Offerte Lavoro Stage 2026 | Euspert

IBM Data Stage engineers

Wed, 27 May 2026 00:00:00 GMT

Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt Ltd Job Description: Role: IBM Data Stage Engineer Experience: 7-12Yrs Location : Bangalore / Hyd / Mumbai /Kolkata / Chennai Work Mode: Hybrid / Shift : (Flexibility Required) / 11:00 AM Shift Notice Period : Immediate to 20 Days preferred Fastest way to get connected LinkedIn Job Description: Strong hands-on experience with IBM DataStage (Server jobs mandatory, Parallel jobs preferred) Ability to analyze and reverse-engineer DataStage jobs (stage count, logic, dependencies) Expertise in job sequences, job control logic, and reusable routines Proficiency in ETL development (transformations, joins, lookups, performance tuning) Strong SQL skills (Teradata, Oracle, MS SQL Server) Experience in lineage discovery, dependency mapping, and job complexity classification Ability to document ETL workflows, transformations, and job logic Experience in data validation, reconciliation, and like-for-like reconciliation against the legacy systems testing Hands-on experience with Unix/Shell scripting and file-based processing Ability to rewrite/customize routines and scripts for migration/modernization Experience collaborating with Databricks / Spark teams during migration and validation Understanding of data quality, logging, and error handling best practices Exposure to migration/modernization projects (DataStage to cloud/Spark) Basic knowledge of Spark/PySpark or modern data platforms Familiarity with automation/GenAI tools for code conversion or metadata generation Strong Analytical, Problem-Solving & Communication Skills

IBM Data Stage engineers

Wed, 27 May 2026 00:00:00 GMT

Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt Ltd Job Description: Role: IBM Data Stage Engineer Experience: 7-12Yrs Location : Bangalore / Hyd / Mumbai /Kolkata / Chennai Work Mode: Hybrid / Shift : (Flexibility Required) / 11:00 AM Shift Notice Period : Immediate to 20 Days preferred Fastest way to get connected Job Description: Strong hands-on experience with IBM DataStage (Server jobs mandatory, Parallel jobs preferred) Ability to analyze and reverse-engineer DataStage jobs (stage count, logic, dependencies) Expertise in job sequences, job control logic, and reusable routines Proficiency in ETL development (transformations, joins, lookups, performance tuning) Strong SQL skills (Teradata, Oracle, MS SQL Server) Experience in lineage discovery, dependency mapping, and job complexity classification Ability to document ETL workflows, transformations, and job logic Experience in data validation, reconciliation, and like-for-like reconciliation against the legacy systems testing Hands-on experience with Unix/Shell scripting and file-based processing Ability to rewrite/customize routines and scripts for migration/modernization Experience collaborating with Databricks / Spark teams during migration and validation Understanding of data quality, logging, and error handling best practices Exposure to migration/modernization projects (DataStage to cloud/Spark) Basic knowledge of Spark/PySpark or modern data platforms Familiarity with automation/Ge

IBM Data Stage engineers

Wed, 27 May 2026 00:00:00 GMT

Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt Ltd Job Description: Role: IBM Data Stage Engineer Experience: 7-12Yrs Location : Bangalore / Hyd / Mumbai /Kolkata / Chennai Work Mode: Hybrid / Shift : (Flexibility Required) / 11:00 AM Shift Notice Period: Immediate to 20 Days preferred Fastest way to get connected LinkedIn Job Description: Strong hands-on experience with IBM DataStage (Server jobs mandatory, Parallel jobs preferred) Ability to analyze and reverse-engineer DataStage jobs (stage count, logic, dependencies) Expertise in job sequences, job control logic, and reusable routines Proficiency in ETL development (transformations, joins, lookups, performance tuning) Strong SQL skills (Teradata, Oracle, MS SQL Server) Experience in lineage discovery, dependency mapping, and job complexity classification Ability to document ETL workflows, transformations, and job logic Experience in data validation, reconciliation, and like-for-like reconciliation against the legacy systems testing Hands-on experience with Unix/Shell scripting and file-based processing Ability to rewrite/customize routines and scripts for migration/modernization Experience collaborating with Databricks/Spark teams during migration and validation Understanding of data quality, logging, and error handling best practices Exposure to migration/modernization projects (DataStage to cloud/Spark) Basic knowledge of Spark/PySpark or modern data platforms Familiarity with automation/GenAI tools for code conversion or metadata generation Strong Analytical, Problem-Solving & Communication Skills

IBM Data Stage engineers

Wed, 27 May 2026 00:00:00 GMT

Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt Ltd Job Description: Role: IBM Data Stage Engineer Experience: 7-12Yrs Location : Bangalore / Hyd / Mumbai /Kolkata / Chennai Work Mode: Hybrid / Shift : (Flexibility Required) / 11:00 AM Shift Notice Period: Immediate to 20 Days preferred Fastest way to get connected LinkedIn Job Description: Strong hands-on experience with IBM DataStage (Server jobs mandatory, Parallel jobs preferred) Ability to analyze and reverse-engineer DataStage jobs (stage count, logic, dependencies) Expertise in job sequences, job control logic, and reusable routines Proficiency in ETL development (transformations, joins, lookups, performance tuning) Strong SQL skills (Teradata, Oracle, MS SQL Server) Experience in lineage discovery, dependency mapping, and job complexity classification Ability to document ETL workflows, transformations, and job logic Experience in data validation, reconciliation, and like-for-like reconciliation against the legacy systems testing Hands-on experience with Unix/Shell scripting and file-based processing Ability to rewrite/customize routines and scripts for migration/modernization Experience collaborating with Databricks/Spark teams during migration and validation Understanding of data quality, logging, and error handling best practices Exposure to migration/modernization projects (DataStage to cloud/Spark) Basic knowledge of Spark/PySpark or modern data platforms Familiarity with automation/GenAI tools for code conversion or metadata generation Strong Analytical, Problem-Solving & Communication Skills

