Senior BI Data Engineer Jobs in Pune

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

Job Title: Senior Advanced Technical Services Engineer Location: Pune Experience: 5+ Years Company: TraceLink Department: Advanced Technical Services Company Overview: At TraceLink, we are transforming the global pharmaceutical supply chain to protect patients and ensure the availability of safe medicines worldwide. Our Opus Platform and innovative software solutions empower pharmaceutical companies to digitize operations, improve visibility, ensure compliance, and collaborate more effectively across complex global networks. Founded in 2009, TraceLink operates in 8 global offices, with 800+ employees, and serves 1,300+ customers across 60+ countries. Recognized by Gartner, IDC, and Comparably, we are proud to be a trusted industry leader and a great place to work. Position Overview: We are looking for an experienced and highly skilled Senior Advanced Technical Services Engineer to join our Pune-based team. As a senior member of the Advanced Technical Services team, you will lead technical issue resolution efforts, support internal tooling and data repair processes, and act as a technical mentor to the broader Technical Support organization. This role combines strong technical proficiency, problem-solving ability, and excellent interpersonal communication, playing a key role in enhancing customer satisfaction and internal team capabilities. Key Responsibilities: Resolve complex technical issues by working directly with TraceLink products and collaborating with internal teams to create custom solutions or internal tools Serve as a technical mentor and advisor to Technical Support Engineers Lead the triage, prioritization, and execution of customer data repair requests Create, maintain, and support scripts and tooling to enhance team productivity Act as a recognized Subject Matter Expert (SME) for 3 4 core TraceLink applications Document technical processes and deliver training to internal support teams Advocate for customer needs by collaborating with Product, Engineering, and other cross-functional teams to drive product improvements Analyze and troubleshoot application logs, errors, and complex integrations Skills and Competencies: Proficient in XML, JSON, CSV reading, parsing, and manipulation Working knowledge of scripting languages such as Perl, Python, Shell scripting Strong debugging and log analysis skills Ability to propose and evaluate multiple solutions to technical problems Understanding of B2B integration technologies such as AS2, SFTP, Web Services Extensive experience with tools including Microsoft Office, Google Workspace, Salesforce, Slack, and collaboration platforms Excellent verbal and written communication skills; strong documentation practices Highly self-motivated, with proven time management and project coordination skills Experience in mentoring, coaching, and cross-functional collaboration Proven ability to lead team efforts and resolve high-impact customer issues Strategic thinker who contributes to the continuous improvement of support processes Essential Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (or equivalent experience) Minimum 5+ years of experience in a technical customer-facing role, preferably within SaaS or enterprise software companies Strong understanding of UNIX/Linux environments and Java-based applications Working knowledge of ERP systems Fluent in written and spoken English (additional languages a plus depending on region) What You'll Gain: Opportunity to work on mission-critical systems that impact global patient safety Collaborate with a global team in a dynamic, high-growth company Mentorship opportunities and career development in advanced technical roles Work in an environment that values innovation, ownership, and teamwork If you're passionate about solving complex technical challenges, mentoring others, and making a meaningful impact in the life sciences sector, we invite you to join us at TraceLink. Qualification : Bachelors degree in Computer Science, Information Technology, or related field (or equivalent experience)

