Data Quality Jobs in Pune

Salesforce Developer Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize infrastructure with no upfront capital through Infrastructure Monetization. Headquartered in Denver, we operate across 12,000+ sites globally, fostering a culture of sustainability, innovation, and operational excellence. Position Summary Redaptive is seeking an experienced Salesforce Developer to enhance and optimize our Salesforce ecosystem. This role involves building solutions across multiple clouds, integrating external systems, and leveraging AI and automation to drive business growth and operational efficiency. Key Responsibilities Salesforce Development & Configuration Design and maintain customizations using Apex, Lightning Web Components (LWC), and Aura Components. Build declarative solutions using Salesforce Flows, validation rules, and page layouts. Support diverse business processes across Sales, Service, and Experience Clouds. Integration & System Support Integrate Salesforce with external systems via REST/SOAP APIs or middleware. Manage version control and CI/CD activities using tools like Git and Copado. Maintain data quality, migration, and the integrity of the sharing and security model. Business Collaboration & Delivery Gather requirements and deliver solutions in an Agile/Scrum environment using Jira. Conduct code reviews and ensure rigorous unit test coverage and quality assurance. Stay current with emerging Salesforce features, including Einstein AI and advanced automation. Required Skills & Qualifications Experience: 5+ years of Salesforce development (Apex, LWC, SOQL/SOSL, Triggers). Architecture: Deep understanding of Salesforce architecture and governor limits. DevOps: Familiarity with Git, Copado, and sandbox management. Certification: Salesforce Platform Developer I is required. Education: Bachelor s degree in Computer Science, IT, or a related technical field. Preferred Skills Certifications: Platform Developer II and JavaScript Developer I. Cloud Expertise: Experience with CPQ, Data Cloud, or Einstein Analytics. Middleware: Knowledge of MuleSoft or Workato. Perks & Benefits Financial: Competitive pay, performance bonuses, and equity participation. Flexibility: Hybrid work model and generous paid time off. Wellbeing: Comprehensive health insurance and Employee Assistance Program. Redaptive Extras: Creative workspaces and snack-stocked pantries. Qualification : Bachelors degree in Computer Science, IT, or a related technical field

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: Quality Assurance Engineer Location: Pune Experience: 4 6 Years Qualification: B.E./B.Tech in Electronics, Instrumentation, or Telecommunication Engineering Job Summary We are seeking an experienced Quality Assurance Engineer with a strong background in PCB Assembly (SMT/MI), electronics manufacturing, and quality systems. The role involves ensuring product and process quality, handling root cause analysis, programming production equipment, and driving continuous improvement across the electronics manufacturing lifecycle. Key Responsibilities 1. NPI & Engineering Change Control Lead release to production activities for new products and engineering change notices (ECNs). Program and optimize equipment such as Pick & Place machines, AOI, Reflow ovens, Wave Solder Machines, ICT, and Robotic Soldering. Check and validate stencil and wave pallet suitability for new designs. Prepare PPAP and PFMEA reports with cross-functional teams (Engineering, PPC, Purchase, Production). Plan and coordinate product reliability testing. 2. PCB Assembly Quality (SMT & MI) Conduct in-line and final inspections in accordance with IPC-610 and internal standards. Develop and implement quality control procedures for all stages of PCBA production. Ensure adherence to industry and internal quality standards throughout the manufacturing process. 3. Box Build & End-of-Line Testing Oversee quality assurance in box build and final product assembly. Lead root cause analysis (RCA) for defects and customer complaints. Implement corrective and preventive actions (CAPA) to avoid recurrence. Evaluate and approve suppliers/machine vendors based on quality and capability. 4. Process Control & Audits Analyze production and quality data to identify trends, anomalies, and areas for improvement. Conduct internal audits to ensure process and documentation compliance. Maintain and enhance quality documentation including procedures, work instructions, and specifications. 5. Collaboration & Training Collaborate with R&D and design teams to ensure products are designed for manufacturability and quality. Train shop-floor and QA personnel on quality control procedures and IPC/industry standards. Maintain strong coordination with production and process teams for smooth issue resolution. 6. Workplace Safety & 5S/6S Implementation Ensure a safe work environment with zero accidents in designated areas. Uphold and improve 5S/6S practices across the quality and manufacturing areas. Key Skills & Competencies Must-Have 4 6 years of hands-on experience in PCBA manufacturing and QA. Strong knowledge of IPC standards, particularly IPC-A-610. Proficiency in PPAP, PFMEA, Control Charts, WI, and 7 QC Tools. Understanding of product/component drawings and GD&T principles. ERP experience (SAP or equivalent). Lean Manufacturing and Six Sigma Green Belt certified or equivalent. Nice-to-Have Exposure to troubleshooting of machines and PCBA programming. Certification in Quality Management (e.g., ASQ Certified Quality Engineer). Familiarity with reliability testing methods and equipment validation protocols. Performance Metrics Product defect rate and quality yield Number of successful NPI releases Audit compliance scores (internal/external) Effectiveness of RCA and CAPA closures 5S/6S implementation scores and workplace safety record Work with a leading electronics manufacturing company using the latest SMT & QA technologies Be a part of a team driving innovation, continuous improvement, and zero-defect culture Opportunities for career growth, cross-functional exposure, and professional certification support Qualification : B.E./B.Tech in Electronics, Instrumentation, or Telecommunication Engineering

