Data Orchestration Jobs in Bengaluru

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Position: Snowflake Data Engineer Location: Remote/Hybrid | Bengaluru, IND What You'll Do: Design & Optimize Data Pipelines: Build and enhance data pipelines and workflows using Snowflake, Azure, and DBT for efficient data ingestion, transformation, and analytics. Boost Performance: Optimize query performance and data storage within Snowflake to ensure lightning-fast data processing and retrieval. Implement ETL/ELT: Design and implement robust ETL/ELT processes, fully leveraging Snowflake's powerful capabilities for data ingestion and transformation. Collaborate Cross-Functionally: Work closely with various teams to understand their data needs and deliver high-quality, scalable data solutions. Ensure Data Governance: Uphold stringent data security, compliance, and governance standards, including data privacy and regulatory requirements. What You'll Bring: Experience: 4-10 years in data engineering, with a minimum of 3 years directly with Snowflake. SQL Mastery: Expert-level proficiency in SQL, including advanced querying, performance tuning, and data modeling. Deep Snowflake Knowledge: In-depth understanding of Snowflake architecture, features, and best practices for optimization and data management. Data Warehousing: Strong grasp of data warehousing concepts and dimensional modeling. Microsoft Technologies: Familiarity with Microsoft SSIS, SSAS, and SSMS. IaC & CI/CD: Knowledge of Infrastructure as Code (IaC) tools like Terraform and experience with GitHub Actions for CI/CD. Workflow Orchestration: Experience with tools like Airflow for managing and automating data workflows. Problem-Solving & Communication: A proactive, positive attitude with excellent written and verbal communication skills. Education: Bachelor s degree in Computer Science, Information Systems, or a related field. Bonus Points If You Have: Migration Experience: Hands-on experience with SQL Server to Snowflake migrations, especially using Fivetran. DBT & Fivetran: Proficiency with the data build tool (dbt) for data transformation and Fivetran for data integration. Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or GCP. Certifications: Relevant certifications like Snowflake SnowPro, AWS Certified Data Analytics, or Azure Data Engineer.

Position: Workato Developer Location: Remote/Hybrid | Bengaluru, IND We're seeking a highly skilled Workato Developer to join our team. If you have deep expertise in automation, APIs, and data integration, you'll be responsible for designing, developing, and maintaining robust integration and automation solutions using the Workato platform. Your work will be crucial in streamlining business processes and enhancing system interoperability. What You'll Do: Integration Development: Design, develop, and implement seamless integrations between various systems using the Workato platform, ensuring data consistency and accuracy across all platforms. Automation: Create and manage powerful automation workflows to optimize business processes, significantly reduce manual tasks, and improve overall operational efficiency. API Management: Work with RESTful and SOAP APIs to build integrations that connect both cloud and on-premises applications, enabling smooth and efficient data exchange. Workflow Orchestration: Design and implement end-to-end workflows that span multiple systems, ensuring smooth data flow and comprehensive process automation. Data Transformation: Develop and manage complex data transformations, mappings, and logic to ensure accurate data migration and synchronization across diverse systems. Monitoring & Troubleshooting: Proactively monitor the performance of integrations and automations, identifying and resolving issues quickly to ensure continuous reliability and optimal performance. Collaboration: Work closely with business analysts, IT teams, and other stakeholders to thoroughly understand integration requirements and translate them into effective technical solutions. Documentation: Create and maintain comprehensive technical documentation for integration designs, workflows, data mappings, and any custom scripts or configurations. Continuous Improvement: Stay updated with the latest Workato features, integration patterns, and best practices. Provide valuable recommendations to enhance existing integrations and workflows. What You'll Bring: Experience: 3+ years in integration development, with at least 1-2 years of hands-on experience specifically with Workato. Workato Expertise: Strong understanding of Workato platform capabilities, including connectors, recipes, triggers, and actions. API Proficiency: Proven experience with RESTful and SOAP APIs, including API design, development, and management. Data Integration: Solid knowledge of data integration best practices, ETL processes, and data synchronization techniques. Cloud & SaaS: Familiarity with major cloud platforms (e.g., AWS, Azure, Google Cloud) and common SaaS applications (e.g., Salesforce, NetSuite, ServiceNow). Problem-Solving: Strong problem-solving skills with the ability to troubleshoot complex integration issues. Scripting: Proficiency in scripting languages (e.g., JavaScript, Python) used in automation and integration contexts. Integration Concepts: Excellent understanding of system integration concepts, including data formats (JSON, XML), messaging patterns, and error handling. Collaboration & Communication: Ability to work effectively both independently and within a collaborative team environment. Strong communication skills to translate business requirements into technical solutions. Attention to Detail: Meticulous attention to detail and a strong commitment to delivering high-quality, reliable integrations. Education: Bachelor s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Preferred Qualifications: Certifications: Workato Automation Pro or equivalent certification. Other Platforms: Experience with other integration platforms like MuleSoft, Zapier, or Dell Boomi. Databases: Knowledge of database systems (e.g., SQL, NoSQL) and data modeling concepts. Agile Development: Familiarity with Agile development practices and tools like Jira or Confluence. Enterprise Systems: Experience in developing integrations for ERP, CRM, and other enterprise systems.

