Job Description
We are looking for you!
You are a team player, get-it-done person, intellectually curious, customer focused, self-motivated, responsible individual who can work under pressure with a positive attitude. You have the zeal to think differently, understand that career is a journey and make the choices right. You must have experience in creating visually compelling designs that effectively communicate our message and engage our target audience. Ideal candidates would be someone who is creative, proactive, go getter and motivated to look for ways to add value to job accomplishments.
You have excellent verbal and written communication skills with the ability to craft compelling UI creatives, visually compelling designs that effectively communicate our message and engage our target audience. You are self-motivated with a strong work ethic, positive attitude, and demeanor, enthusiastic when embracing new challenges, able to multitask and prioritize (good time management skills), willingness to learn new technology/methodologies, adaptable and flexible when new products are assigned. You prefer to work independently with less or no supervision. You are process oriented, have a methodical approach and demonstrate quality first approach and preferably who have worked in a result-oriented product marketing team(s).
Requirements
What youll do
- Solution Design: Collaborate with clients to understand their business requirements and design comprehensive Informatica MDM solutions tailored to their needs.
- Implementation: Lead the implementation of Informatica MDM solutions, including configuration, customization, and integration with existing systems.
- Data Modeling: Design and implement data models to support MDM initiatives, ensuring data integrity, accuracy, and consistency across systems.
- Data Quality Management: Implement Informatica Data Quality (IDQ) processes and workflows to improve data quality and ensure compliance with organizational standards.
- Integration: Integrate Informatica MDM solutions with other enterprise systems, such as CRM, ERP, and BI platforms, to facilitate seamless data exchange and interoperability.
- Customization: Develop custom components, workflows, and extensions to extend the functionality of Informatica MDM and meet specific business requirements.
- Data Governance: Establish data governance policies, standards, and best practices to govern the use, management, and quality of master data within the organization.
- Documentation: Prepare comprehensive documentation, including solution designs, technical specifications, user guides, and training materials, to support the implementation and maintenance of Informatica MDM solutions.
- Testing and Quality Assurance: Conduct thorough testing and quality assurance activities to ensure the reliability, scalability, and performance of Informatica MDM solutions.
- Training and Support: Provide training and support to end-users, administrators, and stakeholders to ensure successful adoption and utilization of Informatica MDM solutions.
What you’ll bring
- Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree preferred.
- Minimum of 4 years of experience in implementing and configuring Informatica MDM solutions.
- Proficiency in Informatica MDM Hub, Informatica Data Director, Informatica Data Quality (IDQ), and related Informatica tools and technologies.
- Strong understanding of data modelling principles, data integration concepts, and master data management best practices.
- Hands-on experience with data profiling, cleansing, and transformation using Informatica IDQ.
- Experience with data governance frameworks, data stewardship workflows, and data quality metrics.
- Excellent communication skills and the ability to effectively collaborate with cross-functional teams and stakeholders.
- Proven ability to work independently, manage multiple priorities, and deliver high-quality results within tight deadlines.
- Informatica certification(s) in MDM and/or IDQ is a plus.
Benefits
1. Culture:
- Open Door Policy: Encourages open communication and accessibility to management.
- Open Office Floor Plan: Fosters a collaborative and interactive work environment.
- Flexible Working Hours: Allows employees to have flexibility in their work schedules.
- Employee Referral Bonus: Rewards employees for referring qualified candidates.
- Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.
2. Inclusivity and Diversity:
- Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
- Mandatory POSH training: Promotes a safe and respectful work environment.
3. Health Insurance and Wellness Benefits:
- GMC and Term Insurance: Offers medical coverage and financial protection.
- Health Insurance: Provides coverage for medical expenses.
- Disability Insurance: Offers financial support in case of disability.
4. Child Care & Parental Leave Benefits:
- Company-sponsored family events: Creates opportunities for emplo4. Child Care & Parental Leave Benefits:yees and their families to bond.
- Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
- Family Medical Leave: Offers leave for employees to take care of family members' medical needs.
5. Perks and Time-Off Benefits:
- Company-sponsored outings: Organizes recreational activities for employees.
- Gratuity: Provides a monetary benefit as a token of appreciation.