Quality Manager Location: Pune Employment Type: Full Time Experience Required: 12 15 Years Job Summary We are seeking an experienced Quality Manager with 12 15 years of experience in a quality-driven environment within the machine tool or machine building industry. The ideal candidate will have at least 2 5 years of managerial experience overseeing quality departments and will be responsible for driving quality initiatives aligned with company goals. Key Responsibilities Define and implement quality strategies in alignment with the company s vision. Develop, implement, and maintain quality control processes, procedures, and policies to ensure products/services meet or exceed customer expectations. Monitor and analyze quality data to identify trends and areas for continuous improvement. Lead and mentor the quality control team, providing coaching and support as required. Collaborate with cross-functional teams to ensure quality processes align with overall business objectives. Conduct internal audits, identify gaps, and recommend corrective actions. Liaise with suppliers and vendors to ensure materials/components meet quality standards. Design and manage vendor evaluation processes and performance metrics. Maintain accurate and up-to-date quality documentation and records. Train team members on quality standards, policies, and best practices. Ensure quality control processes are integrated into new product/service development initiatives. Stay current with industry standards, best practices, and regulatory requirements. Key Skills & Requirements Bachelor s degree in engineering or a related field. Proven experience in quality management in the machine tool or machine-building sector. Knowledge of manufacturing, heat treatment, and surface treatment processes. Strong leadership and team management skills. Excellent analytical and problem-solving abilities. Effective communication and interpersonal skills. High attention to detail and commitment to quality. Proficiency in managing multiple priorities and projects. Familiarity with ISO standards and quality compliance regulations (ISO knowledge preferred). Qualification : Bachelors degree in engineering or a related field