Position: Intern, Analytics Engineer Location: Bangalore, India Duration: Minimum 6 months commitment About Workato Workato is a leader in enterprise orchestration, helping businesses worldwide connect data, processes, and applications through an AI-powered platform. Trusted by 400,000+ customers, Workato enables organizations to drive efficiency and agility in today s fast-changing landscape. Recognized by Business Insider, Forbes, Deloitte, and Quartz for its innovation and workplace culture, Workato fosters a flexible, trust-based environment. Opportunity to work in a vibrant, innovative culture that balances productivity and self-care. Be part of a fast-growing tech company ranked among the fastest-growing and best for remote work. Take ownership and collaborate with passionate teams driving meaningful business impact. Your Responsibilities Build efficient data models that support analysis and key metrics for internal stakeholders. Optimize analytical workflows with macros, scripts, and packages to improve productivity. Design and develop frontend analytics solutions reports, dashboards, and interfaces to drive data-informed decision making. Contribute to Data Governance initiatives by improving processes. Collaborate with business stakeholders to understand data challenges and develop actionable solutions. Support operational needs across various business units. What You ll Need Currently pursuing a degree in Business Analytics, Information Systems, or a related field. Strong understanding of database concepts (e.g., Entity-Relationship Diagrams). Intermediate SQL skills including joins, CTEs, and window functions. Experience with Business Intelligence tools such as Tableau, Power BI, or Sigma Computing. Experience or familiarity with ELT scripting and tools like Snowflake and dbt Cloud is a plus. Personal Traits Fast learner, adaptable, and comfortable in a fast-paced environment. Excellent organizational and multitasking abilities. Strong analytical skills with clear verbal and written communication to present insights effectively. Collaborative team player with a growth mindset and proactive attitude.

Position: AI Solutions Architect Location: Bangalore, India Shift: 2 PM to 11 PM IST (supporting EMEA/US business hours) About Workato Workato is a global leader in enterprise orchestration, leveraging AI-powered automation to streamline complex workflows across data, processes, and applications. Recognized by Business Insider, Forbes, Deloitte, and Quartz, Workato fosters an innovative, flexible, and trust-driven culture, empowering employees to own their work and grow alongside a vibrant team. Join a fast-growing tech company celebrated for innovation and remote work culture. Collaborate in a diverse, inclusive environment focused on continuous improvement. Impact the future of AI-driven business automation on a global scale. Your Responsibilities Architect and develop advanced agent-based AI solutions exhibiting autonomous, adaptive, and proactive behaviors. Design techniques for large language models (LLMs) to author complex AI behaviors reliably. Provide technical expertise, advising clients and internal teams on AI workflows and integration. Tailor and deploy AI-powered IT workflows that are scalable, fault-tolerant, and aligned with enterprise best practices. Collaborate across teams to integrate AI automation into existing IT infrastructures. Deliver custom product demos and support sales and product teams. Contribute to internal knowledge bases and continuously improve processes. Support product ideation through to implementation stages, working closely with product managers. What You ll Need BTech/BE or higher in Computer Science, AI, ML, or related field. 12+ years of relevant experience in AI solution design, development, and deployment. Proven expertise in AI engineering focused on agent-based systems. Strong background in integration projects with hands-on experience in middleware, APIs (REST/SOAP), SOA, ESB, BPM, and databases (RDBMS/NoSQL). Coding experience (2-3 years) in Java, Python, or Ruby. Experience with integration platforms (TIBCO, Dell Boomi, MuleSoft) and cloud technologies (iPaaS, SaaS) is a plus. Familiarity with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, or Marketo is advantageous. Knowledge of microservices, event-driven architecture, process automation (BPM/RPA) is a plus. Personal Attributes Collaborative mindset and ability to thrive in a dynamic startup environment. Strong analytical and critical thinking skills with entrepreneurial initiative. Effective time management and prioritization, even under pressure. Excellent communication skills to convey complex ideas clearly to non-technical audiences. Proactive problem solver and fast learner who can conduct deep research independently. Qualification : BTech/BE or higher in Computer Science, AI, ML, or related field.

