2509 Data Quality Jobs - Page 27

Hiring for Informatica Power Center Cloud Design and implement data solutions to integrate data from cloud platforms and on-premises applicationsImplement data quality checks and standards in code Perform data management activities, including data stewardship and data quality managementPerform technical risk analysis and reliability assessments Develop quantitative models and perform advanced analyses Document mappings, mapplets, and rules, and provide technical assistanceUse performance tuning techniques to improve the performance of sources, targets, and mappings Informatica Powercentre

Description What makes us Qlik ? A Gartner Magic Quadrant Leader for 15 years in a row , Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. The Principal Solution Architect Role Are you ready to take the lead in shaping the future of data and analytics? As a Principal Solution Architect, you ll be the go-to technical expert, guiding some of the largest customers and partners in the India region. You ll be at the forefront of demonstrating how cutting-edge data integration and analytics solutions can drive real business transformation. Collaborating closely with a dynamic Presales team in a flexible, agile environment, you ll have the opportunity to showcase your expertise while working with Sales, Marketing, R&D, Product, Consulting, and Customer Success teams. If youre looking for a role that is engaging, fast-paced, and full of opportunities to make an impact, this is it. What makes this role interesting? Engage with high-profile customers and partners : Lead technical discussions and showcase innovative solutions to help organizations unlock the true power of their data. Drive business success with cutting-edge technology : Leverage Qlik s next-generation data analytics and data integration platform to solve complex business challenges. Be at the forefront of industry trends : Stay ahead of the game by keeping up with the latest advancements in data analytics, as well as the competitive landscape. Collaborate with cross-functional teams : Work closely with internal teams and experts across Sales, Marketing, R&D, and Customer Success to build compelling solutions that resonate with customers. Flexibility and agility : Thrive in an environment that values adaptability, innovation, and dynamic thinking. Here s how you ll be making an impact: Own the technical sales cycle : Become a trusted advisor by guiding customers through technical evaluations, ensuring a seamless journey from exploration to adoption. Showcase innovation through tailored solutions : Deliver compelling presentations and custom demonstrations that address real customer needs and business challenges. Prove value through successful Proof-of-Concepts : Help customers experience the true power of Qlik s platform by leading impactful proof-of-concept engagements. Support business development efforts : Play a key role in driving regional revenue growth by supporting strategic sales initiatives and expanding Qlik s presence in the market. Position solutions for long-term success : Communicate effectively with stakeholders at all levels, from technical teams to senior leadership, ensuring alignment on the value and impact of Qlik s solutions. We re looking for a teammate with: At least 8 years of experience in a presales and/or consulting capacity Strong experience in BI & analytics tools like Qlik Sense etc. Good understanding of SQL & data modeling . Good understanding of Machine Learning tools and its usage such as Python/ R, and other AI/ML and Gen AI technologies Familiarity with cloud platforms and services Good to have Knowledge of Data Integration (ETL), Data Quality (DQ), Data Governance, iPaaS (APIs, micro services, Application Integration) will be plus Excellent communication skills to the business as well as technical audience Highly driven with strong interpersonal skills Track record of developing relationships at technical, commercial, and executive levels throughout large enterprises Ability to work independently and manage multiple complex opportunities. Travel Requirements: Willingness and ability to travel approximately 25 % Ability to travel internationally, if required

This job will drive the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description Essential Responsibilities Define and drive the strategic vision for machine learning initiatives at the organizational level. Lead the development and optimization of state-of-the-art machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Publish research findings and contribute to industry discussions. Represent the company at conferences and external engagements. Influence the direction of the companys AI/ML strategy and contribute to long-term planning. Minimum Qualifications Minimum of 18 years of relevant work experience and a Bachelors degree or equivalent experience. Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Recognized as an industry expert with a strong publication record.

What you need to know about the role This job will drive the strategic vision and development of cutting-edge BNPL credit models and collection models across all products . The incumbent will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. The role involves building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description Your way to impact - Manage multiple priorities through solid project management practices. Maintain strong presence in our India sites and help keep PayPal a great place to work. Your day to day - Define and drive the strategic vision for machine learning initiatives across multiple teams or projects. Lead the development and optimization of state-of-the-art machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Publish research findings and contribute to industry discussions. Lead the development of new methodologies and frameworks for ML applications. What do you need to bring- Minimum of 15 years of relevant work experience and a Bachelors degree or equivalent experience. Minimum of 3 years management experience Deep experience in AI/ML model development, with a proven track record in financial services Experience in setting up & nurturing large AI / ML teams Advanced degree in Computer Science, Engineering, Statistics, or a related field. Exceptional communication skills, with the ability to articulate complex technical concepts to nontechnical stakeholders and executives. Strong connections with the AI/ML ecosystem in India is a plus.

