11+ IBM InfoSphere DataStage Jobs in Kolkata | IBM InfoSphere DataStage Job openings in Kolkata

Senior ETL developer in SAS

We are seeking a skilled and experienced ETL Developer with strong SAS expertise to join

our growing Data Management team in Kolkata. The ideal candidate will be responsible for

designing, developing, implementing, and maintaining ETL processes to extract, transform,

and load data from various source systems into Banking data warehouse and other data

repositories of BFSI. This role requires a strong understanding of Banking data warehousing

concepts, ETL methodologies, and proficiency in SAS programming for data manipulation

and analysis.

Responsibilities:

• Design, develop, and implement ETL solutions using industry best practices and

tools, with a strong focus on SAS.

• Develop and maintain SAS programs for data extraction, transformation, and loading.

• Work with source system owners and data analysts to understand data requirements

and translate them into ETL specifications.

• Build and maintain data pipelines for Banking database to ensure data quality,

integrity, and consistency.

• Perform data profiling, data cleansing, and data validation to ensure accuracy and

reliability of data.

• Troubleshoot and resolve Bank’s ETL-related issues, including data quality problems

and performance bottlenecks.

• Optimize ETL processes for performance and scalability.

• Document ETL processes, data flows, and technical specifications.

• Collaborate with other team members, including data architects, data analysts, and

business users.

• Stay up-to-date with the latest SAS related ETL technologies and best practices,

particularly within the banking and financial services domain.

• Ensure compliance with data governance policies and security standards.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• Proven experience as an ETL Developer, preferably within the banking or financial

services industry.

• Strong proficiency in SAS programming for data manipulation and ETL processes.

• Experience with other ETL tools (e.g., Informatica PowerCenter, DataStage, Talend)

is a plus.

• Solid understanding of data warehousing concepts, including dimensional modeling

(star schema, snowflake schema).

• Experience working with relational databases (e.g., Oracle, SQL Server) and SQL.

• Familiarity with data quality principles and practices.

• Excellent analytical and problem-solving skills.

• Strong communication and interpersonal skills.

• Ability to work independently and as part of a team.

• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

• Understanding of regulatory requirements in the banking sector (e.g., RBI guidelines)

is an advantage.

Preferred Skills:

• Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Azure

Synapse, Google BigQuery).

• Knowledge of big data technologies (e.g., Hadoop, Spark).

• Experience with agile development methodologies.

• Relevant certifications (e.g., SAS Certified Professional).

What We Offer:

• Competitive salary and benefits package.

• Opportunity to work with cutting-edge technologies in a dynamic environment.

• Exposure to the banking and financial services domain.

• Professional development and growth opportunities.

• A collaborative and supportive work culture.

● Engage with potential customers through real-time chat conversations.

● Understand customer requirements and provide accurate information about our VoIP products and services.

● Assist in converting leads into sales through effective communication.

● Maintain a friendly, professional, and persuasive tone in all chat interactions.

● Keep records of interactions and follow-ups using CRM tools.

● Work closely with the team for service activation, pricing, and clarifications.

● Learn continuously about VoIP products, telecom basics, and sales techniques.

RPA Power Automate Developer

Overview

 Seeking an experienced RPA Developer specializing in Microsoft Power Automate to design, build, and optimize automation workflows that improve operational efficiency across business processes.

Key Responsibilities

Develop, test, and deploy automation solutions using Power Automate (Cloud & Desktop).

 Analyze business processes, identify automation opportunities, and create scalable workflows.

 Integrate Power Automate with SharePoint, Power Apps, Dataverse, Outlook, Teams, and external systems via connectors/APIs.

 Maintain, monitor, and troubleshoot existing automations to ensure high reliability.

 Collaborate with business stakeholders to gather requirements and document technical solutions.

 Ensure governance, security, and compliance standards in automation development.

Required Skills & Experience

5–9 years of experience in RPA with strong expertise in Power Automate.

 Hands-on experience with Power Automate Desktop, RPA flows, cloud flows, and custom connectors.

 Solid understanding of REST APIs, JSON, OData, and workflow logic.

 Experience with Power Platform components (Power Apps, Power BI, Dataverse) is a plus.

 Strong analytical, problem‑solving, and documentation skills.

Preferred Qualifications

 Microsoft Power Platform certification (e.g., PL‑500, PL‑400).

 Experience with SQL, SharePoint, Azure services, or related automation tools.

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

JD:

 Location Pan India

Experience: 8 to 15Yrs

Must have skills                                                                                                                 

• "Senior" is defined as 8+ years of IT experience, and a minimum of 5+ years in Digital experience
• Minimum 3 years of hands-on experience with Informatica Cloud Data Quality (CDQ) toolset, 
• Strong SQL Skills.

Nice have skills

• Knowledge of Informatica AXON Data Governance
• Familiarity of Enterprise Data Catalog 
• Familiarity Cloud Data Governance and Catalog (CDGC).

We are seeking a dynamic and experienced Senior Pre-Sales Business Analyst to join our team. The incumbent will play a pivotal role in engaging with potential clients and channel partners, providing strategic insights, and crafting tailored solutions to address client needs. This role demands a blend of technical expertise, business acumen, and exceptional communication skills to effectively articulate our value proposition and drive revenue growth.

Responsibilities

· Engage with clients to understand their business objectives, challenges, and requirements related to computer vision applications.

· Conduct detailed analysis and document business requirements, ensuring clarity, completeness, and feasibility.