Position: Senior Development and Demo Applications Administrator Location: Bangalore, India Shift: 2 PM 11 PM IST (EMEA/US business hours) About Workato Workato is a global leader in enterprise orchestration, helping over 400,000 customers streamline operations by connecting data, processes, applications, and experiences using its AI-powered automation platform. Workato is widely recognized by Forbes, Deloitte, Quartz, and Business Insider as a top startup to bet your career on. Work at the forefront of AI-driven automation in a high-impact, fast-growing environment. Thrive in a flexible, collaborative, innovation-first culture. Enjoy world-class perks while contributing to meaningful work that empowers businesses worldwide. Your Role As a Senior IC overseeing 150+ demo applications, you ll be pivotal in supporting Workato s technical teams including Product, Presales, Postsales, and Customer Support. You ll manage the lifecycle of demo apps, ensure operational excellence, and optimize for scale through automation, governance, and budgeting. Key Responsibilities Governance & Admin Manage lifecycle and governance of 150+ demo applications. Set policies for usage, compliance, and security. Administer user access, permissions, licenses, and complex configurations. Support & Enablement Act as go-to expert for all demo app support, requests, and issues. Train users and build documentation to scale adoption and reduce friction. Collaborate with technical teams to ensure integrations run smoothly. Budgeting & Procurement Define and manage budgets for demo tools and services. Own vendor engagement and procurement with support from sourcing teams. Monitor license renewals and negotiate terms proactively. Setup & Automation Set up new instances aligned with business goals. Implement automation for repetitive admin tasks (e.g., user provisioning, license allocation, workspace setup). Contribute to greater efficiency and systematization of demo environments. What You Bring Technical Skills & Experience 5+ years in application administration or IT governance. Hands-on experience in complex app configurations, user/permission/license management. Strong budgeting, procurement, and vendor management experience. Familiar with IDPs (Okta), SSO, MFA, OAuth2.0, OpenID Connect, SAML. Exposure to orchestration, BPM, or automation platforms a big plus. Excellent documentation, troubleshooting, and process improvement skills. Soft Skills Organized, proactive, and detail-oriented. Excellent communicator and team collaborator. Tech-savvy with a customer-first mindset. Strong analytical and problem-solving capabilities.

Position: Senior Technical Architect Location: Bangalore, India Shift: Flexible, with some support for US/EMEA business hours (up to 11 PM IST) About Workato Workato is a global leader in enterprise orchestration, empowering over 400,000 customers to streamline operations by integrating data, processes, apps, and user experiences via its AI-powered platform. Backed by accolades from Forbes, Quartz, and Deloitte, Workato blends cutting-edge innovation with a culture of autonomy, trust, and collaboration. The Opportunity As a Senior Technical Architect on the Accelerators Team, you ll drive the design and development of packaged integration solutions, frameworks, and reusable assets that solve real-world customer problems. This role blends deep hands-on technical work with strategic planning, cross-functional collaboration, and customer-facing engagements. Key Responsibilities Accelerator & Product Ownership Lead the full lifecycle of accelerators: planning, architecture, development, testing, and continuous iteration. Work closely with stakeholders to prioritize business and technical requirements. Translate abstract challenges into scalable solutions using Workato s iPaaS capabilities. Technical Design & Execution Architect complex integrations and reusable frameworks. Build and test new accelerator features rapidly and reliably. Guide exception handling, CI/CD processes, and connector development. Cross-Team Collaboration Support internal teams (Sales, Product, Services) through custom demos, documentation, and enablement. Contribute to technical marketing through whitepapers, webinars, and blog posts. Participate in Agile sprints and run scrum meetings when required. Customer Engagement & Enablement Collaborate directly with customers to gather insights and tailor technical solutions. Ensure solutions meet enterprise security, governance, and compliance needs (e.g., SOX). Provide up to 20% of support bandwidth during US/EMEA hours. What You Bring Technical Skills 12+ years in design, development, or architecture roles. 8+ years in integration platforms (MuleSoft, Dell Boomi, TIBCO, Oracle SOA, etc.). Deep understanding of API, microservices, and event-driven architectures. Hands-on experience with iPaaS (Workato preferred), SaaS (e.g., Salesforce, NetSuite), and cloud platforms (AWS/GCP/Azure). Working knowledge of REST, SOAP, JSON, XML, and EDI. Comfortable coding in Java, Python, or Ruby. Experience with CI/CD and connector SDKs a plus. Soft Skills & Mindset Strategic thinker with strong analytical and problem-solving ability. Excellent verbal and written communication, capable of engaging both technical and non-technical audiences. Agile practitioner with stakeholder-facing experience. Self-starter with curiosity, adaptability, and a bias for action.

