Batch Data Communication BDC Jobs in Pune

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.

Role: Senior Architect Key Responsibilities: Platform Integration & Collaboration: Work across various platforms, collaborating with other support teams to ensure smooth integration and efficient operations. Solution Design & Development: Design, develop, test, and implement changes to solutions based on business requirements and strategic direction. Collaboration with Development Teams: Collaborate with development teams to test and maintain platforms and ensure smooth integration with other systems. Product/Project Support: Communicate regularly with Product Owners and agile Pods to provide ongoing support for products and projects. Guidance & Mentorship: Guide junior team members in development and delivery to help them grow and ensure efficient workflow. Release Support & Monitoring: Responsible for supporting production releases, conducting peer reviews, and overseeing the CI/CD pipeline implementation and service monitoring. Shift & On-Call Availability: Be flexible in working hours, ready to work in shifts and be on-call when needed. Requirements: To be successful in this role, you should meet the following criteria: Experience: 8-10 years of experience in software development, specifically in data analysis or big data projects. Technical Expertise: Strong skills in SpringBoot, Java 8, Kubernetes, Docker, Microservices, and PostgreSQL. Good understanding of CDP 7.1, HDFS filesystems, Unix, and Unix Shell Scripting. Knowledge of Elasticsearch, DevOps concepts, and related platforms. System Design: Proven experience in analyzing complex business requirements and translating them into effective system designs. Data Processing Expertise: Expertise in building and deploying production-level data processing batch systems supported by application support teams. Communication & Collaboration: Ability to work at pace, communicate clearly, and operate both independently and as part of a team. Desirable Skills: Good to have knowledge of Quantexa software, Angular, HTML, CSS, and JavaScript. Optional knowledge of cloud platforms. At HSBC, you'll have the opportunity to make a real impact. We support your career development, offer flexible working, and provide a collaborative, inclusive environment where you can thrive. Qualification : Person should have 8-10 years of experience in s/w development on data analysis or big data projects.

Introduction: In this role, you will be a part of one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to both public and private sector clients worldwide. These centers provide locally-based skills and technical know-how to drive innovation and foster the adoption of new technologies. At IBM Consulting, you will form long-term relationships and collaborate closely with clients across the globe, helping them navigate the hybrid cloud and AI journey. You will leverage our extensive strategic partner ecosystem and robust technology platforms, including Software and Red Hat, to make a meaningful impact on client success. You will also be encouraged to challenge the norm, explore new ideas, and develop creative solutions to deliver groundbreaking results. Your Role and Responsibilities: As an SAP ABAP Developer, you will be responsible for: Analytical problem-solving within SAP environments, working with a range of systems and modules. SAP ABAP programming, including working on Module pool, interfaces, Adobe forms, and BADI. Developing and maintaining solutions to enhance SAP-based business processes. Troubleshooting, debugging, and optimizing existing ABAP code. Collaborating with cross-functional teams to ensure alignment between development and functional requirements. Required Technical and Professional Expertise: BE / B Tech in any stream, M.Sc. (Computer Science/IT), or M.C.A. Minimum 5-7 years of extensive prior experience in SAP ABAP programming. Strong experience in Module pool programming, interfaces, Adobe forms, and BADI. Excellent analytical and problem-solving skills. Preferred Technical and Professional Expertise: Basic knowledge of functional modules like FI/CO, SD, MM. Basic knowledge of other functional modules like PP/QM, PM, HR, etc. Ability to adapt and learn new SAP functionalities or modules quickly. At IBM Consulting, you will be a part of an innovative and dynamic team. You will have the opportunity to collaborate on complex projects, working with the latest cloud and AI technologies, helping drive transformation and technological advancement for global clients. IBM offers a culture of continuous learning, providing opportunities for personal and professional growth in an environment that supports your career development. Qualification : BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 5-7 years

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Salesforce Developer Pune (Kalyani Nagar) Location: Pune Kalyani Nagar (Hybrid: 4 Days/Week) Experience: 4+ Years Start Date: Immediate Salary: Best in Industry Employment Type: Full-Time Education: Bachelor s Degree (Preferred in Computer Science or IT) About the Role: We are looking for an experienced and passionate Salesforce Developer to join our growing team in Pune. This role involves working on Salesforce Sales Cloud, Lightning Web Components (LWC), Apex, and a wide range of Salesforce CRM customization and integration projects. You will be responsible for delivering high-quality, scalable Salesforce solutions that meet business objectives. Key Responsibilities: Design, develop, and deploy custom Salesforce solutions using Apex, Visualforce, Lightning Web Components, and Salesforce APIs. Create and maintain technical design documents based on business requirements. Collaborate with cross-functional teams including architecture, platform engineering, implementation partners, and third-party vendors. Follow Salesforce development best practices for integration, code quality, and scalability. Ensure on-time delivery of tasks with high quality and adherence to coding standards. Develop and manage custom applications, workflows, triggers, flows, and process builders within Salesforce. Identify and recommend solutions to enhance business processes using Salesforce tools. Lead and support release management processes, including change management and code deployment. Continuously research new Salesforce features and capabilities to improve productivity. Required Skills & Qualifications: Minimum 4 years of hands-on experience as a Salesforce Developer. Strong knowledge of Salesforce architecture, APIs, and data models. Expertise in Apex classes, triggers, batch jobs, queueable Apex, and asynchronous processes. Proficiency in Visualforce, Lightning Components, and Lightning Web Components (LWC). Experience with Sales Cloud, Service Cloud, and Community Cloud. Familiarity with Salesforce data tools like Apex Data Loader and third-party integrations. Demonstrated experience in integrating Salesforce with external systems (real-time, batch, sync/async). Solid understanding of relational databases and enterprise integration patterns. Excellent communication skills and ability to interact effectively with both business users and technical teams. Strong analytical and problem-solving skills with keen attention to detail. Preferred Certifications: Salesforce Platform Developer I (PD1) Salesforce Platform Developer II (PD2) Salesforce Sales Cloud Consultant Join a fast-growing tech company with exciting Salesforce projects. Hybrid work environment in Pune (Kalyani Nagar). Work on cutting-edge Salesforce technologies and enterprise-level integrations. Opportunity to grow professionally in a collaborative and supportive environment. Apply Now to take your Salesforce career to the next level with us. Qualification : Bachelors Degree

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni of IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world problems. Over the past 21 years, we've partnered with 180+ startups, primarily in the US, and have helped many achieve successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: What You ll Be Doing: As an ELT Developer, you will: Design, develop, and maintain ELT pipelines using GCP tools such as BigQuery, Dataflow, and Firestore. Optimize data pipelines for performance, scalability, and reliability. Transform raw data into structured formats that are ready for analytics and reporting. Integrate data from various sources into centralized repositories or operational systems. Collaborate with data engineers, analysts, and stakeholders to gather requirements and deliver solutions. Document ELT processes, workflows, and best practices. Monitor and manage ELT jobs to ensure timely data availability. Troubleshoot and resolve issues in data pipelines to maintain data integrity. To Succeed in This Role, You Should Have: Qualification: A Bachelor's degree in Computer Science, Information Technology, or a related field from a top-tier institute (IIT, NIT, BITS, etc.). Experience: At least 3 years of hands-on experience in ELT/ETL development on cloud platforms. Technical Skills: Expertise in GCP services like BigQuery, Firestore, Dataflow, and Pub/Sub. Proficiency in Python for scripting and automation. Strong understanding of data warehousing concepts and data modeling. Experience with SQL for data querying and transformation. Familiarity with NoSQL databases such as Firestore. Knowledge of Apache Beam for building scalable data processing pipelines. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to collaborate effectively with cross-functional teams. Bonus Points If You: Have experience with GCP Cloud Scheduler or other orchestration tools. Hold a Google Professional Data Engineer certification or a similar qualification. Have worked with CI/CD pipelines for deploying ELT workflows. What You ll Find at Talentica: Innovative Culture: We specialize in cutting-edge development, not maintenance work. Our clients come to us for our technological expertise and innovation. Endless Learning Opportunities: You'll have ample opportunities to grow, learn, and stay up to date with the latest trends in technology. Talented Peers: Work alongside talented individuals from India s top engineering colleges (IITs, NITs, and others). Work-Life Balance: We understand the importance of work-life balance and offer flexible schedules and remote work options. Great Culture: 82% of our employees recommend Talentica to their friends (according to Glassdoor). Join us, and you'll see why! Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. If you're excited to work with a team of talented professionals and take your career to the next level, we d love to hear from you. Ready to take the next step? Fill out the form below, and we'll be in touch soon! About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni of IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world problems. Over the past 21 years, we've partnered with 180+ startups, primarily in the US, and have helped many achieve successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: What You ll Be Doing: As an ELT Developer, you will: Design, develop, and maintain ELT pipelines using GCP tools such as BigQuery, Dataflow, and Firestore. Optimize data pipelines for performance, scalability, and reliability. Transform raw data into structured formats that are ready for analytics and reporting. Integrate data from various sources into centralized repositories or operational systems. Collaborate with data engineers, analysts, and stakeholders to gather requirements and deliver solutions. Document ELT processes, workflows, and best practices. Monitor and manage ELT jobs to ensure timely data availability. Troubleshoot and resolve issues in data pipelines to maintain data integrity. To Succeed in This Role, You Should Have: Qualification: A Bachelor's degree in Computer Science, Information Technology, or a related field from a top-tier institute (IIT, NIT, BITS, etc.). Experience: At least 3 years of hands-on experience in ELT/ETL development on cloud platforms. Technical Skills: Expertise in GCP services like BigQuery, Firestore, Dataflow, and Pub/Sub. Proficiency in Python for scripting and automation. Strong understanding of data warehousing concepts and data modeling. Experience with SQL for data querying and transformation. Familiarity with NoSQL databases such as Firestore. Knowledge of Apache Beam for building scalable data processing pipelines. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to collaborate effectively with cross-functional teams. Bonus Points If You: Have experience with GCP Cloud Scheduler or other orchestration tools. Hold a Google Professional Data Engineer certification or a similar qualification. Have worked with CI/CD pipelines for deploying ELT workflows. What You ll Find at Talentica: Innovative Culture: We specialize in cutting-edge development, not maintenance work. Our clients come to us for our technological expertise and innovation. Endless Learning Opportunities: You'll have ample opportunities to grow, learn, and stay up to date with the latest trends in technology. Talented Peers: Work along...

Transform Healthcare with Data: Join Cencora as a Data Engineer II At Cencora, our team members are at the heart of everything we do. We are on a mission to create healthier futures, and every individual here plays a crucial role in fulfilling that purpose. We believe in making a difference at the intersection of healthcare, technology, and innovation. If you're ready to shape the future of health and help improve lives globally, Cencora is the place for you. We are looking for a Data Engineer II to join our dynamic team. This role is pivotal in delivering accurate and reliable data to support our Legal and Compliance departments, with a direct impact on driving data-driven decisions that improve operational efficiencies and support strategic business goals. What You ll Do: As a Data Engineer II, you will be responsible for transforming raw data into actionable insights and building solutions that enhance business operations. Your role will span across multiple platforms, using SQL, SAP BusinessObjects, and a variety of other tools, to ensure that our data remains accurate, accessible, and consistent. Enhance Analytics Solutions: Lead the design and implementation of enhancements to business analytics solutions that align with evolving business needs. You ll turn complex business challenges into accessible data access requirements. Data Mining & Analysis: Perform data mining on vast datasets to uncover growth opportunities in sales, margin, and market share. Analyze pricing activities, including discounts, allowances, programs, and contract pricing, to drive profitability. Data Quality Assurance: Validate, cleanse, and aggregate data, ensuring its accuracy and integrity. You ll identify and resolve data inaccuracies, improving the overall quality of enterprise data. Collaboration & Problem-Solving: Work cross-functionally with teams like Inside Sales, Finance, and Sourcing to develop performance forecasts, projections, and plans based on data assumptions and variables. Automated Solutions: Identify opportunities for automated solutions to enhance data quality and efficiency across the enterprise. Report Development: Collaborate with internal stakeholders to define reporting deliverables, ensuring that data is appropriately named, structured, and ready for decision-making. Data Integrity & Monitoring: Monitor and update data changes on a mass scale using tools, ensuring the highest level of data integrity is maintained. What You Bring to the Table: Experience: You have 4+ years of direct experience in healthcare data analytics or data engineering. You know your way around large datasets and understand how to unlock insights that drive business decisions. Technical Expertise: Proficient in SAP and BusinessObjects, with an extensive background in Business Intelligence and SQL. Strong understanding of the wholesale distribution process, including purchases, sales, payments, and supplier rebates. Knowledge of pharmaceutical wholesale processes and chargebacks to wholesalers is a plus. Familiar with data visualization tools like Power BI or Tableau. Analytical Mindset: You re a critical thinker with an eye for detail, always ready to dive into data to uncover trends, identify issues, and solve problems. Mentorship: You bring leadership experience, with a knack for mentoring and guiding team members. Communication Skills: Your ability to communicate complex data insights to non-technical stakeholders is top-notch. You can explain trends and patterns with clarity and confidence. Bonus Points: Familiarity with Microsoft Power BI, Tableau, or other data visualization tools. Experience with Big Data analysis tools and techniques. Background in data governance and data management. What You ll Get from Us: Meaningful Work: At Cencora, your work directly impacts the future of healthcare. Your expertise in data will help us make strategic, data-driven decisions that improve lives globally. Growth Opportunities: We invest in our team members' growth through mentorship, professional development, and the chance to shape the future of healthcare technology. Collaborative Environment: Work alongside innovative professionals in a culture that values diverse perspectives and fosters collaboration. Comprehensive Benefits: We offer a range of benefits designed to support you in every aspect of life health, wellness, work-life balance, and more. Join Cencora Today! If you re ready to leverage your data engineering expertise to drive meaningful change, we d love to hear from you! Apply now to become part of a purpose-driven company at the forefront of innovation in the healthcare sector. Cencora is committed to building a healthier future, and we want you on this journey with us.