Description & Requirements We are seeking a Contact Data Process Principal within Sales Operations team, responsible for designing and maintaining workflows that optimize contact data acquisition and enrichment. This role involves defining enrichment workflows, prioritizing data sets based on regional needs, industry focus, and business motions, and managing vendor relationships to enhance data quality and coverage. They will be primarily responsible for designing, operationalizing, and optimizing the contact enrichment process. Key Responsibilities: Create and document acquisition and enrichment framework to ensure structured and efficient contact data processes. Review effectiveness of enrichment efforts to assess impact and refine strategies. Prioritize areas of focus for targeted enrichment and acquisition based on business needs. Operationalize acquisition efforts to streamline data collection and integration. Manage data vendor enrichment priorities by region to ensure optimal data coverage. Coordinate intake with contractor team efforts. Report and resolve workflow blockers. Report enrichment progress and success metrics. Requirements: 4+ years of experience in Sales/Marketing Operations, or Data Governance, or a related field. Proven experience in data process management, preferably in a sales operations environment. Strong analytical skills with expertise in data enrichment and workflow optimization. Familiarity with Salesforce (SFDC) and data vendors like ZoomInfo or other contact enrichment platforms. Ability to evaluate and manage vendor relationships and negotiate SLAs. Excellent problem-solving skills and ability to resolve workflow blockers efficiently. Strong project management skills. Strong communication skills to present insights and progress reports to stakeholders. Benefits: Competitive salary and performance incentives. Opportunity to take part in a high-impact contact data project. Career growth opportunities within a dynamic and diverse team. Flexible work environment with cutting-edge tools and resources.

Location- Hyderabad Job model - Hybrid Purpose of the job We are looking for a highly analytical and detail-oriented Data Scientist to join our Data Quality Management team. This role will focus on ensuring the accuracy, completeness, and reliability of data ingested from SAP systems and logistics carriers. You will play a critical role in enhancing the integrity of our transportation visibility platform by identifying data issues, implementing quality controls, and collaborating with cross-functional teams to resolve data discrepancies. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Cusotmers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authencity is celebrated. Key Responsibilities Design and implement data quality frameworks and monitoring systems for SAP and carrier data pipelines. Analyze large datasets to detect anomalies, inconsistencies, and gaps in data quality. Experience working on TransVoyant. Develop automated data validation and cleansing routines using Python, SQL, and other tools . Create dashboards and reports to communicate data quality metrics and trends. Collaborate with functional experts, business analysts, and domain experts to understand data flows and business rules. Work closely with Logistics operations, business units, SAP data entry functions, and carrier integration partners to resolve data issues at the source.Contribute to the development of data governance policies and best practices. We bring The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose A flexible work environment that empowers people to take accountability for their work and own the outcome An eagerness to be one team and learn from each other to bring progress to life and create a better future Barrier-free communities within our organization where every employee is equally valued and respected - regardless of their background, beliefs, or identity A culture that prioritizes safety and well-being, both physically and mentally A space to grow by encouraging and supporting curiosity and an open mindset You bring Bachelor s or master s degree in data science, Computer Science, Information Systems, or a related field.5+ years of experience in data science, data engineering, or data quality roles. Strong experience working with SAP data structures (e.g., SD, MM, WM modules) and carrier logistics data (e.g., EDI, shipment tracking). Proficiency in SQL, Python, and data visualization tools (e.g., Power BI, Tableau).Experience with real-time data processing and streaming technologies.Knowledge and experience with SQL and cloud database systems such as AWS or CGP Comfortable using Microsoft Excel to analyze and summarize data, including graphs, charts, formulas, functions, solvers, and regression analysis. Able to identify trends, patterns, and outliers in logistics data and form insights and recommendations.Ability to work in a fast-paced environment while managing multiple projects/priorities simultaneously Excellent attention to detail, problem-solving, organizational and prioritization skills.Strong communication skills to collaborate effectively with cross-functional teams and present findings to both technical and non-technical audiences.Knowledge of supply chain, transportation and logistics operations is a plus