Position: Senior AI Solutions Engineer Location: Bangalore, India Shift: 2:00 PM 11:00 PM IST (EMEA/US support hours) About Workato Workato is the market leader in enterprise orchestration, enabling 400,000+ global customers to streamline operations by connecting data, apps, and processes. Powered by AI, its platform drives agility through intelligent automation. Recognized by Forbes, Deloitte, and Business Insider, Workato offers a dynamic and collaborative culture that blends innovation with work-life balance. Role Overview As a Senior AI Solutions Engineer, you'll play a key role in building and deploying intelligent, agent-based systems and Retrieval-Augmented Generation (RAG) solutions using Workato s Agentic AI platform. This is a highly technical, hands-on role that blends AI/ML expertise, integration design, customer engagement, and scalable solution delivery. Key Responsibilities AI Engineering & Solution Architecture Design and deploy multi-agent AI workflows that are autonomous, adaptive, and goal-directed. Develop robust RAG pipelines using LLMs and Workato connectors to generate grounded, real-time responses. Implement intelligent memory, prompting, and behavior management strategies for AI agents. Technical Leadership Act as the technical expert for AI-driven architectures using Workato s automation and orchestration platform. Architect scalable AI-powered workflows integrating Workday, NetSuite, Salesforce, ServiceNow, etc. Own performance monitoring, troubleshooting, and continuous optimization of AI systems. Customer Collaboration Work directly with customers to design and deliver tailored Agentic AI and RAG solutions. Communicate complex AI concepts clearly to business and technical stakeholders. Champion exceptional customer service and solution success. Cross-Functional Collaboration Support product managers with technical specifications and solution design. Contribute to internal knowledge bases, best practices, and thought leadership. Participate in product ideation, rapid prototyping, and iterative improvement. Required Qualifications Technical Skills BTech/BE in CS, AI/ML, or related field. 8+ years in solution architecture and development; 3+ years on Workato platform required. Solid foundation in AI agent systems, RAG, and large language models (LLMs). Strong experience with APIs (REST, SOAP), JSON, and relational or NoSQL databases. Programming experience: Java, Python, or Ruby (2 3 years). Hands-on integration experience with middleware, iPaaS, BPM, or RPA platforms. Familiarity with automation tools like Dell Boomi, MuleSoft, or TIBCO is a plus. Bonus Knowledge Familiarity with OAuth, SSO, MFA, and cloud platforms (AWS/GCP/Azure). Experience with enterprise SaaS apps (e.g., Salesforce, Workday, ServiceNow, NetSuite). Exposure to event-driven architecture and microservices. Soft Skills & Mindset Strong communication and storytelling skills. Critical thinker with an entrepreneurial mindset. Self-starter with the ability to work independently and across teams. Passionate about solving complex technical problems and delivering value.

Job Title: Engineering Manager Data Engineering Location: Bengaluru, Karnataka, India Department: Engineering Experience: 6 to 8 years Open Positions: 2 About the Role As an Engineering Manager - Data Engineering, you will lead a team of skilled data engineers who design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with cross-functional teams and client stakeholders to deliver high-quality data systems that meet business goals. Your leadership will be pivotal in mentoring your team, driving project execution, and advancing data engineering capabilities across the organization. Key Responsibilities Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive work environment. Conduct performance reviews, provide constructive feedback, and set clear goals for team members. Identify skill gaps and create opportunities for continuous professional growth. Plan, execute, and deliver data engineering projects on schedule and within scope. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure all projects align with broader business objectives and data strategies. Oversee design, development, and maintenance of data pipelines, ETL processes, and data warehouses. Guarantee data quality, integrity, and security in all data engineering initiatives. Identify and drive process improvements to enhance efficiency and effectiveness in data operations. Manage client conversations to understand requirements and translate them into technical deliverables. Build and promote reusable frameworks to drive efficiency in data systems. Lead multiple projects involving streaming, batch, and large-scale data pipelines. Required Technical Skills Strong execution knowledge of data modeling, relational and non-relational databases (SQL and NoSQL). Expertise with ETL and orchestration tools such as IICS, Metatron, Airflow, Azure Data Factory, AWS Glue, or GCP Composer. Experience working with data warehouses like Snowflake, Redshift, Hive, or BigQuery. Proficiency in Apache Spark and optimization of Spark jobs. Strong programming skills in Python (mandatory), with knowledge of Scala, Rust, or Java as a plus. Understanding of Medallion architecture patterns. Advanced SQL skills with query optimization expertise. Experience with software development lifecycle, unit testing, and functional programming concepts. Required Non-Technical Skills Strong problem-solving skills with the ability to assess financial impacts of decisions. Excellent written and verbal communication skills, capable of engaging with mid-management client stakeholders. Ability to balance pragmatic solutions against perfect ones, driving team consensus and business value. Exceptional people management skills, including conflict resolution, empathy, negotiation, and active listening. Proven leadership and mentorship abilities, providing technical guidance to delivery teams. Self-driven, with a strong sense of ownership and accountability. Preferred Educational Qualifications Bachelor s degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics). Lead and mentor a talented team working on cutting-edge data engineering projects. Collaborate closely with clients and cross-functional teams in a dynamic, fast-growing company. Drive innovation with scalable, high-impact data solutions. Grow your leadership and technical skills in a supportive, inclusive environment. Qualification : Bachelors degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics).