- Provident Fund: Helps employees save for retirement.
- Generous PTO: Offers more than the industry standard for paid time off.
- Paid sick days: Allows employees to take paid time off when they are unwell.
- Paid holidays: Gives employees paid time off for designated holidays.
- Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.
6. Professional Development Benefits:
- L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
- Mentorship Program: Offers guidance and support from experienced professionals.
- Job Training: Provides training to enhance job-related skills.
- Professional Certification Reimbursements: Assists employees in obtaining professional certifications.
- Promote from Within: Encourages internal growth and advancement opportunities.
About company
Who we are
Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Co-founded by Wharton Business School Aluminous, Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data. We leverage cutting-edge technologies and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.
Awards and Recognitions
Kanerika has won several awards over the years, including:
- Best Place to Work 2022 by Great Place to Work
- Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today
- Frost & Sullivan India 2021 Technology Innovation Award for its Compass composable solution architecture
- Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances.
Subodh Popalwar
Software Engineer, Memorres
About Kanerika Software
Kanerika has been delivering results since we opened in 2015. Our goal is to provide both a superior customer experience and tremendous value for our customers. With over 75 years of collective experience in Software Product Development and is passionate about exceeding expectations of our clients. Our passion is developing path-breaking software products. We love challenges. We are a small team that always ensures the job is done right. It is all about : Partnership, Experience and Creativity.
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Company Overview:
Our client is a global leader in AI Assisted Conversational messaging solutions, transforming the way professionals and institutions engage with customers. With cutting-edge technologies like Conversational AI and Chatbots, they have amassed 5000 customers across SMBs and Mid-market sectors, integrating seamlessly with top CRMs like Salesforce, Zoho, and Hubspot.
Position Overview:
As a rapidly growing company, we are seeking a dynamic professional to join our leadership team as a Director, Business Intelligence. In this role, you will oversee the organization's Data and information systems operations, focusing on data, tools, and analytics supporting stakeholders across Product, Sales, Marketing, Operations, and Finance.
Key Responsibilities:
- Develop and implement data architecture and management strategies.
- Establish master data management (MDM) processes for a single source of truth.
- Lead system integration aligning data systems with business goals.
- Collaborate with senior management, defining KPIs and leading data initiatives.
- Identify data trends, patterns, and insights using visualization tools.
- Evaluate, select, and manage vendors for effective service delivery.
- Implement data governance practices, including quality assurance and lifecycle management.
- Build and manage a high-performing systems and information team.
Qualifications:
- Bachelor's degree in computer science, information systems, or related field.
- 10+ years of experience in systems management, preferably in SaaS/D2C industry.
- Proficiency in data analysis methods, tools, and best practices.
- Experience with Salesforce and Power BI is essential.
- Strong problem-solving and decision-making skills.
- Knowledge of industry best practices and emerging trends.
- Demonstrated ability to lead cross-functional teams.
- Excellent communication and interpersonal skills.
Benefits:
- Competitive Salary
- Performance-Based Incentives
- Bonus Compensation
- Comprehensive Insurance Coverage
- Shift Allowance
- Emphasis on Work-Life Balance
Key Responsibilities:
· Solution Design: Collaborate with clients to understand their business requirements and design comprehensive Informatica MDM solutions tailored to their needs.
· Implementation: Lead the implementation of Informatica MDM solutions, including configuration, customization, and integration with existing systems.
· Data Modelling: Design and implement data models to support MDM initiatives, ensuring data integrity, accuracy, and consistency across systems.
· Data Quality Management: Implement Informatica Data Quality (IDQ) processes and workflows to improve data quality and ensure compliance with organizational standards.
· Integration: Integrate Informatica MDM solutions with other enterprise systems, such as CRM, ERP, and BI platforms, to facilitate seamless data exchange and interoperability.
· Customization: Develop custom components, workflows, and extensions to extend the functionality of Informatica MDM and meet specific business requirements.
· Data Governance: Establish data governance policies, standards, and best practices to govern the use, management, and quality of master data within the organization.
· Documentation: Prepare comprehensive documentation, including solution designs, technical specifications, user guides, and training materials, to support the implementation and maintenance of Informatica MDM solutions.