Position: Senior Analyst TReC Costing Location: Pune, India Company: FORVIA (Faurecia Interior Systems) About FORVIA FORVIA is a global leader in automotive technology, focused on delivering innovative and sustainable mobility solutions. As the 7th largest global automotive supplier, we are shaping the future of mobility with over 157,000 employees in 43 countries. Your Mission As a Senior TReC Costing Analyst, you will be responsible for calculating and managing tooling reference costs for FORVIA Interior Systems programs. You will play a key role throughout the acquisition and development phases, working closely with cross-functional teams to ensure accurate, competitive, and optimized tooling cost estimations aligned with our program and business goals. Key Responsibilities Acquisition Phase Define the complete tooling package (in-house, bought-out parts, and assembly tools) per Program Management System (PMS) guidelines. Analyze the Bill of Materials (BOM) and process flow charts to build a detailed tooling list. Develop tooling concepts using CAD models, 2D drawings, and technical visuals (e.g., tool movements, inserts, cavities). Estimate tooling costs in alignment with the Tool & Equipment (T&E) strategy. Apply defined tooling margins and create pricing summaries in customer-specific (OEM) templates. Present and distribute cost breakdowns to internal stakeholders (Program Managers, T&E Buyers, etc.). Update and refine cost estimates across acquisition rounds, collaborating with Customer Business Units (CBUs). Contribute ideas to enhance FORVIA's competitiveness in project quotations. Development Phase Support Engineering and T&E Buyers with cost estimates for Engineering Change Requests (ECRs). During tooling RFQ (Request for Quotation) phases, calculate target costs based on part designs, technical specifications (IDS), and T&E strategies. Compare supplier cost breakdowns with TReC estimates during SNC (Supplier Nomination Committee) phases. Analyze gaps and provide justification or negotiation support to the Purchasing team. Maintain costing data for traceability and knowledge sharing post-nomination. Support tooling cost targets for engineering or program design changes. Cross-functional Collaboration Work closely with: CBU Cost Analysts (for both in-house and BOP parts), Central Costing Teams (to evolve TReC methodology), Global teams to ensure cost competitiveness and process alignment. Contribute to continuous improvement within the costing function by proposing innovative ideas and solutions. Your Profile Education & Experience Bachelor s or Master s degree in Engineering, or Diploma in Tool & Die Design. 6 10 years of experience in industrial environments, including exposure to production, tooling, or manufacturing engineering. Technical Skills Deep understanding of Injection Molding tools, post-processing tools (e.g., plastic welding, gauges, covering), and assembly processes. Familiarity with interior automotive components such as instrument panels, door panels, and center consoles. Knowledge of various supplier technologies is an advantage. Proficiency in interpreting CAD data and 2D technical drawings. Soft Skills Strong communication, analytical, and problem-solving abilities. Ability to synthesize complex technical data into actionable insights. Comfortable working cross-functionally and across international teams. Fluent in English (mandatory); basic knowledge of French or German is a plus. Global Impact: Work with a top-tier automotive supplier on industry-defining technologies. Innovation & Growth: Collaborate on high-impact projects and develop your career in a dynamic, global environment. Learning Culture: Access cutting-edge training through FORVIA University. Sustainability Leadership: Join a company committed to CO2 Net Zero and certified under the SBTi Net-Zero Standard. Inclusive Workplace: Thrive in a diverse, multicultural team that values collaboration and continuous improvement. Qualification : Bachelors or Masters degree in Engineering, or Diploma in Tool & Die Design

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

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

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.

Senior Python Engineer (Cloud & Backend) Pune, Maharashtra | 8 12 Years Experience | Full-time | Tech Stack: Python, AWS, FastAPI, Docker, Kubernetes, PostgreSQL, MongoDB We re hunting for a backend boss who lives and breathes Python and knows how to scale systems like a pro. If you re into building high-performance microservices, playing with cloud infra, and turning chaos into clean code let s talk. What you ll be doing: Design and build Python-based microservices for data ingestion, processing, and querying Craft clean, scalable REST APIs and data models Write unit tests that don t break when someone sneezes Work hand-in-hand with cross-functional teams to ship solid software on time, every time Optimize performance, reliability, and scalability like a true backend engineer Contribute to smart CI/CD pipelines and continuous improvement What you bring: 8 12 years of solid backend dev experience Strong Python skills, especially with Asyncio and FastAPI Deep experience with AWS, REST, and cloud-native architecture Fluent in PostgreSQL & MongoDB Comfortable with Docker, Kubernetes, and identity protocols (SSO, SAML) Familiar with CI/CD, testing frameworks, and performance tuning Bonus if you're curious about GenAI, vector databases, or ML We re not just tech nerds we re transformation partners. At Opcito, you ll get the chance to work on real impact projects using the best tools and practices out there (hello, DevOps, cloud-native, containers, and serverless). Perks & Culture: Growth-first mindset + learning budgets Pay that matches your skill & experience A friendly, no-BS, collaborative team Flexible schedules we trust you to get it done Social & corporate events you ll actually enjoy Recognition game strong: Great Place to Work (2021 24) Top 50 IT Workplaces India Best for Millennials 2023 GPTW ISO/IEC 27001:2013 Certified Top Developers India Clutch Hit Apply and let's build cool stuff together.