Reporting Analyst Location: Pune Department: Research and Development Software Development Employment Type: Full-Time About Entrata Founded in 2003 by visionary college students transforming online rent payments, Entrata has grown into a global leader serving property owners, managers, and residents. Our award-winning software suite covers rent payments, insurance, leasing, maintenance, marketing, and communications reshaping property management worldwide. With over 2,200 team members globally across offices in Utah, Texas, India, Israel, and the Netherlands, Entrata blends startup innovation with enterprise stability. We value transparent communication, diversity of thought, boldness, resilience, and collective excellence to create better living experiences. Role Overview Entrata is seeking a highly analytical and detail-oriented Reporting & Metrics Analyst to join our R&D team. In this role, you will design and maintain the reporting infrastructure that drives operational transparency and accountability across the product development lifecycle. You will collaborate closely with Product, Engineering, and Product Marketing teams to provide real-time insights into requirement tracking, release readiness, internal tool adoption, and go-to-market asset status. The ideal candidate has deep expertise in Domo, strong SQL skills, and familiarity with Jira schema and Agile workflows. Your passion for building intuitive dashboards, surfacing actionable metrics, and automating reporting will enable scalable, data-driven decisions. Key Responsibilities Design, develop, and maintain dashboards in Domo that track SDLC progress, release health, and adoption metrics. Ensure Jira data integrity by maintaining consistent tagging, statuses, and structures for epics and user stories. Write custom SQL queries to create calculated metrics, join datasets, and implement audit flags. Monitor data freshness and proactively alert teams to any inconsistencies or missing inputs. Track and report on product requirements planning and execution, including ownership and release eligibility. Provide visibility into internal communications deliverables, such as product updates, launch decks, and customer enablement content. Analyze usage and adoption metrics for internal tools (e.g., support agents, documentation platforms). Collaborate with Product Marketing to define standardized reports for quarterly planning, user conferences, and release briefings. Automate reporting workflows to minimize manual effort and maximize accuracy. Deliver regular reporting packages to R&D and cross-functional leadership teams. Minimum Qualifications 2+ years of experience in analytics or reporting within software, product, or data operations environments. Strong hands-on experience creating dashboards in Domo. Proficient in SQL for querying and manipulating complex datasets. Familiarity with Jira data structures, issue hierarchies, and Agile methodologies. Detail-oriented with a strong commitment to data quality and reporting accuracy. Excellent communication skills, with the ability to clearly document insights and enable stakeholders. Ability to manage multiple stakeholders and priorities in a fast-paced setting. Preferred Qualifications Experience reporting on product development, SDLC, or Agile delivery metrics. Background supporting go-to-market deliverables or product marketing functions. Familiarity with support analytics or customer experience platforms (e.g., Zendesk, internal AI tools). Comfortable collaborating with distributed teams and using remote collaboration tools.

Job Title: Team Member MDM Cell (Master Data Management) Experience Required: 3 to 5 Years Location: Pune Job Description We are seeking a skilled and detail-oriented professional to join our Master Data Management (MDM) Cell. The ideal candidate will be responsible for maintaining and improving the quality of master data, driving data governance, and supporting business operations through effective data management practices. Key Responsibilities Data Analysis & Optimization: Analyze master data and data sources to identify patterns, trends, and anomalies that can enhance operational efficiency and support data-driven decision-making. Data Audits: Conduct periodic audits of existing master data rules and ensure data integrity, accuracy, and consistency. MDM Best Practices: Provide guidance and expertise on MDM standards and best practices, helping implement robust data management frameworks across the organization. Project Coordination: Plan, coordinate, and execute MDM-related projects, ensuring they are delivered on time, within scope, and aligned with business objectives. Data Quality Improvement: Monitor and improve master data quality metrics, and reduce redundancy and discrepancies in systems and databases. Stakeholder Collaboration: Work closely with business stakeholders to gather data requirements and deliver a 360-degree view of enterprise data through tailored MDM solutions. Qualifications MBA, MCA, BCA, or a related degree 3 5 years of experience in Master Data Management or related domains Strong analytical and problem-solving skills Familiarity with data governance, quality metrics, and audit processes Ability to communicate effectively with technical and non-technical stakeholders Qualification : MBA, MCA, BCA, or a related degree

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

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.