Job Title: Associate Architect AI Location: Bangalore, India Employment Type: Full-Time, Regular Overview At Aptean, we design industry-specific ERP and business software that helps our customers transform operations and gain a competitive edge. With over 90 products, 4,500+ employees, and a global presence, we deliver solutions that are anything but generic. Now, we re building on that legacy by integrating cutting-edge AI into everything we do and we want you to be part of it. We are looking for an Associate Architect AI to play a key role in shaping Aptean s AI-first future. This is a hands-on, high-impact role focused on the design, development, and deployment of AI-powered solutions including smart chatbots, Retrieval-Augmented Generation (RAG) pipelines, predictive analytics, and autonomous AI agents. If you're passionate about solving real-world problems using the latest in LLMs, AI orchestration, and data automation we want to talk. Key Responsibilities Design and implement AI-led automation solutions, leveraging technologies like agentic AI and LLMs. Develop and refine structured prompts to improve AI model responses and contextual accuracy. Integrate Azure OpenAI and Microsoft Fabric AI Skills to enhance conversational AI in Fabric Lakehouse environments. Build and optimize RAG pipelines and semantic models for improved AI-driven content ingestion and understanding. Design prompts for AI agents, chatbots, and virtual assistants that automate business workflows. Research and implement best practices to minimize hallucinations, biases, and inconsistencies in AI-generated outputs. Collaborate on curating, cleaning, and preparing training datasets for machine learning models. Use Python and tools like LangChain to prototype and deploy AI-enabled solutions across multiple platforms. Monitor AI system performance, scalability, and business alignment; continuously iterate based on data and user feedback. Stay up to date with advancements in NLP, large language models (LLMs), and generative AI technologies. Qualifications Education: Bachelor s degree in Computer Science or related field (required) Master s degree (preferred) Experience: 8 12 years of experience in AI, machine learning, or data science roles Strong track record of delivering AI-driven solutions from concept to deployment Technical Skills and Competencies Hands-on experience with LLMs (e.g., GPT, Claude, Gemini, LLaMA) and AI APIs. Proficient in Python and ML frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Experience with Microsoft Fabric, Fabric AI Skills, and Lakehouse/Medallion architecture. Familiarity with OpenAI API, LangChain, Azure, JSON, Java, JavaScript. Strong foundation in NLP concepts, prompt engineering, and model behavior analysis. Experience developing and deploying chatbots across platforms like Microsoft Teams, SharePoint, and web portals. Understanding of statistical models (e.g., regression, clustering) and ML algorithms (e.g., decision trees, neural networks). Strong written and verbal communication skills; able to interpret and explain AI behavior clearly. Innovative thinker with a startup mindset. Comfortable in a fast-paced, collaborative environment. Passionate about AI and its transformative potential. Focused on real outcomes and user-centric design. At Aptean, we believe in growth through innovation, and AI is at the core of that vision. You'll work on high-impact projects that stretch your capabilities, in a company that values curiosity, collaboration, and continuous learning. If you're excited to lead in the age of AI, this is your moment. Diversity & Inclusion at Aptean Aptean is committed to building a workplace where everyone belongs. We value diversity in all its forms and believe our differences make us stronger. We strive to create an inclusive environment where everyone has the opportunity to grow, succeed, and contribute their best work. Qualification : Bachelors degree in Computer Science or related field (required)

Job Title: Audience Platform Lead Insights & Analysis Location: Bangalore Employment Type: Full-Time About the Role We re seeking a strategic and technically skilled Audience Platform Lead to join our Insights & Analysis team. This role will focus on leveraging platforms like Adobe Analytics, Google Analytics, WebTrends, and various Customer Data Platforms (CDPs) to enable data-driven marketing and customer insights. As a subject matter expert in tag management, audience creation, and marketing technology integration, you will play a key role in shaping and implementing audience strategies across platforms. Key Responsibilities Lead the design, development, and implementation of solutions on Customer Data Platforms (CDPs) such as Adobe Experience Platform (AEP), Tealium, Segment, Lytics, ActionIQ, or C360. Drive data ingestion workflows via batch and real-time modes using ETL tools, APIs, and JavaScript. Build data models and define audience segments and customer journeys based on business requirements and architecture. Collaborate with internal teams and stakeholders to translate BRDs into actionable CDP use cases for marketing activation. Enable data extraction and outbound flows to reporting tools, other Adobe products, and third-party systems. Define and apply business rules and data transformations aligned with privacy and compliance standards. Guide and mentor other team members on platform capabilities, integration best practices, and scalable solutions. Ensure alignment with data privacy laws such as GDPR, CCPA, and others. Required Qualifications Proven experience in leading CDP-related development projects. Strong scripting experience with Python, Java, or Node.js. Hands-on experience with REST APIs, Open APIs, and tools like cURL. Proficiency in data analysis, data modeling, and data mapping. Experience working with unstructured data using formats such as JSON and Parquet. Preferred Qualifications: Familiarity with data privacy regulations including GDPR and CCPA. Experience in client-facing roles or stakeholder engagement. Working knowledge of reporting technologies and visualization tools. Experience with Big Data ETLs and cloud-based data platforms. Background in customer journey orchestration, audience activation, and segment development. Exposure to MLOps, data governance, or MarTech strategy is a plus. Work at the intersection of data, marketing, and technology. Lead cutting-edge customer data platform initiatives. Be part of a collaborative, innovative, and growth-driven environment. Make a measurable impact on customer engagement and digital transformation.