· Collaborate with the solutioning and development teams to propose innovative and technically viable solutions that meet clients' requirements.

· Act as a liaison between clients and internal teams, effectively communicating and translating business requirements to technical teams.

· Utilize the low-code platform and AI models to design innovative solutions that address client needs.

· Analyze client data and business processes to identify opportunities for optimization and efficiency gains.

· Develop comprehensive proposals and presentations outlining customized solutions tailored to each client's requirements.

· Collaborate with the sales team to develop compelling proposals, presentations, and demonstrations to showcase the value and capabilities of our computer vision products.

· Participate in pre-sales activities, including client meetings, presentations, and workshops, to support business development efforts.

· Conduct market research to identify potential clients, industry trends, and competitive landscape.

· Analyze market data and client feedback to refine product offerings and develop new solutions.

· Stay updated with industry trends, emerging technologies, and competitive landscape related to computer vision and provide insights and recommendations for product enhancements.

· Contribute to the continuous improvement of business analysis processes, tools, and methodologies within the organization. 

Qualifications

· Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field.

· 3-4 years of experience as a Business Analyst, preferably with pre-sales experience in the computer vision industry.

· Excellent communication and interpersonal skills to effectively interact with clients, understand their needs, and convey technical information to non-technical stakeholders.

· Proven experience in documenting business requirements, functional specifications, and use cases.

· Ability to collaborate and work effectively with cross-functional teams, including solution architects, developers, and sales professionals.

· Strong analytical and problem-solving skills, with the ability to think critically and propose innovative solutions.

· Proficiency in project management methodologies and tools to ensure timely and successful project delivery.

· Flexibility and adaptability to handle multiple projects simultaneously and work in a fast-paced environment.

· Willingness to travel as required to client locations for meetings, workshops, and presentations. 

Oversee the sales process to attract new clients.

Work with senior team members to identify and manage risks.

Maintain fruitful relationships with clients and address their needs effectively.

Prepare and deliver pitches to potential investors.

Foster a collaborative environment within the organization.

Transfer call to the supervisor after initial explanation.

SKILLS:

Excellent spoken English.

Both Graduate/Undergraduate may apply.

Ability to develop good relationships with current and potential clients.

Excellent communication skills.

Knowledge of productivity tools and software.

Ready to work in Nightshift.

7+ YOE in IT / Software Development and Services Industry

B.Tech/BE, Bachelor in Tech domain from Tier 1 College / Univesity

MBA or Masters from Top B schools or Tier 1 College / Univesity

Preferred with work experience in software frameworks, technologies, and programming languages.

• Develop and implement operational strategies: Develop and implement operational strategies to ensure the smooth functioning of the organization. This includes developing policies and procedures, managing resources, and monitoring performance metrics.

• Lead project teams: ensure the successful completion of projects within the allotted time and budget. This involves planning, organizing, and controlling project activities, as well as communicating with stakeholders to ensure project objectives are met.

• Manage resources: managing the resources required for both day-to-day operations and project delivery. This includes budgeting, resource allocation, and procurement of materials and services.

• Analyze data to identify areas for improvement and to make informed decisions regarding operational and project-related issues. This involves using data analysis tools and techniques to collect, organize, and interpret data.

• Ensure compliance ensures that the organization is compliant with legal and regulatory requirements. This includes implementing policies and procedures to ensure compliance with applicable laws and regulations.

• Build relationships and maintain relationships with stakeholders and employees. This involves effective communication, negotiation, and conflict-resolution skills.

• Develop and mentor team members developing and mentoring team members to enhance their skills and knowledge. This includes providing training, coaching, and feedback to team members to ensure they are equipped to perform their roles effectively.

• Work with departmental heads, managers, and other stakeholders to develop team goals and delegate tasks to the appropriate team member.

• Create and communicate a clear list of expectations and goals for team members to follow.

• Offer emotional support to project team members and make people feel valued.

• Maintain frequent communication to offer encouragement, amend tasks, and provide updates on goal progress.

• Implement incentives to keep the team motivated and focused on their daily tasks and project goals.

• Provide frequent feedback on employee performance, address weaknesses or inefficiencies, and offer support to improve skill gaps.

• Nurture collaboration amongst team members, Create a workspace that encourages creativity and innovation to get the most out of the team, and Quickly and effectively resolve team conflicts.

Basic Qualifications:

Education: A bachelor's degree/ master's degree or higher. administration, management, engineering, or operations management is often required.

B.Tech/BE, Bachelor in Tech domain from Tier 1 or 2 College / Univesity

MBA or Masters from Top B schools or Tier 1 College / Univesity

Experience: 7-10 years of relevant work experience in operations management, project management, or a related field is required.

Preferred with work experience in software frameworks, technologies, and programming languages.

Basic Skills:

• Team Management

• Communication

• Listening

• Conflict Resolution

• Team Leadership

• Organizational skills

• Critical Thinking

• Time Management

Job location:

Kolkata (Work from Office)

WordPress Developer Responsibilities:

• Designing and building the website front-end.
• Designing and managing the website back-end including database and server integration.
• Generating Word Press themes and plugins.
• Conducting website performance tests.

 Required key skills:- 

• Must have knowledge on custom word press, also page builder and elementor.
• Strong understanding of PHP back-end development.
• Good understanding of front-end technologies, including HTML5, CSS3, JavaScript, jQuery.
  
  
  

  5 Days working. SATURDAY & SUNDAY Fixed OFF