Early Stage Development & Feasibility SME

Tue, 19 May 2026 00:00:00 GMT

Early Stage Development & Feasibility SME

Shape the early project lifecycle (feasibility → concept → planning)

Responsibilities

Define structured approach to:
Site selection
Route / design optioneering
Techno-economic assessment
Provide framework for project planning, cost estimation, timeline.
Align solution with typical regulatory and environmental constraints
Identify typical development risks and mitigation

Profile

Experience in utility capital projects (transmission preferred)
Exposure to CAPEX justification, regulatory approvals

Qualifications

Degree or Master’s in Electrical / Power Systems Engineering

Early Stage Development & Feasibility SME

Tue, 19 May 2026 00:00:00 GMT

Early Stage Development & Feasibility SME

Shape the early project lifecycle (feasibility → concept → planning)

Responsibilities

Define structured approach to:
Site selection
Route / design optioneering
Techno-economic assessment
Provide framework for project planning, cost estimation, timeline.
Align solution with typical regulatory and environmental constraints
Identify typical development risks and mitigation

Profile

Experience in utility capital projects (transmission preferred)
Exposure to CAPEX justification, regulatory approvals

Qualifications

Degree or Master’s in Electrical / Power Systems Engineering

Early Stage Development & Feasibility SME

Fri, 15 May 2026 00:00:00 GMT

Early Stage Development & Feasibility SME

Shape the early project lifecycle (feasibility → concept → planning)

Responsibilities

Define structured approach to:
Site selection
Route / design optioneering
Techno-economic assessment
Provide framework for project planning, cost estimation, timeline.
Align solution with typical regulatory and environmental constraints
Identify typical development risks and mitigation

Profile

Experience in utility capital projects (transmission preferred)
Exposure to CAPEX justification, regulatory approvals

Qualifications

Degree or Master’s in Electrical / Power Systems Engineering

AI / ML Engineer (Intern / Early Stage)

Fri, 29 May 2026 00:00:00 GMT

About Us: Every machine is a signal. We’re building AI to understand it. Sequoia Print is a printing and packaging R&D studio building systems at the intersection of manufacturing, design, and software. We’re looking for an AI / ML Engineer (Intern) to work on applying machine learning to real-world factory problems. What you’ll work on: Analyzing production and machine data Detecting inefficiencies and downtime patterns Building data-driven dashboards Exploring computer vision for quality checks Applying AI to planning, estimation, and workflows Required Skills: Python (NumPy, Pandas, basic ML libraries) Understanding of machine learning fundamentals Ability to work with real-world, unstructured data Basic knowledge of APIs and backend systems Strong problem-solving mindset Bonus: Computer vision / OpenCV TensorFlow / PyTorch Experience with APIs or backend systems Why this role: You won’t work on generic ML problems. You’ll build systems that directly impact how a factory runs. Details: 6-month internship On-site (Kolkata) Immediate start

AI / ML Engineer (Intern / Early Stage)

Fri, 29 May 2026 00:00:00 GMT

About Us: Every machine is a signal. We're building AI to understand it. Sequoia Print is a printing and packaging R&D studio building systems at the intersection of manufacturing, design, and software. We're looking for an AI / ML Engineer (Intern) to work on applying machine learning to real-world factory problems. What you'll work on: Analyzing production and machine data Detecting inefficiencies and downtime patterns Building data-driven dashboards Exploring computer vision for quality checks Applying AI to planning, estimation, and workflows Required Skills: Python (NumPy, Pandas, basic ML libraries) Understanding of machine learning fundamentals Ability to work with real-world, unstructured data Basic knowledge of APIs and backend systems Strong problem-solving mindset Bonus: Computer vision / OpenCV TensorFlow / PyTorch Experience with APIs or backend systems Why this role: You won't work on generic ML problems. You'll build systems that directly impact how a factory runs. Details: 6-month internship On-site (Kolkata) Immediate start

Co‑Founder & CTO (SaaS) - Early Revenue stage Startup

Wed, 27 May 2026 00:00:00 GMT

The Right Hand (Official Google Partner) is building a next‑generation SaaS platform with features like API integration, CRM, IVR, and employee tracking. We are committed to transforming providers operations with innovation and discipline. Role Overview: We are seeking a hands‑on technical co‑founder who has already developed complete product projects from scratch and can lead technology strategy. This is not a side project—it requires full dedication and daily collaboration with the team. Key Responsibilities: Build and scale mobile apps and web applications end‑to‑end. Architect and integrate APIs, CRM modules, and IVR systems. Lead technical team, enforce coding standards, and ensure daily progress. Work in‑person with the team for at least 9 hours/day, 6 days/week. Must‑Have Expertise: Proven track record of developing complete product projects (not just modules). Strong app & web development skills (React, Nest JS, Postgresql, MongoDB). CRM customisation, API integration, and IVR setup (MSG91,Twilio/Exotel). SaaS architecture and compliance knowledge. Cloud/DevOps (AWS/Azure/GCP, CI/CD pipelines, security). Commitment & Compensation: Expectation: 9 hrs/day, 6 days/week, with structured daily updates. Compensation: 20% Equity stake + Monthly stipend). This is a co‑founder role, not a regular job. Who Should Apply: If you have already built complete products, thrive in startup culture, and are ready to dedicate yourself like an army man, this is your calling. Share your portfolio of previous projects. Experince in as ExStartup Tech founder will be highly preferred.