· Testing and Quality Assurance: Conduct thorough testing and quality assurance activities to ensure the reliability, scalability, and performance of Informatica MDM solutions.
· Training and Support: Provide training and support to end-users, administrators, and stakeholders to ensure successful adoption and utilization of Informatica MDM solutions.
What you’ll bring
- Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree preferred.
- Minimum of 4 years of experience in implementing and configuring Informatica MDM solutions.
- Proficiency in Informatica MDM Hub, Informatica Data Director, Informatica Data Quality (IDQ), and related Informatica tools and technologies.
- Strong understanding of data modelling principles, data integration concepts, and master data management best practices.
- Hands-on experience with data profiling, cleansing, and transformation using Informatica IDQ.
- Experience with data governance frameworks, data stewardship workflows, and data quality metrics.
- Excellent communication skills and the ability to effectively collaborate with cross-functional teams and stakeholders.
- Proven ability to work independently, manage multiple priorities, and deliver high-quality results within tight deadlines.
- Informatica certification(s) in MDM and/or IDQ is a plus.
Required skills and experience: · Solid experience working in Big Data ETL environments with Spark and Java/Scala/Python · Strong experience with AWS cloud technologies (EC2, EMR, S3, Kinesis, etc) · Experience building monitoring/alerting frameworks with tools like Newrelic and escalations with slack/email/dashboard integrations, etc · Executive-level communication, prioritization, and team leadership skills
Qualifications & Skills
- Proven track record in delivering Data Governance Solutions to a large enterprise
- Knowledge experience in data governance frameworks, formulating data governance policy, standards and processes
- Experience in program management and managing cross functional stakeholders from senior leadership to project manager level
- Experience in leading a team of data governance business analysts
- Experience in data governance tools like Informatica Data Quality, Enterprise Data Catalog, Axon, Collibra
- Experience in metadata management, master and reference data management, data quality and data governance
Python🚀 Exciting Opportunity: Data Engineer Position in Gurugram 🌐
Hello
We are actively seeking a talented and experienced Data Engineer to join our dynamic team at Reality Motivational Venture in Gurugram (Gurgaon). If you're passionate about data, thrive in a collaborative environment, and possess the skills we're looking for, we want to hear from you!
Position: Data Engineer
Location: Gurugram (Gurgaon)
Experience: 5+ years
Key Skills:
- Python
- Spark, Pyspark
- Data Governance
- Cloud (AWS/Azure/GCP)
Main Responsibilities:
- Define and set up analytics environments for "Big Data" applications in collaboration with domain experts.
- Implement ETL processes for telemetry-based and stationary test data.
- Support in defining data governance, including data lifecycle management.
- Develop large-scale data processing engines and real-time search and analytics based on time series data.
- Ensure technical, methodological, and quality aspects.
- Support CI/CD processes.
- Foster know-how development and transfer, continuous improvement of leading technologies within Data Engineering.
- Collaborate with solution architects on the development of complex on-premise, hybrid, and cloud solution architectures.
Qualification Requirements:
- BSc, MSc, MEng, or PhD in Computer Science, Informatics/Telematics, Mathematics/Statistics, or a comparable engineering degree.
- Proficiency in Python and the PyData stack (Pandas/Numpy).
- Experience in high-level programming languages (C#/C++/Java).
- Familiarity with scalable processing environments like Dask (or Spark).
- Proficient in Linux and scripting languages (Bash Scripts).
- Experience in containerization and orchestration of containerized services (Kubernetes).
- Education in database technologies (SQL/OLAP and Non-SQL).
- Interest in Big Data storage technologies (Elastic, ClickHouse).
- Familiarity with Cloud technologies (Azure, AWS, GCP).
- Fluent English communication skills (speaking and writing).
- Ability to work constructively with a global team.
- Willingness to travel for business trips during development projects.
Preferable:
- Working knowledge of vehicle architectures, communication, and components.
- Experience in additional programming languages (C#/C++/Java, R, Scala, MATLAB).
- Experience in time-series processing.
How to Apply:
Interested candidates, please share your updated CV/resume with me.
Thank you for considering this exciting opportunity.
