Candidate will work on the assignments for one of our Utilities clients. Collaborating with cross-functional teams and stakeholders involves gathering data requirements, aligning business goals, and translating them into scalable data solutions. The role includes working closely with data analysts, scientists, and business users to understand needs, designing robust data pipelines, and ensuring data is accessible, reliable, and well-documented. Regular communication, iterative feedback, and joint problem-solving are key to delivering high-impact, data-driven outcomes that support organizational objectives. This position requires a proven track record of transforming processes, driving customer value, cost savings with experience in running end-to-end analytics for large-scale organizations. Design, build, and maintain scalable data pipelines to support analytics, reporting, and advanced modeling needs. Collaborate with consultants, analysts, and clients to understand data requirements and translate them into effective data solutions. Ensure data accuracy, quality, and integrity through validation, cleansing, and transformation processes. Develop and optimize data models, ETL workflows, and database architectures across cloud and on-premises environments. Support data-driven decision-making by delivering reliable, well-structured datasets and enabling self-service analytics. Provides seamless integration with cloud platforms (Azure), making it easy to build and deploy end-to-end data pipelines in the cloud Scalable clusters for handling large datasets and complex computations in Databricks, optimizing performance and cost management. Must to have Client Engagement Experience and collaboration with cross-functional teams Data Engineering background in Databricks Capable of working effectively as an individual contributor or in collaborative team environments Effective communication and thought leadership with proven record. Candidate Profile: Bachelors/masters degree in economics, mathematics, computer science/engineering, operations research or related analytics areas 3+ years’ experience must be in Data engineering. Hands on experience on SQL, Python, Databricks, cloud Platform like Azure etc. Prior experience in managing and delivering end to end projects Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe.