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Global digital transformation solutions provider.
Job Description – Senior Technical Business Analyst
Location: Trivandrum (Preferred) | Open to any location in India
Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST
About the Role
We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.
As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.
Key Responsibilities
Business & Analytical Responsibilities
- Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
- Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
- Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
- Break down business needs into concise, actionable, and development-ready user stories in Jira.
Data & Technical Responsibilities
- Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
- Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
- Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
- Validate and ensure data quality, consistency, and accuracy across datasets and systems.
Collaboration & Execution
- Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
- Assist in development, testing, and rollout of data-driven solutions.
- Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.
Required Skillsets
Core Technical Skills
- 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
- Data Analytics: SQL, descriptive analytics, business problem framing.
- Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
- Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
- Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.
Soft Skills
- Strong analytical thinking and structured problem-solving capability.
- Ability to convert business problems into clear technical requirements.
- Excellent communication, documentation, and presentation skills.
- High curiosity, adaptability, and eagerness to learn new tools and techniques.
Educational Qualifications
- BE/B.Tech or equivalent in:
- Computer Science / IT
- Data Science
What We Look For
- Demonstrated passion for data and analytics through projects and certifications.
- Strong commitment to continuous learning and innovation.
- Ability to work both independently and in collaborative team environments.
- Passion for solving business problems using data-driven approaches.
- Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.
Why Join Us?
- Exposure to modern data platforms, analytics tools, and AI technologies.
- A culture that promotes innovation, ownership, and continuous learning.
- Supportive environment to build a strong career in data and analytics.
Skills: Data Analytics, Business Analysis, Sql
Must-Haves
Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R
Job Title : Enterprise Architect
Experience : 10+ Years
Location : Trivandrum / Kochi
Budget : Up to ₹35 LPA
Notice Period : Immediate to 15 Days
Job Overview :
We’re seeking a seasoned Enterprise Architect with strong experience in the BFSI domain to lead enterprise-wide architecture design and technology strategy. The role involves aligning IT with business goals, designing scalable systems, and driving digital transformation across the organization.
Mandatory Skills :
Enterprise architecture (TOGAF/Zachman), cloud architecture, application & infrastructure design, BFSI domain experience, system integration, stakeholder management, and technical leadership.
Key Responsibilities :
- Define and execute enterprise architecture strategy, vision, and roadmap.
- Design architecture across applications, data, infrastructure, and security.
- Lead technical decisions, architecture reviews, and standardization efforts.
- Collaborate with business, IT, and vendor teams to ensure aligned solutions.
- Ensure compliance with security, governance, and regulatory standards.
- Stay updated on emerging tech and recommend innovations.
Required Skills :
- Proven experience in enterprise architecture frameworks (TOGAF/Zachman).
- Strong understanding of cloud, microservices, application development, and data management.
- Experience in automation, CI/CD, and DevOps practices.
- Excellent communication, leadership, and stakeholder management skills.
- Domain expertise in BFSI (Retail/Healthcare is a plus).
- Certifications like TOGAF, CEH preferred.

Global digital transformation solutions provider
JOB DETAILS:
* Job Title: Associate III - Azure Data Engineer
* Industry: Global digital transformation solutions provide
* Salary: Best in Industry
* Experience: 4 -6 years
* Location: Trivandrum, Kochi
Job Description: Azure Data Engineer (4–6 Years Experience)
Job Type: Full-time
Locations: Kochi, Trivandrum
Must-Have Skills
Azure & Data Engineering
- Azure Data Factory (ADF)
- Azure Databricks (PySpark)
- Azure Synapse Analytics
- Azure Data Lake Storage Gen2
- Azure SQL Database
Programming & Querying
- Python (PySpark)
- SQL / Spark SQL
Data Modelling
- Star & Snowflake schema
- Dimensional modelling
Source Systems
- SQL Server
- Oracle
- SAP
- REST APIs
- Flat files (CSV, JSON, XML)
CI/CD & Version Control
- Git
- Azure DevOps / GitHub Actions
Monitoring & Scheduling
- ADF triggers
- Databricks jobs
- Log Analytics
Security
- Managed Identity
- Azure Key Vault
- Azure RBAC / Access Control
Soft Skills
- Strong analytical & problem-solving skills
- Good communication and collaboration
- Ability to work in Agile/Scrum environments
- Self-driven and proactive
Good-to-Have Skills
- Power BI basics
- Delta Live Tables
- Synapse Pipelines
- Real-time processing (Event Hub / Stream Analytics)
- Infrastructure as Code (Terraform / ARM templates)
- Data governance tools like Azure Purview
- Azure Data Engineer Associate (DP-203) certification
Educational Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
Skills: Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake Storage
Must-Haves
Azure Data Factory (4-6 years), Azure Databricks/PySpark (4-6 years), Azure Synapse Analytics (4-6 years), SQL/Spark SQL (4-6 years), Git/Azure DevOps (4-6 years)
Skills: Azure, Azure data factory, Python, Pyspark, Sql, Rest Api, Azure Devops
Relevant 4 - 6 Years
python is mandatory
******
Notice period - 0 to 15 days only (Feb joiners’ profiles only)
Location: Kochi
F2F Interview 7th Feb

Global Digital Transformation Solutions Provider
SENIOR DATA ENGINEER:
ROLE SUMMARY:
Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.
RESPONSIBILITIES:
- Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
- Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
- Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
- Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
- DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
- Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
- Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
- Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
- Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
- Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.
REQUIRED QUALIFICATIONS:
- Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
- Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
- Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
- ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
- Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
- DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
- Serverless and events: Design event-driven distributed systems on AWS.
- NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
- AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.
NICE-TO-HAVE QUALIFICATIONS:
- Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
- Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
- Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
- Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.
OUTCOMES AND MEASURES:
- Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
- Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
- Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
- Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
- Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.
LOCATION AND SCHEDULE:
● Location: Outside US (OUS).
● Schedule: Minimum 6 hours of overlap with US time zones.
We are seeking a detail-oriented and analytical Business Analyst to bridge the gap between business needs and technology solutions. The ideal candidate will be responsible for analyzing business processes, identifying improvement areas, and supporting data-driven decision-making through insights and documentation.
We are seeking a skilled Cloud Data Engineer who has experience with cloud data platforms like AWS or Azure and especially Snowflake and dbt to join our dynamic team. As a consultant, you will be responsible for developing new data platforms and create the data processes. You will collaborate with cross-functional teams to design, develop, and deploy high-quality frontend solutions.
Responsibilities:
Customer consulting: You develop data-driven products in the Snowflake Cloud and connect data & analytics with specialist departments. You develop ELT processes using dbt (data build tool)
Specifying requirements: You develop concrete requirements for future-proof cloud data architectures.
Develop data routes: You design scalable and powerful data management processes.
Analyze data: You derive sound findings from data sets and present them in an understandable way.
Requirements:
Requirements management and project experience: You successfully implement cloud-based data & analytics projects.
Data architectures: You are proficient in DWH/data lake concepts and modeling with Data Vault 2.0.
Cloud expertise: You have extensive knowledge of Snowflake, dbt and other cloud technologies (e.g. MS Azure, AWS, GCP).
SQL know-how: You have a sound and solid knowledge of SQL.
Data management: You are familiar with topics such as master data management and data quality.
Bachelor's degree in computer science, or a related field.
Strong communication and collaboration abilities to work effectively in a team environment.
Skills & Requirements
Cloud Data Engineering, AWS, Azure, Snowflake, dbt, ELT processes, Data-driven consulting, Cloud data architectures, Scalable data management, Data analysis, Requirements management, Data warehousing, Data lake, Data Vault 2.0, SQL, Master data management, Data quality, GCP, Strong communication, Collaboration.
Work Location: TVM/Kochi/Bangalore
Experience: 6-10years
- At least 5 years of experience in SailPoint IdentityIQ architecture, design, development, configuration, testing, integration, and deployment.
- Must have experience in application onboarding, provisioning, workflow customization, access review etc.
- SailPoint connector development experience with both out-of-the-box and custom connectors.
- Sound experience in developing applications using Java, JEE components.
- At least 3+ year of experience with Java, BeanShell/JavaScript, JSP/Servlets, SQL, Powershell, and XML.
- Experience in any other IDM suite (OIM, IBM, Sun, CA, Novell) is an added advantage
Farmers Fresh Zone aims at unlocking access to safe-to-eat, pesticide-free fruits & vegetables directly sourced from our farmers. We are an omnichannel platform having both an offline and online presence. Backed by the Indian Angel Network, We are one of the first Indian agri-tech firms to introduce unit-level traceability for all our products which means consumers can track the origin of a product including details of the farms and farmers.
We are all in the quest to create a positive movement, a movement aimed at reducing the gap between a consumer & a farmer, a movement that gives consumers access to safe & non-toxic farmers' produce, a movement that is uplifting the farmer community. Today we are proud to say that we are connecting 1500+ farmers to urban consumers. We envisage our brand to go global soon, post creating a cemented presence in India.
We are not looking for job-seekers, we are looking for impact-creators with a go-getter attitude. We are looking for dynamic individuals who are honestly driven by the cause and are customer-obsessed, be it our end-user, farmer, vendor, or even our internal community.
As a Customer Retention & Market Automation Specialist, you will play a key role in driving & growing our mobile app & website’s engagement and retention metrics. You will run various messaging experiments on multiple channels like notifications, SMS, Email, Whatsapp.
Our ideal candidate will have strong analytical and problem solving skills, led or managed teams, and have understanding of engagement tools like Moengage, Clevertap or Webengage. We love people who are humble and collaborative with hunger for excellence.
Responsibilities:
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Create omni-channel (push notifications, Whatsapp, In-app prompts, SMS, Email etc) marketing campaigns & journeys based on different user segments to drive user acquisition, activation, engagement & retention.
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Define AARRR KPIs and Optimize them with Moengage multi-channel journeys by continuously performing A/B tests. Drive increased engagement & retention.
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Be responsible for and own execution, monitoring and measurement of marketing campaigns and their success. Collaborate with designers & Content creators to get graphic/text content.
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Compile regular reports of campaign performance and results, collaborate with analyst to monitor and review past campaigns and journeys.
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Improve new campaigns using data and feedback from existing and previous projects.
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Create detailed and diverse user-segments to identify high, medium & low activity cohorts.
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Create communication & content strategies to increase the size of high-activity cohorts.
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Analyze website & mobile traffic, create user journeys & campaigns to enable cross-channel product experience and marketing.
Qualification & Requirements:
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Bachelor’s Degree in Computer Science, Engineering or any other related field.
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1+ years of experience in creating mobile/web application journeys & campaigns on tools like moengage, clevertap etc.
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In-depth knowledge & hands on experience of digital analytics software like Zoho Page Sense, Google Analytics, CleverTap, Branch, Firebase, Facebook Analytics.
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Excellent copy writing skills to produce high quality copies for marketing campaigns and journeys.
Soft Skills:
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Ability to prioritize and manage multiple milestones and projects efficiently.
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Team spirit, good time-management skills, strong communication skills to collaborate with various stakeholders.
Detail oriented, advanced problem solving skills with customer-centric approach
Mandatory Skills:
C#, dotnet core
Preferred Skills:
Good communication skill is mandatory.
Experience with Dot net with C#