Primary Duties and Responsibilities
- Experience with Informatica Multidomain MDM 10.4 tool suite preferred
- Partnering with data architects and engineers to ensure an optimal data model design and implementation for each MDM domain in accordance with industry and MDM best practices
- Works with data governance and business steward(s) to design, develop, and configure business rules for data validation, standardize, match, and merge
- Implementation of Data Quality policies, procedures and standards along with Data Governance Team for maintenance of customer, location, product, and other data domains; Experience with Informatica IDQ tool suite preferred.
- Performs data analysis and source-to-target mapping for ingest and egress of data.
- Maintain compliance with change control, SDLC, and development standards.
- Champion the creation and contribution to technical documentation and diagrams.
- Establishes a technical vision and strategy with the team and works with the team to turn it into reality.
- Emphasis on coaching and training to cultivate skill development of team members within the department.
- Responsible for keeping up with industry best practices and trends.
- Monitor, troubleshoot, maintain, and continuously improve the MDM ecosystem.
Secondary Duties and Responsibilities
- May participate in off-hours on-call rotation.
- Attends and is prepared to participate in team, department and company meetings.
- Performs other job related duties and special projects as assigned.
Supervisory Responsibilities
This is a non-management role
Education and Experience
- Bachelor's degree in MIS, Computer Sciences, Business Administration, or related field; or High School Degree/General Education Diploma and 4 years of relevant experience in lieu of Bachelor's degree.
- 5+ years of experience in implementing MDM solutions using Informatica MDM.
- 2+ years of experience in data stewardship, data governance, and data management concepts.
- Professional working knowledge of Customer 360 solution
- Professional working knowledge in multi domain MDM data modeling.
- Strong understanding of company master data sets and their application in complex business processes and support data profiling, extraction, and cleansing activities using Informatica Data Quality (IDQ).
- Strong knowledge in the installation and configuration of the Informatica MDM Hub.
- Familiarity with real-time, near real-time and batch data integration.
- Strong experience and understanding of Informatica toolsets including Informatica MDM Hub, Informatica Data Quality (IDQ), Informatica Customer 360, Informatica EDC, Hierarchy Manager (HM), Business Entity Service Model, Address Doctor, Customizations & Composite Services
- Experience with event-driven architectures (e.g. Kafka, Google Pub/Sub, Azure Event Hub, etc.).
- Professional working knowledge of CI/CD technologies such as Concourse, TeamCity, Octopus, Jenkins, and CircleCI.
- Team player that exhibits high energy, strategic thinking, collaboration, direct communication and results orientation.
Physical Requirements
- Visual requirements include: ability to see detail at near range with or without correction. Must be physically able to perform sedentary work: occasionally lifting or carrying objects of no more than 10 pounds, and occasionally standing or walking, reaching, handling, grasping, feeling, talking, hearing and repetitive motions.
Working Conditions
- The duties of this position are performed through a combination of an open office setting and remote work options. Full remote work options available for employees that reside outside of the Des Moines Metro Area. There is frequent pressure to meet deadlines and handle multiple projects in a day.
Equipment Used to Perform Job
- Windows, or Mac computer and various software solutions.
Financial Responsibility
- Responsible for company assets including maintenance of software solutions.
Contacts
- Has frequent contact with office personnel in other departments related to the position, as well as occasional contact with users and customers. Engages stakeholders from other area in the business.
Confidentiality
- Has access to confidential information including trade secrets, intellectual property, various financials, and customer data.
- Key responsibility is to design and develop a data pipeline including the architecture, prototyping, and development of data extraction, transformation/processing, cleansing/standardizing, and loading in Data Warehouse at real-time/near the real-time frequency. Source data can be structured, semi-structured, and/or unstructured format.
- Provide technical expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
- Development of complex data transformation using Talend (BigData edition), Python/Java transformation in Talend, SQL/Python/Java UDXs, AWS S3, etc to load in OLAP Data Warehouse in Structured/Semi-structured form
- Development of data model and creating transformation logic to populate models for faster data consumption with simple SQL.