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

DevOps Engineer Location: Bengaluru, India Experience: 3 - 5 Years Job Type: Full-time About VuNet VuNet is a deep-tech leader in Business Journey Observability, leveraging Big Data and Machine Learning to deliver end-to-end digital experience monitoring for major financial institutions. The platform monitors over 28 billion transactions monthly, powering top banks and enterprises in India and MEA. Work on cutting-edge observability technology Join a Series B funded, award-winning startup recognized by Gartner, Forbes, and NASSCOM Collaborate in a fast-paced, innovative environment focused on learning and growth Access to mental wellness support, health insurance (covering family), and career development programs Role Overview: DevOps Engineer Design, develop, and maintain VuSmartMaps deployments across on-premises, cloud, and hybrid environments Automate deployments using Infrastructure-as-Code (IaC) and CI/CD pipelines Manage cybersecurity assessments and remediations for deployments Collaborate with development teams to improve deployment processes and infrastructure support Publish VuSmartMaps in cloud marketplaces (AWS, Azure, GCP) Stay current on DevOps, CI/CD, infrastructure orchestration, cybersecurity, AI workflows, and big data technologies Key Responsibilities Develop and maintain IaC frameworks enabling flexible VuSmartMaps deployment Build and manage CI/CD pipelines using GitHub Actions, Jenkins Monitor infrastructure, conduct cybersecurity testing, and manage patching Improve deployment efficiency and customer experience Collaborate cross-functionally for seamless integration and rollout Must-Have Skills 3+ years building/managing CI/CD pipelines (GitHub Actions, Jenkins) Certified/experienced in Kubernetes, Docker, Terraform, Helm, YAML Hands-on experience with GitOps workflows Knowledge of web servers (Nginx, Django), identity providers (Active Directory, LDAP), load balancers (Traefik) Experience with databases (PostgreSQL, Elasticsearch, Hadoop stack) and secrets management (Key Vault) Familiarity with cloud services (AWS, Azure, GCP) across IaaS, PaaS, SaaS layers Strong Linux and scripting skills (Bash, Python) Excellent communication skills for cross-team collaboration Good-to-Have Skills Exposure to Red Hat OpenShift, VMware, Ansible, Chef, Puppet Familiarity with container orchestration tools (Podman, Docker Swarm, Nomad) Experience optimizing dockerized microservices and container images Benefits Comprehensive health insurance covering you and your family Mental health and 1:1 counseling support Learning culture focused on innovation and career growth Inclusive, transparent workplace culture Access to new Gen AI tools and integrated tech workspace Career development and skill enhancement programs

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Analytics Lead/Architect Location: Bengaluru, Karnataka, India Job Category: Consulting Job Type: Regular Employee Role: Individual Contributor Job Description: As a BI Architect, you will work on both offshore and onsite client projects. Your responsibilities will involve working with Oracle BI Applications, OAC (Oracle Analytics Cloud), and ODI (Oracle Data Integrator) implementations. You will engage with clients to understand their requirements, lead technical designs, and oversee system and integration testing using Oracle methodologies. You will also contribute to PreSales, the creation of Go-to-Market (GTM) strategies, and take the lead in developing IP/solution accelerators. Additionally, you will be responsible for owning the technical delivery of large, complex projects. Responsibilities: Lead Oracle BI Applications, OAC, and ODI implementations. Interact with clients to understand and gather business requirements. Oversee technical design, development, and system/integration testing. Contribute to PreSales activities and the creation of Go-to-Market (GTM) strategies. Lead the development of IP/solution accelerators. Own the technical delivery of large and complex projects. Required Skills: BI (Business Intelligence) expertise. Experience with Oracle Data Integrator (ODI). This position offers the opportunity to work on cutting-edge analytics technologies and deliver impactful solutions in a collaborative and dynamic environment. If you have significant experience in Oracle BI and ODI implementations, and enjoy leading large, complex projects, we would love to hear from you.