Job Title: Senior Staff Software Engineer (Foundation) Company: Druva Location: Pune, India About Druva: Druva empowers organizations with cyber, data, and operational resilience through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Our platform simplifies data protection, streamlines governance, and provides unparalleled data visibility and insights, enabling customers to accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure and management costs by delivering data resilience through a single platform spanning multiple geographies and cloud environments. About the Role: The Foundation team at Druva designs and develops a highly scalable, petabyte-scale distributed cloud file system built on AWS. This service-oriented system handles critical features such as file system metadata management, versioning, and eventual consistency using AWS services like S3, DynamoDB, and Kinesis. Beyond the core file storage engine which supports backup storage for all Druva products the team builds and maintains allied components like indexing engines, key-value stores, and big data pipelines to enable scalable search, analytics, and compliance capabilities. As a Senior Staff Software Engineer, you will collaborate closely with cross-functional teams, architects, and DevOps to define high-level and low-level designs (HLD/LLD) for advanced data security and management services. You will stay abreast of emerging trends in data security, platforms, technologies, and APIs, applying these insights to enhance existing features and develop new capabilities. You will also mentor and guide junior engineers, fostering a culture of high-quality, high-velocity software development. Key Skills & Experience: 5 to 7 years of experience building enterprise-grade software products. Expertise in designing and implementing SaaS solutions at scale. Proficiency in Python or Golang for software development. Deep knowledge and hands-on experience with cloud storage and data management systems. Proven experience building storage systems focused on securing and protecting data at scale, including managing data and metadata. Prior experience working on data protection products is highly desirable. Familiarity with cloud platforms such as AWS and Azure is a plus. Strong hands-on developer with excellent communication and collaboration skills. Ability to influence architecture, design, and implementation for timely delivery of business outcomes. Desirable: Strong written and verbal communication skills. Experience with Agile methodologies (Scrum). In-depth knowledge of AWS cloud technologies. Responsibilities: Collaborate with architects, developers, and DevOps to define HLD and LLD for data security and management services and features. Monitor and evaluate emerging trends in data security, management platforms, technologies, and APIs to refine and develop features. Lead the integration of data management tools and applications to enhance product quality and user experience. Promote best practices and principles of high-quality SaaS software development. Mentor and train junior engineers on data management, security principles, and agile development methodologies. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (Advanced degree preferred). Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field (Advanced degree preferred).

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.

Job Title: Senior Azure Data Engineer Experience: 8 - 10 years Location: Kharadi, Pune Role & Responsibilities Design, develop, and maintain scalable, high-performance data pipelines using Azure Data Services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Build and optimize data models, ETL/ELT processes, and data integration workflows to support analytics and BI needs. Develop and manage data lakes, data warehouses, and real-time streaming solutions on Azure. Collaborate with data analysts, scientists, and software engineers to ensure smooth data integration and processing. Ensure data security, governance, and compliance following industry best practices and regulations. Monitor and troubleshoot data pipelines, focusing on performance and reliability enhancements. Automate data workflows and infrastructure using DevOps and CI/CD methodologies. Work closely with stakeholders to translate business requirements into robust data solutions. Required Skills & Qualifications 8-10 years of experience in data engineering, with at least 3 years focused on Azure data services. Strong expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure SQL Database. Proficient in SQL, Python, or Scala for data processing and transformation. Experience with Big Data technologies like Spark, Delta Lake, and Parquet. Hands-on experience with ETL/ELT development and orchestration of data pipelines. Knowledge of Azure DevOps, CI/CD pipelines, and Infrastructure as Code tools (Terraform, ARM templates, Bicep). Familiarity with data governance, security best practices, and compliance frameworks. Experience with Power BI, Snowflake, or other BI/analytics tools is a plus.

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.

Senior Software Engineer CPD (SME - Linux/Systems) Location: Pune, India About the Role & Team As a Senior Software Engineer in the Continuous Product Delivery (CPD) team, you will lead a small team and collaborate closely with core engineering, product, and support teams. Your focus will be ensuring long-term stability and enhancing the customer experience for Rubrik s data backup and management products. You will gain deep knowledge of Rubrik s distributed job framework, data lifecycle management, filesystem, and metadata store. The CPD team, working alongside Platform and Systems Engineering, is tasked with developing a secure, scalable, and high-performance software-defined platform to simplify the management of physical and virtual appliances both on-premises and in the cloud. Rubrik values engineers who take ownership, exercise judgment, and are empowered to make critical decisions that drive customer delight. Key Responsibilities Own the full lifecycle of features including design, implementation, and testing. Design and develop infrastructure services for Linux kernel and Ubuntu OS upgrades. Diagnose and resolve complex customer environment issues. Write and maintain code primarily in Python and/or Scala. Troubleshoot complex software problems efficiently. Collaborate cross-functionally to define and deliver new features. Maintain technical documentation and participate in code reviews. Drive continuous process and software quality improvements. Stay current with emerging software development trends. About You BTech/MTech/PhD in Computer Science or related field. 6 10 years of software development experience on Linux, preferably in Platform, Systems, Kernel, or Networking domains. Strong fundamentals in data structures, algorithms, and distributed system design. Deep knowledge of Linux distributions, especially Ubuntu. Strong systems programming skills and expertise in debugging and performance troubleshooting. Experience performing Linux kernel upgrades and kernel debugging. Proficiency in scripting languages and one or more of C++, Java, or Scala. Experience in large distributed systems design is preferred. Familiarity with storage, filesystems, or data protection technologies is a plus. Excellent communication and teamwork skills. About Rubrik Rubrik (NYSE: RBRK) is on a mission to secure the world s data through its Zero Trust Data Security platform. Leveraging machine learning, Rubrik Security Cloud safeguards data across enterprise, cloud, and SaaS applications, ensuring data integrity, availability, and resilience against cyber threats and operational disruptions. Qualification : BTech/MTech/PhD in Computer Science or related field.

Senior Software Engineer Continuous Product Delivery (CPD) Location: Pune, India About the Role & Team As a Senior Software Engineer in the CPD team, you will play a vital role in ensuring long-term stability and exceptional customer experience for Rubrik s on-premise data backup and management platform. You will collaborate closely with core engineering, product, and support teams while gaining deep expertise in Rubrik s distributed job framework, data lifecycle management, filesystem, and metadata store. We are looking for a highly skilled C++ developer with familiarity in Python and/or Scala, capable of developing and maintaining high-performance software applications. You will be empowered to take ownership, exercise sound judgment, and make impactful decisions, fostering a motivated and engaged engineering culture. Key Responsibilities Design, develop, and maintain high-quality software applications and libraries primarily in C++. Write and maintain supporting code in Python and/or Scala as needed. Troubleshoot complex software issues quickly and accurately. Collaborate with cross-functional teams to define, design, and deliver new features. Participate in code reviews, maintain coding standards, and author technical documentation. Drive continuous software quality and process improvements. Stay current with emerging software development trends and technologies. Qualifications & Skills B.Tech/M.Tech with 9 13 years of professional software development experience. Strong programming and troubleshooting skills, especially in C++. Proven ability to debug complex issues and deliver timely fixes. Excellent software design skills with understanding of distributed systems and multi-threading. Knowledge of the storage domain is a plus. Familiarity with operating systems such as Windows. Solid grasp of data structures, algorithms, design patterns, networking protocols, and security concepts. Experience with software development methodologies, tools, and processes. Strong analytical, problem-solving, communication, and teamwork skills. About Rubrik Rubrik (NYSE: RBRK) is on a mission to secure the world s data through its Zero Trust Data Security platform. Powered by machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications helping businesses maintain data integrity, availability, and resilience against cyberattacks and disruptions.

About Talentica Software: Talentica Software is a specialized software development firm founded by industry veterans and IIT Bombay alumni. We excel in helping startups build innovative products by leveraging cutting-edge tools and technologies to solve real-world challenges. Over the past 21 years, we ve collaborated with over 180 startups, primarily in the US, and have contributed to numerous successful exits. In 2022, Talentica Software was recognized by Great Place to Work as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a meticulous and detail-oriented QA Specialist who is passionate about ensuring data quality. You will work closely with our analytics team to design and execute robust QA processes, validate data pipelines, and automate repetitive QA tasks. Your contributions will play a crucial role in delivering accurate, reliable, and high-quality solutions. If you enjoy solving problems, automating processes, and ensuring data integrity, this role is tailor-made for you! What You ll Be Doing: As a QA Specialist, your responsibilities will include: Designing and implementing comprehensive QA processes for data and analytics deliverables. Validating end-to-end data pipelines, including data sources, ETL processes, data extracts, calculations, visualizations, and application interfaces. Conducting functional, regression, performance, and tolerance-range testing across reports and data systems. Simulating end-user interactions to ensure a smooth user experience with analytics outputs. Validating application tracking functionalities, including data collection through app usage. Verifying calculations and metrics in BI tools like Tableau, Power BI, and others. Performing database validation using SQL (Oracle, BigQuery) and NoSQL (MongoDB) systems. Automating recurring QA tasks in the analytics/BI environment where possible. Identifying, documenting, and tracking data quality issues and discrepancies. Collaborating with cross-functional teams including data engineers, BI developers, and product managers to ensure high-quality analytics deliverables. To Succeed in This Role, You Should Have: Qualifications: BE/B.Tech degree from top engineering institutions such as IIT, NIT, BITS, VJTI, or equivalent. Experience: 2+ years of experience in QA, data validation, or analytics testing. Technical Skills: Hands-on experience testing in BI tools environments. Proficiency in SQL, with experience in Oracle and BigQuery (preferred). Familiarity with NoSQL databases like MongoDB (a plus). Experience with regression testing and simulating user interactions in BI tools. Bonus Points If You Have: Knowledge of scripting languages like R or Python. Experience in automation testing in analytics or BI environments. Familiarity with Databricks. Soft Skills: Strong communication skills, with the ability to collaborate effectively across teams. Ability to present complex findings to both technical and non-technical stakeholders. What You ll Find at Talentica: Innovative Culture: We focus exclusively on cutting-edge development, not routine maintenance. Our technological expertise sets us apart. Endless Learning Opportunities: This is a place to grow. You ll have access to constant learning opportunities and stay updated on the latest trends in technology. Talented Peers: Work with brilliant professionals from India s top engineering colleges (IITs, NITs, and more). Work-Life Balance: We value flexibility and offer remote work options and flexible schedules to ensure a healthy work-life balance. Great Culture: 82% of our employees recommend Talentica to their peers (according to Glassdoor). We pride ourselves on our supportive and collaborative work environment. Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. If you re passionate about ensuring data integrity, automating processes, and solving problems in a fast-paced, innovative environment, we d love to hear from you. Qualification : BE/B.Tech from IIT, NIT, BITS, VJTI, or any other top Indian engineering college.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IITB. For over 21 years, we have been helping startups build products using cutting-edge technologies. With a focus on solving real-world problems, we ve worked with over 180+ startups, primarily in the US, leading to numerous 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: We are seeking a Data Engineer to join the product engineering team for a SAAS-based Subscription Management Platform. If you have a passion for working with data and a drive to innovate, we encourage you to apply. What You ll Be Doing: Data Transformation: Use Python and PySpark to transform large datasets and build efficient data pipelines. Pipeline Creation: Work with Kafka and Debezium to create and deploy real-time data pipelines. SQL Expertise: Write and optimize complex SQL queries for data aggregation and transformation. Delta Lake & Databricks: Utilize Delta Lake and Databricks for efficient data storage and management. Collaboration: Work with cross-functional teams to ensure data is accessible, reliable, and well-organized for product teams. To Be Successful in This Role, You Should Have: Qualification: BE/BTech from a top-tier engineering institute. Experience: 5+ years of experience in the data engineering field. Must-Have Skills: Strong proficiency in Python and PySpark for data transformation. Experience with Kafka and Debezium for data pipeline creation and deployment. Excellent SQL skills, especially for complex data aggregation and transformation. Familiarity with Delta Lake and Databricks. A solid understanding of all stages of the SDLC and experience with Agile/SCRUM methodology. Good-to-Have Skills: Understanding of machine learning algorithms. Familiarity with ETL tools like Matillion or Google Data Studio. Experience with creating BI reports using tools like Looker or Tableau. Familiarity with writing APIs to extract data from databases. What You ll Find Here: Culture of Innovation: We focus on technology expertise and innovation, not maintenance projects. Our customers come to us for cutting-edge solutions. Endless Learning Opportunities: Stay ahead of the curve by exploring new advancements in your field and applying them to build better, faster, and simpler products. Talented Peers: Work alongside experienced graduates from India's top 20 engineering colleges, including IITs, NITs, and other top-tier institutes. Flexibility: We value work-life balance and offer flexible schedules, including remote work options. Great Culture: 82% of our employees recommend Talentica to their friends, according to Glassdoor. You'll love being part of our team! At Talentica, we don t just follow trends we lead them. If you re looking for a dynamic, fast-paced environment with opportunities to innovate, grow, and shape the future of technology, Talentica is the place for you. Join us and make a real difference! Qualification : BE/BTech from a top-tier engineering institute.

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 DESCRIPTION Role Sr Network Administrator We create better everyday conditions for people. We do this by contributing to a more sustainable future through engineering innovation. We love what we do and we re good at it. But now we want to be even better! We re looking for an experienced and passionateNetwork Administrator / Engineer for our Global IT Delivery Centre in India. We are already providing IT services and support to Alfa Laval companies around the world, and we are now expanding our operations to meet future demands. Alfa Laval has invested in a Global IT Delivery Centre in Pune with the vision to expand and deliver IT services as an extension to our global teams located in Sweden, Denmark and the USA. We focus on cost-effective solutions and improved performance to create a unique Alfa Laval experience! Who are we looking for We are looking for a new member for our Core IT & Infrastructure Operations team as Network Administrator to play a crucial role in monitoring, configuring, maintaining, and supporting an organization s Network Infrastructure platform. Your responsibilities will span technical acumen, customer service, and ensuring seamless access to tools and applications. You ll address any issues that arise within the platform, safeguard data, and support productivity and collaboration tools. We are looking for a Senior Network Administrator/ Engineer with 5- 7 yrs experience to develop and maintain functional and secure networks. In this role you will be responsible for supporting, configuring, monitoring and maintaining company Networks globally which are 24x7.Additionally You will mentor a team of engineers to troubleshoot and optimize our networks. In this role, you should have excellent problem-solving skills and thorough knowledge of network administration and architecture. If you re also passionate about Cisco Networking, we d like to meet you. Who are You A person with keen interest on Administration and Automation. Willingness to learn and adapt to changes in the Global Network Infrastructure ecosystem. Ability to find creative solutions to complex problems within Administration area. Contributing to the team s knowledge base and helping colleagues. Keeping detailed records of configurations, changes, and incidents. Requirements and Responsibilities What we need: Configure, install and integrate Cisco Network Switches (Cisco 9200, 93000), Access Points (9120) and other network devices. Monitor network performance and integrity. Fully support, configure, maintain and upgrade company s networks. Troubleshooting and resolving network issues, implementing security measures, and proactively optimizing network performance. Handle day to day LAN Connectivity. Resolve issues tiers of support have escalated by troubleshooting cloud, Global and local infrastructure. Automate tasks and monitor their effectiveness. Mentor team members on technical issues. Communicate with users when needed. Suggest improvements to network performance, capacity and scalability. Requirements and Skills: Graduate in any field. CCNA or CCNP certification Excellent Communication Skills i.e. Communication, collaboration, and curiosity is a must. What we expect: Graduate preferably in Computer Science, Engineering, or a related field. Industry-related experience as a Senior Network Engineer orNetwork Administrator Professional certification (e.g. CCNA, CCNP) Solid background in network administration and architecture In-depth understanding of communication protocols (mainly TCP/IP) and routing protocols (e.g. BGP, OSPF) Cisco Firewall and SD WAN knowledge is preferred. Experience with network diagnostic, monitoring and analysis tools (e.g. SolarWinds network tools) Monitor network performance (availability, utilization, throughput, goodput, and latency) and test for weaknesses. Solid understanding of network operating systems (Cisco IOS) Hands on experience in networking, routing and switching. Sharp troubleshooting skills Ability to work independently. Great at organizing, prioritizing and multitasking. Organizational and mentoring skills Perks & Benefits: 1. Health & Wellness: Comprehensive family medical coverage Wellness programs and resources, and discounted gym memberships. Preventive Health Care for employees. 2. Financial Benefits: Competitive salary with opportunities for allowances. Retirement savings plan with NPS. 3. Paid Time Off: Generous vacation, personal, and sick leave. Paid holidays and options for flexible work schedules. 4. Professional Growth: Access to training, workshops, and ongoing career development opportunities. Leadership development initiatives. Opportunities to travel and collaborate with Global colleagues 5. Work-Life Balance: Flexible work hours and remote work options. 6. Additional Perks: Company-sponsored social events and team-building activities. Volunteer opportunities in CSR programs. Be part of the Swedish Sports league. Qualification : Graduate preferably in Computer Science, Engineering, or a related field.

Job Overview Senior Engineer - Data Analytics in the Manufacturing domain with 3-7 years of experience. Lead data analytics projects focusing on aerospace reliability and warranty analysis. Develop solutions using Python and Power BI, creating insightful dashboards. Analyze warranty and aftermarket data for valuable insights. Collaborate across teams to address challenges. Streamline data processes using VBA and MS Excel. Drive reliability analysis initiatives for product performance. Communicate findings effectively and mentor junior team members. Demonstrate strong project management and leadership skills. Preferred: Experience in After-market data analysis, strong communication skills, proficiency in VB.Net. Education: Bachelor of Technology or Bachelor of Engineering in Computer Science coupled with an MBA in Business Analytics or Data Science. Preferred certifications: Microsoft Certified: Data Analyst Associate and Certified Reliability Engineer (CRE). Roles & Responsibilities Lead and oversee data analytics projects with a focus on reliability and warranty analysis in the aerospace industry. Utilize Python and Power BI to develop advanced data analytics solutions and create insightful Power BI dashboards for stakeholders. Conduct in-depth analysis of warranty data and aftermarket performance to provide valuable insights and recommendations. Collaborate with cross-functional teams to understand and address the unique challenges of the aerospace aftermarket business. Apply expertise in VBA and MS Excel to streamline data processes and enhance data visualization. Drive reliability analysis initiatives to ensure product performance and customer satisfaction. Communicate findings effectively through reports and presentations. Mentor junior team members and contribute to their professional development. Demonstrate strong leadership skills in project management and team coordination. Maintain a high level of professionalism and uphold ethical standards in data analysis and reporting. Our ideal candidate Extensive experience in Python, Power BI, Warranty Analysis, Aerospace V&V (Verification and Validation) processes, and Reliability Analysis 3-7 years of experience with advanced proficiency in Python for developing data analysis scripts and automation tools Expertise in Power BI for creating interactive visualizations and dashboards In-depth knowledge of Warranty Analysis and Reliability Analysis methodologies Ability to apply VBA and MS Excel for data manipulation and analysis Education: Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, coupled with a Master of Business Administration (MBA) in Business Analytics or Data Science Certification: Microsoft Certified: Data Analyst Associate and Certified Reliability Engineer (CRE) preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, coupled with a Master of Business Administration (MBA) in Business Analytics or Data Science

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.