- Implementing automated Audit & Quality assurance checks in Data Pipeline
- Document & maintain data lineage to enable data governance
- Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
Requirements
- Programming experience using Python / Java, to create functions / UDX
- Extensive technical experience with SQL on RDBMS (Oracle/MySQL/Postgresql etc) including code optimization techniques
- Strong ETL/ELT skillset using Talend BigData Edition. Experience in Talend CDC & MDM functionality will be an advantage.
- Experience & expertise in implementing complex data pipelines, including semi-structured & unstructured data processing
- Expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
- Good understanding & working experience in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) and cloud-native Data Lake (S3, ADLS, BigQuery, etc) solutions
- Familiarity with AWS tool stack for Storage & Processing. Able to recommend the right tools/solutions available to address a technical problem
- Good knowledge of database performance and tuning, troubleshooting, query optimization, and tuning
- Good analytical skills with the ability to synthesize data to design and deliver meaningful information
- Good knowledge of Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model
- Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
- Ability to understand business functionality, processes, and flows
- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently
Functional knowledge
- Data Governance & Quality Assurance
- Distributed computing
- Linux
- Data structures and algorithm
- Unstructured Data Processing
- Key responsibility is to design & develop a data pipeline for real-time data integration, processing, executing of the model (if required), and exposing output via MQ / API / No-SQL DB for consumption
- Provide technical expertise to design efficient data ingestion solutions to store & process unstructured data, such as Documents, audio, images, weblogs, etc
- Developing API services to provide data as a service
- Prototyping Solutions for complex data processing problems using AWS cloud-native solutions
- Implementing automated Audit & Quality assurance Checks in Data Pipeline
- Document & maintain data lineage from various sources to enable data governance
- Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
Skills
- Programming experience using Python & SQL
- Extensive working experience in Data Engineering projects, using AWS Kinesys, AWS S3, DynamoDB, EMR, Lambda, Athena, etc for event processing
- Experience & expertise in implementing complex data pipeline
- Strong Familiarity with AWS Toolset for Storage & Processing. Able to recommend the right tools/solutions available to address specific data processing problems
- Hands-on experience in Unstructured (Audio, Image, Documents, Weblogs, etc) Data processing.
- Good analytical skills with the ability to synthesize data to design and deliver meaningful information
- Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
- Ability to understand business functionality, processes, and flows
- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently
Functional knowledge
- Real-time Event Processing
- Data Governance & Quality assurance
- Containerized deployment
- Linux
- Unstructured Data Processing
- AWS Toolsets for Storage & Processing
- Data Security
- Participate in planning, implementation of solutions, and transformation programs from legacy system to a cloud-based system
- Work with the team on Analysis, High level and low-level design for solutions using ETL or ELT based solutions and DB services in RDS
- Work closely with the architect and engineers to design systems that effectively reflect business needs, security requirements, and service level requirements
- Own deliverables related to design and implementation
- Own Sprint tasks and drive the team towards the goal while understanding the change and release process defined by the organization.
- Excellent communication skills, particularly those relating to complex findings and presenting them to ensure audience appeal at various levels of the organization
- Ability to integrate research and best practices into problem avoidance and continuous improvement
- Must be able to perform as an effective member in a team-oriented environment, maintain a positive attitude, and achieve desired results while working with minimal supervision
Basic Qualifications:
- Minimum of 5+ years of technical work experience in the implementation of complex, large scale, enterprise-wide projects including analysis, design, core development, and delivery
- Minimum of 3+ years of experience with expertise in Informatica ETL, Informatica Power Center, and Informatica Data Quality
- Experience with Informatica MDM tool is good to have
- Should be able to understand the scope of the work and ask for clarifications
- Should have advanced SQL skills. Including complex PL/SQL coding skills
- Knowledge of Agile is plus
- Well-versed with SOAP, Webservice, and REST API.
- Hand on development using Java would be a plus.
PythonRoles & Responsibilities
- Designing and delivering a best-in-class, highly scalable data governance platform
- Improving processes and applying best practices
- Contribute in all scrum ceremonies; assuming the role of ‘scum master’ on a rotational basis
- Development, management and operation of our infrastructure to ensure it is easy to deploy, scalable, secure and fault-tolerant
- Flexible on working hours as per business needs
Follow CutshortSubodh Popalwar
Software Engineer, Memorres