Sr. Data Engineer - AWS - Big Data Location:Bangalore Type of Employment: Full-Time Experience Required: 7 to 10 years Job Overview: We are seeking a highly skilled Sr. Data Engineer with expertise in AWS cloud technologies and Big Data to join our Cloud Data Architect Team at Infocepts. In this critical role, you will design and implement robust data solutions using technologies like EMR, Athena, PySpark, AWS Lambda, S3, and other AWS services. The ideal candidate will have a strong foundation in database concepts and SQL and will be responsible for building scalable data pipelines to support high-performance data processing. Key Responsibilities: Technology Assessment and Design: Study the existing technology landscape and evaluate current data integration frameworks. Assist in designing complex Big Data use cases leveraging AWS services. Documentation and Stakeholder Communication: Prepare and maintain comprehensive project documentation, adhering to quality guidelines and schedules. Work closely with Architects and Project Managers to provide accurate estimations, scoping, and scheduling assistance. Clearly communicate design decisions and conduct Proof-of-Concepts to validate new solutions before implementation. Process Improvement and Automation: Identify areas for process automation to improve efficiency and team productivity. Provide expert guidance and troubleshooting support to junior Data Engineers. Training and Knowledge Sharing: Develop and deliver technology-focused training sessions for the team, ensuring continuous knowledge sharing. Share expertise through Expert Knowledge Sharing sessions with Client Stakeholders. Essential Skills: AWS Services Expertise: In-depth knowledge of S3, EC2, EMR, Athena, AWS Glue, and Lambda. Big Data Technologies: Proficiency with Apache Spark, Databricks, and Big Data table formats such as Delta Lake (open-source). Data Warehousing: Strong understanding of data warehousing concepts and architectures. Programming Skills: Advanced programming skills in Python for building data pipelines. SQL Expertise: Strong SQL skills for data transformation, aggregation, and querying large datasets. ETL Workflow Development: Expertise in creating ETL workflows with complex transformations (e.g., SCD, deduplication, aggregation). Orchestration Tools: Familiarity with orchestration tools like Apache Airflow. MPP Databases: Experience with at least one MPP database (e.g., AWS Redshift, Snowflake, SingleStore). Cloud Databases: Exposure to cloud databases like Snowflake or AWS Aurora. Desirable Skills: Cloud Databases: Familiarity with Snowflake, AWS Aurora. Big Data Technologies: Experience with Hadoop and Hive. AWS Certification: Associate or Professional Level AWS Certification. Advanced Knowledge of Big Data Solutions: Exposure to big data tools and frameworks on cloud platforms. Qualifications: Experience: 7+ years of overall IT experience, with 5+ years specifically focused on AWS-related projects. Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Technical Certifications: Demonstrated commitment to continuous learning through certifications or relevant training. Qualities: Strong analytical and problem-solving skills to deep dive into complex technical challenges.

Position: Cloud Data Engineer AWS Big Data Location: Bangalore, India Employment Type: Full-time Experience Required: 5 to 8 years Purpose of the Position: Join the Infocepts Cloud Data Architect Team as a Cloud Data Engineer and help design and implement cutting-edge big data solutions on AWS. You will leverage your expertise in EMR, Athena, PySpark, S3, AWS Lambda, and SQL to develop robust and scalable data platforms. Key Responsibilities: Technology Assessment and Design: Assess existing technology landscape and data integration frameworks. Design complex Big Data use cases using AWS services under guidance of the Architect. Support architectural decision-making by evaluating trade-offs in cost, performance, and durability. Recommend optimizations to existing data infrastructure. Documentation and Stakeholder Communication: Create project documentation adhering to quality and delivery standards. Collaborate closely with Architects and Project Managers for scoping, estimation, and planning. Present design decisions to technical and business stakeholders clearly. Conduct PoCs and design review sessions. Process Improvement and Automation: Identify and suggest opportunities for automation and process enhancements. Mentor junior engineers and support technical problem solving. Training and Knowledge Sharing: Prepare and deliver internal training on AWS and Big Data topics. Lead client knowledge sharing sessions and contribute to case studies. Essential Skills: In-depth experience with AWS services: S3, EC2, EMR, Athena, Glue, Lambda Familiarity with MPP databases like Redshift, Snowflake, or SingleStore Proficiency in Apache Spark and Databricks Strong programming skills in Python Experience building data pipelines using AWS and Databricks Knowledge of Big Data file formats such as Delta Lake Advanced SQL skills for large-scale data manipulation Hands-on experience with Apache Airflow or similar orchestration tools Strong understanding of ETL workflows and data warehousing concepts Desirable Skills: Cloud databases: AWS Aurora, Snowflake Experience with Hadoop and Hive AWS Certifications (Associate or Professional level) are a plus Qualifications: Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) Overall 5+ years of IT experience with at least 3 years in AWS Big Data projects Ongoing learning and technical certifications are strongly encouraged Key Qualities: Strong problem-solving and analytical thinking Self-driven with a passion for emerging data technologies Excellent communication and client presentation skills Ability to work in cross-functional, agile teams Apply now to be part of a high-impact data transformation team working on large-scale cloud data projects! Qualification : Bachelors degree in Computer Science, Engineering, or related field (Masters preferred)