As a Senior Engineer, you ll play a key role in uplifting overall engineering capabilities in the banking solutions with m icroservices area, as well as align with future architecture direction. B eing handson and willing to get stuck into the team with any tasks, including development, testing, business analysis. Continuously simplifying and automating build, test and deployment practices. Creating a learning culture as well as sharing your knowledge with the team. G iving our people great opportunities to try new things, learn and grow. Strong technical leadership and extensive experience in leading software development with Microservices/API as a senior engineer . Mandatory skill sets Must have knowledge, skills and experiences Extensive experience in leading Java development at an enterprise level. Extensive experience working on solution design and API design. Experience in Java development at an enterprise level (Spring Boot, Java 8+, Spring) Extensive experience leading API development , deployment ( Kong/ Apigee) and integration (REST/JSON, Kafka, message queues) Experience working with Continuous Delivery/Continuous Integration pipelines. Experience working with container platforms (Docker, OpenShift, Kubernetes). Extensive DevOps knowledge including Configuring continuous integration, deployment, and delivery tools like Jenkins, or GitLab CI Containerbased development using tools like Docker, Kubernetes, and OpenShift Instrumenting monitoring and logging of applications Great communicator Work alongside a team where you clearly communicate, talk openly and constructively about technical issues . Preferred skill sets Good to have knowledge, skills and experiences In depth technical knowledge of database systems ( Postgres, Oracle, SQL Server). Years of experience required Experience and Qualifications 8+ Years of Experience in Java with 3+ years hands on experience in Microservices. Education qualification BE, B.Tech , ME, M,Tech , MBA, MCA (60% above) Education Degrees/Field of Study required Master of Engineering, Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Java Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} No

Eastern Time) Employment Type: Full-time Long-term Contract (Annual Renewal) Summary We are seeking a highly skilled and motivated Lead GCP Data Engineer to join our team This role is critical to the development and operation of cloud-native, AI-driven enterprise data products that power global media planning and analytics As a Senior Data Engineer, you will architect, build, and maintain scalable, secure, and optimized data solutions on Google Cloud Platform (GCP) Your focus will be on developing robust ELT pipelines, streaming workloads, API-based ingestion frameworks, and orchestration using tools such as Apache Spark, Airflow (Cloud Composer), and BigQuery You ll operate in a fast-paced environment, supporting data-driven innovation across cross-functional teams and ensuring reliability, compliance, and cost efficiency in all workflows Key Responsibilities Data Engineering & Development Design, build, and optimize scalable ELT/ETL pipelines to process structured and unstructured data across batch and streaming systems Architect and deploy cloud-native data workflows using GCP services including BigQuery, Cloud Storage, Cloud Functions, Cloud Pub/Sub, Dataflow, and Cloud Composer Build high-throughput Apache Spark workloads in Python and SQL, with performance tuning for scale and cost Develop parameterized DAGs in Apache Airflow with retry logic, alerting, SLA/SLO enforcement, and robust monitoring Build reusable frameworks for high-volume API ingestion, transforming Postman collections into production-ready Python modules Translate business and product requirements into scalable, efficient data systems that are reliable and secure Cloud Infrastructure & Security Implement IAM and VPC-based security to manage and deploy GCP infrastructure for secure data operations Ensure robustness, scalability, and cost-efficiency of all infrastructure, following FinOps best practices Apply automation through CI/CD pipelines using tools like Git, Jenkins, or Bitbucket Data Quality, Governance & Optimization Design and implement data quality frameworks, monitoring, validation, and anomaly detection Build observability dashboards to ensure pipeline health and proactively address issues Ensure compliance with data governance policies, privacy regulations, and security standards Collaboration & Project Delivery Work closely with cross-functional stakeholders including data scientists, analysts, DevOps, product managers, and business teams Effectively communicate technical solutions to non-technical stakeholders Manage multiple concurrent projects, shifting priorities quickly and delivering under tight timelines Collaborate within a globally distributed team with real-time engagement through 2 p m U S Eastern Time Qualifications & Certifications Education Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, or a related field Experience Minimum 7+ years in data engineering with 5+ years of hands-on experience on GCP Proven track record with tools and services like BigQuery, Cloud Composer (Apache Airflow), Cloud Functions, Pub/Sub, Cloud Storage, Dataflow, and IAM/VPC Demonstrated expertise in Apache Spark (batch and streaming), PySpark, and building scalable API integrations Advanced Airflow skills including custom operators, dynamic DAGs, and workflow performance tuning Certifications Google Cloud Professional Data Engineer certification preferred Key Skills Mandatory Technical Skills Advanced Python (PySpark, Pandas, pytest) for automation and data pipelines Strong SQL with experience in window functions, CTEs, partitioning, and optimization Proficiency in GCP services including BigQuery, Dataflow, Cloud Composer, Cloud Functions, and Cloud Storage Hands-on with Apache Airflow, including dynamic DAGs, retries, and SLA enforcement Expertise in API data ingestion, Postman collections, and REST/GraphQL integration workflows Familiarity with CI/CD workflows using Git, Jenkins, or Bitbucket Experience with infrastructure security and governance using IAM and VPC Nice-to-Have Skills Experience with Terraform or Kubernetes (GKE) Familiarity with data visualization tools such as Looker or Tableau Exposure to MarTech/AdTech data sources and campaign analytics Knowledge of machine learning workflows and their integration with data pipelines Experience with other cloud platforms like AWS or Azure Soft Skills Strong problem-solving and critical-thinking abilities Excellent verbal and written communication skills to engage technical and non-technical stakeholders Proactive and adaptable, with a continuous learning mindset Ability to work independently as well as within a collaborative, distributed team Working Hours Must be available for real-time collaboration with U S stakeholders every business day through 2 p m U S Eastern Time (minimum 4-hour overlap)