Job Title: L2 Infrastructure Engineer Linux Patching (3 Positions) Location: Pune Shift: 24/7 About the Role: As an L2 Infrastructure Engineer Linux Patching, you will be responsible for coordinating, deploying, and troubleshooting patches for Linux servers in a large-scale enterprise environment. You will work with RedHat, SLES, CentOS, and Ubuntu, ensuring security compliance and best practices in vulnerability management. Key Responsibilities: Linux Patching & Vulnerability Management: Coordinate, deploy, and troubleshoot Linux patches for RedHat, SLES, CentOS, and Ubuntu servers. Apply vulnerability management best practices and prioritize patch deployments using CVE scoring. Utilize Ansible AWX for automation and configuration management of patching procedures. Provide insights for improving scanning processes based on vulnerability scanner data. Ensure minimal business disruption by coordinating patch deployments with cross-functional teams. Troubleshoot patching failures and provide technical guidance to fellow engineers. Automation & Infrastructure Support: Develop Python scripts for automating patch management processes. Support cloud infrastructure on the Azure platform. Manage and configure virtual servers in an enterprise environment. Work within an enterprise ticketing system (e.g., ServiceNow) to track incidents, requests, and changes. Process & Compliance: Ensure adherence to change management and ITIL best practices. Maintain detailed documentation of patching activities and procedures. Required Skills & Experience: Must-Have: 5-8 years of experience as a Linux Support Engineer or similar role. Expertise in Linux patching and troubleshooting vulnerabilities. Hands-on experience with Ansible AWX, Ansible, Chef, or Puppet for automation. Knowledge of CVE scoring and vulnerability management best practices. Strong understanding of RedHat, SLES, CentOS, and Ubuntu operating systems. Experience managing cloud infrastructure on Azure. Excellent communication skills and ability to handle multiple tasks efficiently. Good-to-Have: Experience with Python scripting for automation. Familiarity with ServiceNow or similar enterprise ticketing systems. Relevant Linux administration certifications (e.g., RHCSA, RHCE, LPIC). At our organization, we value innovation, collaboration, and technical excellence. We offer: A challenging and dynamic environment with opportunities to work on enterprise-scale infrastructure. Exposure to cutting-edge automation and cloud technologies. A supportive team and culture that promotes continuous learning and professional growth. Apply Now if you're a skilled Linux Engineer passionate about automation, security, and enterprise infrastructure!

Job Summary: We are looking for an Engineering Systems Support Manager to oversee the installation, support, and improvement of engineering software and systems. The ideal candidate will have a strong background in providing technical support, managing system changes, and ensuring the effective operation of engineering tools. This role combines managerial responsibilities with hands-on technical expertise in supporting and improving engineering software. Managerial Responsibilities (30%): 1. Software Installation & Licensing: Assist with the installation and troubleshooting of engineering software and resolve any licensing or access control issues. 2. Helpdesk Support: Resolve helpdesk tickets and provide customer support for installations, training, and ongoing application support for assigned products. 3. System Changes & Implementations: Support major system changes, including new hardware and software implementations, ensuring smooth transitions and minimal disruption. 4. Engineering Systems Development: Coordinate engineering systems development by managing planning, scheduling, ordering, and tracking related tasks. 5. Improvement Projects: Participate in improvement projects and conduct team audits, taking corrective actions when necessary to ensure process and product quality. General Professional Practice (GPP) Responsibilities (70%): 1. Technical Support: Maintain a mid-level understanding of Windows or UNIX operating systems and interfaces to provide effective support for engineering tools. 2. Cross-functional Reviews: Participate in cross-functional reviews, collecting data and metrics using tools like Six Sigma to identify areas for improvement. 3. Process Improvement Tools: Track processes, monitor system performance, and utilize tracking systems and other improvement tools to identify areas of improvement. 4. Corrective Actions: Implement corrective actions based on problem reports and change requests, ensuring that software products meet high-quality standards. 5. Customer & Supplier Interface: Serve as the point of contact between customers, suppliers, engineers, and other functions to ensure smooth operations and communication. 6. Documentation & Reporting: Document tasks and report progress on systems and tools such as CGT Windchill, CREO, and AutoCAD. Create assemblies and drawings in CREO, ensuring adherence to GD&T standards and product knowledge. Competencies & Skills: Engineering Software Application: Ability to support and certify engineering software to enable efficiency for engineering users. Customer Focus: Build and maintain strong customer relationships, delivering customer-centric solutions. Collaboration: Effectively work with cross-functional teams to achieve shared objectives. Problem-Solving: Take corrective actions based on problem reports and change requests to improve system quality. Communication Skills: Develop and deliver communications that are clear and tailored to different audiences. Interpersonal Savvy: Relate comfortably with diverse groups and build strong relationships both within and outside the organization. Trust & Integrity: Gain the confidence and trust of others through honesty and authenticity. Values Differences: Recognize and appreciate diverse perspectives within the organization. Qualifications: Education: High school diploma or equivalent required. A two-year associate s degree or relevant certification from an accredited institution in a STEM field is preferred. Experience: Intermediate-level work experience in engineering systems support or related roles, gained through education, training, or hands-on experience. Experience in managing engineering software, providing helpdesk support, and implementing systems changes is a plus. Licensing Requirements: May require licensing for compliance with export controls or sanctions regulations. Benefits: Competitive salary and benefits package. Opportunity for professional growth and career advancement. Supportive, collaborative work environment. Flexible working hours and work-life balance initiatives. This role provides a unique opportunity to combine technical expertise with managerial responsibilities in a dynamic engineering environment. Apply today to be part of a team focused on innovation and continuous improvement!

We need a good Cobol developer with mandatory experience in Payment domain. Strong experience in Unix/Linux, shell scripting, Batch, DB, and payment domain / functional payment. To analyze and identify client/project requirements. Develop efficient code, compliant with all security standards. Test, Debug and Review peer and other team members code. Ensure timely completion of developmental activities, with proper unit testing results. Work closely with QA teams and project teams to ensure the functional goals of the project are met. Keep up with the changes in modern technology, learn new frameworks and tools, and also create an environment where the same can be passed on to other teammates. Learn new software tools and skills as needed. Keep up with technologies. Provide mentoring to other development staff on technical topics. Support and maintain applications utilizing required tools and technologies. Ensure applications are scalable and operate efficiently in the production environment. Ability to research issues across multiple key systems and databases. Assist customers and team members with issue resolution and problem-solving. Participate in an on-call rotation to provide system support outside of normal working hours. Comfortable working in an open, dynamic, rapidly changing environment where collaboration is crucial. Extended hours may be required during peak workloads or special projects. Must be self-motivated and take initiative. Qualification : Bachelor or Masters in Computer Science/ IT or Computer Applications

Job Description Senior Specialist, Manufacturing Automation The Manufacturing Execution System (MES) Senior Specialist acts as a subject matter expert for PAS-X MES focusing on electronic batch records design. The primary responsibility is to ensure that the deployment of the Werum/Korber PAS-X electronic Master Batch Records are successfully and compliantly designed, developed, deployed, and supported to maximize business benefits and are in line with site business process and technical standards. The MES Senior Specialist will also be responsible for updating the Master batch records for MES integrations DCS, SAP, LIMS etc. The Senior Specialist will be supporting MES implementations, product trainings, standards development, technical development of PAS-X specialist team in India. The Sr. Specialist is responsible for following standard processes and procedures in performing their duties. These include cGMP regulations, SOPs and global business processes. The MES Sr. Specialist is responsible for activities that include the following: Identifies and implements continuous process improvement opportunities. Sustainelectronic Master Batch Records, bringing together knowledge of manufacturing processes, and standard Werum/Korber generic master batch record (GMBR) configuration. Executes the appropriate change control and electronic Master Batch Record life-cycle actions and processes to assure the MES system is in a state of control and compliance. Collaborates and assists with troubleshooting to efficiently resolve manufacturing problems, providing MES support to ongoing Electronic Batch Record (EBR) operations. Knowledge of Quality Systems and Regulatory Standards to provide assurance and foster quality decisions with project teams and their site Quality unit. Work directly with Manufacturing sites point of contacts to understand the requirements related to MBR/GMBRs and implements them following the SOPs and Life cycle procedures using electronic validation softwares like eVal (Kneat Validation Software). Manages the GMBR design needs for group of sites from a region NA, EU etc. using demand and talent planning skills. Education Minimum Requirement: Bachelor s Degree and 8+ years of MES (PAS-X) experience or 12+ years of relevant MES experience Required Experience and Skills: Direct experience with MES (PAS-X) with strong experience in MBR, GMBR design, Integrations (SAP and L2 Systems with PAS-X) . Proven track record of analytical skills, problem solving and attention to detail. Demand and Talent Planning experience while implementing MES projects, tasks. High personal integrity, credibility, and energy Excellent communication and influencing skills. Strong written and verbal communication skills Minimum five (5) years of experience in a production regulated industry. Strong understanding of manufacturing principles/processes (preferably Biologics) and ability to translate manufacturing requirements into Automation/Digital Solution Preferred Experience and Skills: Knowledge of SAP Knowledge of L2 Systems (Aveva PI Historian, SCADA, DeltaV DCS) integration with PAS-X MES Qualification : Bachelors Degree and 8+ years of MES (PAS-X) experience or 12+ years of relevant MES experience

Job Title: Security Engineer Location: Pune We are looking for a skilled Security Engineer to join our Cloud Infrastructure & Security team. In this role, you will be responsible for managing and securing all aspects of e-commerce product security and compliance within the AWS cloud environment. The ideal candidate will have a strong background in application and infrastructure security, vulnerability assessment, penetration testing, and a proven track record of participating in security audits. Key Responsibilities: Lead and participate in security audits across multiple environments, including web security, application security, mobile app security, network security, and IT infrastructure security. Conduct thorough Vulnerability Assessments and Penetration Testing (VAPT) to identify and mitigate potential risks in applications, AWS resources, configurations, and IT infrastructure. Collaborate with cross-functional teams to ensure the security of the e-commerce products, proactively identifying gaps in security and implementing the necessary controls. Prepare detailed VAPT reports using predefined templates and assist in finalizing audit reports for management. Coordinate with relevant teams to ensure timely resolution of identified security issues. Create and maintain security checklists, test cases, and test scenarios to facilitate security audits and penetration tests. Implement industry-standard security controls for AWS resources, including vulnerability management and configuration hardening. Perform penetration tests on computer systems, networks, and applications, identifying weaknesses and recommending solutions. Conduct physical security assessments of systems, servers, and network devices, focusing on firewall maintenance, network security, and other critical infrastructure components. Provide regular updates to management regarding security findings, vulnerabilities, and remediation plans. Review and offer actionable feedback on information security issues, collaborating with engineering teams to ensure timely fixes. Drive improvements in security services, including hardware, software, policies, and procedures. Identify areas for enhancing security education and awareness among internal users. Stay current with the latest malware and security threats, ensuring that the security strategy is responsive to new challenges. Manage and monitor security operations with AWS, XDR/EDR, Microsoft O365 security, and SaaS-based applications. Desired Skills & Experience: 5+ years of experience in AWS application and infrastructure security, Vulnerability Assessment, and Penetration Testing. At least 2 security audits completed, with at least one audit performed in the past 12 months. Solid experience working in heterogeneous environments and specifically with AWS Cloud. Product-based company experience is a plus. Hands-on expertise with VAPT using industry-standard tools such as Qualys, Nessus, WebInspect, Acunetix, Metasploit, Burp Suite Pro, Netsparker, etc. Strong experience with Linux administration and security (hardening servers according to industry best practices). Familiarity with OWASP security requirements and experience implementing them across applications and infrastructure. Proficiency in penetration testing on web and mobile applications, cloud environments, and network infrastructures. AWS Security experience is mandatory. Experience with XDR/EDR, Microsoft O365 security, and SaaS security is highly desirable. Strong analytical skills and the ability to identify vulnerabilities and risks across platforms. Certifications: CCNA, CompTIA+, or similar; AWS Security Specialty or similar certifications are preferred. Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical teams. Strong organizational skills and the ability to prioritize tasks effectively. Ability to work with a product-ownership mindset while maintaining security across all systems and applications. What We Offer: Competitive salary and benefits. A dynamic and collaborative work environment where innovation and security are top priorities. Opportunities for continuous learning and career growth in the field of cloud and cybersecurity. If you have a passion for security, experience with AWS, and want to be part of a growing team protecting critical infrastructure, apply today!

Job Title: Senior AWS Data Engineer Experience: 5+ years Location: Kharadi, Pune Role & Responsibilities Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services such as AWS Glue, Lambda, and Step Functions. Implement and maintain data lakes and data warehouses on AWS platforms including S3, Redshift, and Athena. Develop and manage both real-time and batch data processing solutions. Ensure data security, governance, and compliance following industry best practices. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable, data-driven solutions. Optimize query performance and troubleshoot data issues proactively. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Implement monitoring, logging, and alerting frameworks using AWS CloudWatch, Prometheus, or equivalent tools. Mentor junior engineers and actively contribute to data engineering best practices and standards. Required Skills & Qualifications 5+ years of experience in data engineering, with at least 3 years focused on AWS cloud services. Strong hands-on experience with AWS services including Glue, Redshift, S3, Lambda, EMR, and Athena. Proficient in SQL, Python, and Spark for data processing and analytics. Experience designing and implementing ETL/ELT pipelines. Familiarity with DevOps practices, CI/CD pipelines, and automation tools such as Terraform, CloudFormation, and Jenkins. Deep understanding of data governance, security protocols, and compliance frameworks. Experience with real-time data streaming and processing technologies such as Kafka, Kinesis, or similar tools. Knowledge of database optimization techniques including indexing and partitioning.

About HSBC If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you're aiming to rise to the top or take your career in a new direction, HSBC offers opportunities, support, and rewards that will take you further. As one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories, HSBC is focused on enabling businesses to thrive, economies to prosper, and ultimately, helping people fulfill their hopes and ambitions. The Role We are seeking an experienced Consultant Specialist to join our team and play a key role in API support, troubleshooting, and ensuring the high performance and scalability of our API services. In this position, you will work closely with the cloud infrastructure team, DevOps teams, and developers to ensure smooth deployment and optimal performance of our APIs. Responsibilities API Support & Troubleshooting: Provide technical support for API services, ensuring availability, performance, and scalability. Troubleshoot and resolve API-related issues to ensure minimal disruption to services. Monitoring & Performance Analysis: Use tools like AppDynamics, Splunk, and other monitoring platforms to analyze and monitor API performance, identify bottlenecks, and suggest improvements or optimizations. Cloud Infrastructure Support: Collaborate with the cloud infrastructure team to ensure APIs are deployed and running efficiently in cloud environments such as AWS, Google Cloud, or Azure. DevOps Integration: Work with DevOps teams to automate API deployment processes using CI/CD tools like Jenkins, GitLab, or Bamboo, ensuring smooth transitions from development to production. Log Management & Analysis: Leverage Splunk for log management, creating dashboards, and analyzing log data patterns in real time to identify and resolve issues quickly. Collaboration with Development Teams: Work closely with software developers to understand API designs and optimize backend services, ensuring alignment with business requirements. Incident Management: Lead the incident management process for API-related issues, ensuring quick resolution and minimal downtime. Participate in on-call rotations to provide 24/7 support for critical systems. Requirements To be successful in this role, you should meet the following requirements: 10 to 12 years of experience in API support or backend development, with strong expertise in Spring Framework. Strong experience with cloud technologies (AWS, Azure, GCP), especially with API hosting and scaling in a cloud environment. Proficiency in using AppDynamics for performance monitoring, troubleshooting, and issue resolution. Hands-on experience with Splunk for log management, dashboard creation, and real-time issue analysis. Familiarity with DevOps tools such as Jenkins, GitLab, Docker, and Kubernetes for efficient deployment processes. Experience working with RESTful APIs, microservices architecture, and related technologies. Excellent troubleshooting skills to resolve complex API and integration issues. Solid understanding of networking, security, and authentication/authorization for APIs (OAuth, JWT, etc.). Experience with containerization and orchestration tools such as Docker and Kubernetes. Familiarity with additional monitoring and alerting tools like Datadog or Grafana. Global presence: Work in a world-leading organization with a diverse international team. Career growth: HSBC provides ample opportunities for professional development and career progression. Innovative work environment: Work on cutting-edge technologies in a fast-paced, dynamic environment. Join HSBC and achieve more in your career. Qualification : Proficiency in using AppDynamics for performance monitoring and issue resolution.

Senior Windows Developer Location: Pune, India Experience: 5 12 years Job Type: Full-Time About the Role This is a key technical role focused on the development of Windows desktop applications with device management capabilities. You will work on client-side applications including Windows agents, remote IT support tools, and more, helping to build high-performance, cloud-integrated endpoint solutions. Key Responsibilities Develop and maintain native Windows applications with C++/C#. Build and enhance Windows agents for device management, software deployment, and remote script execution. Work on client-server communication systems leveraging REST APIs and local SQL-based storage. Support development of tools to assist IT administrators in remote diagnostics and desktop support. Write clean, modular, and well-documented code with ongoing improvements. Contribute both as an individual contributor and a collaborative team member. Required Skills & Experience Strong programming experience with C++ and C# for native Win32 application development. Expertise in Win32 APIs, asynchronous, and parallel programming. Experience building client-server applications, with REST API integration. Proficiency in Windows OS internals, including: Registry, Services File system and Shell Explorer PowerShell scripting UAC (User Account Control) Familiar with SQL for local application storage. Hands-on with MSI packaging and Windows installer frameworks. Understanding of Windows OS patch management and its lifecycle. Preferred/Bonus Skills Experience with .NET Core and Azure Push Notifications. Familiarity with WebRTC, desktop sharing, or remote control protocols. Exposure to DevOps for Windows environments and automated build tools.

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Summary / Role Purpose The DevOps Engineer supports the development of software products, processes, and supporting systems. In this role, the DevOps Engineer will collaborate with a team of expert professionals to accomplish development objectives and oversee software releases. Key Duties and Responsibilities Responsible for managing and implementing all phases of build, release, and environment management for a distributed team developing engineering software. Deploys, maintains, and supports current software development environments (e.g., Visual Studio, Compilers, IDEs, MPI, etc.). Performs basic DevOps activities, including maintenance, monitoring, documenting, and testing of product builds and packaging to provide quality production builds of ANSYS FBU software products on Windows and Linux systems. Maintains and enhances the in-house testing tool and test results database. Maintains and updates third-party dependencies as needed. Troubleshoots and resolves issues in development, testing, and production environments. Works closely with development to adjust builds and packaging to changing requirements. Automates build processes and integrates with Continuous Integration systems like Azure DevOps. Prepares, configures, deploys, and maintains build agents. Investigates and addresses build and runtime failures; fixes compilation and linker errors. Works in a collaborative manner with members of the software development, infrastructure, and testing teams. Works with IT to maintain DevOps infrastructure. Operates under direct supervision with work subject to frequent review by more experienced staff or the DevOps Manager. Performs other job-related duties that may be assigned by management from time to time. Minimum Education/Certification Requirements and Experience BS in Engineering, Computer Science, or a related field. Preferred Qualifications and Skills MS degree or foreign equivalent in Engineering, Computer Science, or a related field, or 1-3 years of related experience. Experience building software (C/C++/Fortran) on Linux and Windows operating systems. Strong scripting skills (Python, Linux shell scripting, Windows batch scripting, and Perl). Experience with Makefiles/Scons/CMake is preferred. Knowledge of MySQL and PostgreSQL. Strong knowledge of Windows and Linux operating systems is preferred. Experience with a continuous integration system like Azure DevOps or GitHub. Experience with YAML and JSON programming languages. Knowledge of Visual Studio, Intel, and GCC compilers. Experience with a configuration management software like GIT. Familiarity with C/C++ and Fortran programming. Experience working with open-source tools. Solid troubleshooting and problem-solving skills. Ability to plan and complete high-quality work on a schedule. Good communication and interpersonal skills. Ability to learn quickly and collaborate with others in a geographically distributed team.

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field