Position: Data Integration Developer (Snowflake & DBT) Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: This role seeks candidates who are passionate about data and motivated to address the organization's analytics challenges. As a Data Integration Developer (Snowflake & DBT), you will play a crucial role in assisting our clients with their data and analytics journey. Your responsibilities will include building robust data pipelines, enhancing data consistency, and developing the necessary infrastructure to support analytics platforms. Key Responsibilities: Technical Expertise: Develop and optimize ETL processes using Snowflake capabilities. Build and maintain advanced data models and ETL processes using DBT (Data Build Tool). Ensure efficient data transformation and integration within the data warehouse. Collaboration: Work closely with data analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions. Facilitate effective communication and collaboration across teams. Quality Assurance: Implement and oversee data quality checks and testing procedures. Ensure data accuracy, consistency, and compliance with governance policies. Documentation and Reporting: Create and maintain comprehensive documentation for ETL processes and project workflows. Provide regular updates and reports on project progress and performance metrics. Compliance and Security: Ensure all data engineering activities comply with data governance and security policies. Implement measures to protect data integrity and confidentiality. Essential Skills: Proficient in SQL: Skilled in writing efficient queries on large datasets, including CTE and database table design. Snowflake Expertise: Experience with Snowflake or other database technologies, including SQL tuning. ETL Development: Skilled in developing and optimizing ETL processes using Snowflake and other tools. DBT Experience: Familiar with DBT Core/DBT Cloud and fundamental data modeling concepts (3NF, Star, Snowflake). Data Analysis and Profiling: Experienced in data analysis and profiling tasks. Qualifications: Overall Work Experience: More than 5 years of experience, with at least 2-3 years of experience in Snowflake and DBT. Education: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Key Qualities: Decision Making: Ability to influence and implement change with confidence and sound decisions. Problem-Solving: Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers. Communication: Ability to consult, write, and present persuasively. Team Collaboration: Works effectively in self-organized, cross-functional teams. Apply now and become an integral part of our innovative team working on cutting-edge data integration solutions! Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus).

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Job Title: Application Developer - ETL and Data Management Introduction: In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide deep technical and industry expertise to a wide range of public and private sector clients globally. Our delivery centers leverage locally-based skills to help clients drive innovation and the adoption of new technologies. A career in IBM Consulting is built on long-term relationships and close collaboration with clients across the world. You will work with leaders across industries to improve the hybrid cloud and AI journeys for some of the most innovative and valuable companies worldwide. Your ability to make a meaningful impact for clients is enabled by our strategic partner ecosystem and robust technology platforms, including Software and Red Hat. Curiosity and a constant quest for knowledge are key to success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, explore new ideas, and come up with creative solutions that result in groundbreaking impact for a wide network of clients. Our culture is built on evolution and empathy, focusing on long-term career growth and development in an environment that values your unique skills and experience. Your Role and Responsibilities: ETL Workflow Development: Develop and implement ETL workflows by creating ETL jobs, and data models in datamarts using technologies such as Snowflake, DBT, Unix, and SQL. Batch Processing Redesign: Redesign Control M Batch processing for ETL job builds to run efficiently in a production environment. System Evaluation and Improvement: Study the existing system to evaluate its effectiveness and design new systems to improve workflow efficiency. Business Program Analysis & Support: Perform requirements identification, business program analysis, testing, and system enhancements while providing production support. Agile Environment: Work effectively in an Agile environment and gain familiarity with tools such as JIRA and SharePoint. Client Interaction: Good written and verbal communication skills are essential as you will interact directly with client counterparts to understand requirements and provide solutions. Required Technical and Professional Expertise: Experience: A minimum of 3 years of experience in developing ETL applications, implementing workflows, and creating data models using Snowflake, DBT, Unix, and SQL technologies. Agile Environment: Strong understanding of working in an Agile environment and proficiency in tools like JIRA and SharePoint. Problem-Solving Skills: Ability to manage change and proven time management skills. Strong interpersonal skills to contribute effectively to team efforts. Continuous Learning: Stay up-to-date with technical knowledge by attending educational workshops and reviewing relevant publications. Preferred Technical and Professional Expertise: ETL Development: Experience in developing triggers, functions, and stored procedures to support ETL workflows. Impact Analysis: Assist with impact analysis of changing upstream processes on the Data Warehouse and reporting systems. ETL & Reporting Support: Participate in the design, testing, support, and debugging of new and existing ETL and reporting processes. Data Profiling & Troubleshooting: Perform data profiling and analysis using a variety of tools, troubleshoot and support production processes, and maintain documentation. Innovation: Be part of a team that drives global change and leverages cutting-edge technologies to solve complex problems. Growth: Gain access to continuous learning and career development opportunities to further your expertise in data management and cloud technologies. Collaboration: Work with a diverse team in a collaborative environment that values new ideas and creative solutions. Global Impact: Your work will contribute to improving business operations and technological advancements for clients around the world. If you're passionate about driving innovative solutions, working with a variety of clients, and continuously evolving your skills, IBM Consulting is the perfect place for you to advance your career.