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations s Databricks Engineers Requirements Total Experience 58 years with 4+ years of relevant experience Skills Proficiency on Databricks platform Strong handson experience with Pyspark , SQL, and Python Any cloud Azure, AWS, GCP Certifications (Any of the following) Databricks Certified Associate Developer for Spark 3.0 Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Location Bangalore Mandatory Skill Sets Databricks, Pyspark, SQL,Python, Any cloud Azure, AWS, GCP Preferred Skill Sets Related CeCeritfication Databricks Certified Associate Developer for Spark 3.0 Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Year of Experience required 5 to 8 years Education Qualification BE, B.Tech, ME, M,Tech, MBA, MCA Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Master of Engineering Degrees/Field of Study preferred Required Skills Databricks Platform Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} No

Our client is one of the global banking firms which provides industry-focused services for clients across geographies. We are seeking a motivated finance professional to join its Global Middle Office (GMO) as part of the Data Management team. This role is responsible for managing trade data integrity, ensuring data quality across systems, and supporting regulatory and control initiatives. Some of the key responsibilities will include: Maintain and ensure the integrity and completeness of trade data within Trade Services. Define and implement control frameworks for data quality and exception management. Review data exclusions, challenge anomalies, and minimize operational and regulatory risks. Manage data lineage and collaborate across functions to resolve breaks and control gaps. Supporting regulatory compliance through accurate data reporting and root cause remediation. Deliver periodic reports on data quality KPIs and drive improvements. To be eligible for this role you will require: Required Skills: Strong understanding of trade lifecycle and front-office trading systems. Experience with data quality controls, exception management, and lineage documentation. Basic SQL and data manipulation skills, experience with data analysis tools preferred. Exposure to reference data controls and regulatory environments. Preferred Qualifications: 5-7 years of relevant experience in Data Management and Trade Life Cycle. Familiarity with data science concepts and tools. Experience in middle-office or trade control functions within investment banking.

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 Databricks Unified Data Analytics Platform.- Experience with data integration and ETL tools.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 Databricks Unified Data Analytics Platform.- Experience with data integration and ETL tools.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 and optimizing existing data workflows to enhance performance and reliability. 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 ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 and optimizing existing data workflows to enhance performance and reliability. 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 ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

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 : PySpark Good to have skills : NAMinimum 7.5 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 PySpark.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 7.5 years of experience in PySpark.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

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 : PySpark Good to have skills : NAMinimum 7.5 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 PySpark.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 7.5 years of experience in PySpark.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 Databricks Unified Data Analytics Platform.- Experience with data pipeline orchestration tools such as Apache Airflow or similar.- Strong understanding of ETL processes and data warehousing concepts.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 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 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 Databricks Unified Data Analytics Platform.- Experience with data pipeline orchestration tools such as Apache Airflow or similar.- Strong understanding of ETL processes and data warehousing concepts.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 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 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 : PySpark Good to have skills : NAMinimum 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 PySpark.- Strong understanding of data modeling and database design principles.- Experience with data warehousing solutions and ETL tools.- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of data governance and data quality frameworks. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- 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 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 : PySpark Good to have skills : NAMinimum 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 PySpark.- Strong understanding of data modeling and database design principles.- Experience with data warehousing solutions and ETL tools.- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of data governance and data quality frameworks. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- 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 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 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 contribute to the overall data strategy of the organization, ensuring that data is accessible, reliable, and actionable for stakeholders. 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.- Assist in the design and implementation of data architecture and data models.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and ETL processes.- Experience with data quality frameworks and data governance practices.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

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 : PySpark Good to have skills : NAMinimum 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 PySpark.- Good To Have Skills: Experience with Apache Kafka.- Strong understanding of data warehousing concepts and architecture.- Familiarity with cloud platforms such as AWS or Azure.- Experience in SQL and NoSQL databases for data storage and retrieval. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

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 : PySpark Good to have skills : NAMinimum 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 PySpark.- Good To Have Skills: Experience with Apache Kafka.- Strong understanding of data warehousing concepts and architecture.- Familiarity with cloud platforms such as AWS or Azure.- Experience in SQL and NoSQL databases for data storage and retrieval. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 Databricks Unified Data Analytics Platform.- Experience with data pipeline development and management.- Strong understanding of ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud data storage solutions and architectures. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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 Databricks Unified Data Analytics Platform.- Experience with data pipeline development and management.- Strong understanding of ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud data storage solutions and architectures. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education