Tableau Architect Location: Pune Role Overview: We are looking for an experienced Tableau Architect to lead the design, development, and optimization of scalable data visualization solutions. The ideal candidate will bring deep expertise in Tableau, strong data architecture skills, and a passion for mentoring and guiding teams. You will play a pivotal role in delivering impactful analytics and ensuring best practices are followed across the organization. Key Responsibilities: Lead and mentor junior Tableau developers and analysts in Pune, fostering skill development and enforcing adherence to data visualization best practices. Architect, design, and implement scalable, high-performing Tableau dashboards and data models to support business analytics needs. Optimize Tableau environments to ensure efficient performance with large datasets and complex visualizations. Guide and support data integration efforts from diverse data sources into Tableau, ensuring data consistency and reliability. Conduct training sessions, hands-on workshops, and provide one-on-one mentorship to upskill team members. Collaborate with cross-functional teams including data engineers, business analysts, and IT to align on data and reporting requirements. Troubleshoot and resolve technical issues related to Tableau workbooks, data connections, and server performance. Create and maintain clear, user-friendly documentation for internal and external stakeholders, including architecture diagrams, user guides, and training materials. Technical Skills: Advanced proficiency in Tableau Desktop, Tableau Prep, and Tableau Server. Strong background in data modeling, ETL processes, and data architecture. Expertise in SQL and experience working with relational databases (e.g., SQL Server, Oracle). Hands-on experience in data integration from multiple sources and ensuring data quality. Proven ability to optimize dashboard performance for speed and responsiveness with large-scale datasets. Familiarity with cloud platforms such as AWS or Azure for data storage and analytics. Soft Skills & Additional Requirements: Experience in training and mentoring junior analysts, with a focus on building local talent in Pune. Excellent communication skills, especially when working with distributed and cross-functional teams. Strong problem-solving abilities to diagnose data and performance issues effectively. Commitment to producing high-quality documentation and reusable templates.

Position: Provider Data Operations Senior Associate Location: Pune, Maharashtra, India Our Mission: Healthcare should work for patients, but often it doesn t. Zocdoc empowers patients by offering the leading healthcare marketplace to easily find and book care across specialties and insurance plans nationwide. Our goal is to make healthcare consumer-friendly, driving quality up and prices down. Your Impact: As a Senior Provider Data Operations Associate, you will be the guardian of Zocdoc s data ecosystem managing, structuring, and analyzing large volumes of data to ensure accuracy and integrity. You'll transform raw data into strategic insights that drive decision-making and continuous improvement. By leveraging AI tools, JavaScript, and SQL, you ll optimize workflows and scale operational processes across product and operations teams. Day-to-Day Responsibilities: Use AI prompts to improve workflow efficiency. Develop and maintain automation scripts using Google Apps Script and JavaScript. Troubleshoot and optimize scripts to enhance functionality and scalability. Extract, manipulate, audit, and analyze data using SQL. Generate actionable insights from various dashboards. Support product decisions with data-backed research and cross-functional collaboration. What Makes You Successful: Bachelor s degree with good academic standing (minimum 60% in 10th/12th/graduation). 3-4+ years of relevant work experience. Proven experience using AI tools for automation. Advanced skills in Microsoft Excel and Google Sheets, including Google Apps Script. Working knowledge of JavaScript and comfort with web-based tools. Understanding of Python and expertise in SQL is a plus. Strong communication skills to translate technical and non-technical information. Ability to manage multiple tasks in a fast-paced environment with a strong sense of accountability. Experience in US healthcare or healthcare technology is a bonus. Benefits: Work with a smart, supportive, and collaborative team. Competitive salary and medical insurance. Perks such as catered lunches, Ping Pong, daycare facilities, and wellness programs. Cellphone and Wi-Fi reimbursements. Competitive parental leave and sabbatical after 5 years. Annual sponsored health check-ups. Certified Great Place to Work (2024-2025). About Zocdoc: Zocdoc is the leading digital health marketplace in the US, connecting millions of patients with nearby, in-network healthcare providers. Founded in 2007, Zocdoc s mission is to empower patients with choice and transparency. We value diversity, collaboration, and innovation, striving to build a better healthcare experience for all. Qualification : Bachelors degree with good academic standing (minimum 60% in 10th/12th/graduation).

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: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, 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.

Informatica Senior Developer (IDMC) Pune Location: Pune Experience: 5+ Years Start Date: Immediate Salary: Best in Industry Qualification: Bachelor s / Master s Degree in Computer Science, IT, or a related field Job Summary: We are hiring a skilled and experienced Informatica Senior Developer specializing in IDMC (Informatica Intelligent Data Management Cloud) for our Pune location. The role involves leading the design and development of scalable MDM solutions, ensuring data governance, and optimizing cloud data integrations across enterprise systems. If you're looking to lead next-gen data initiatives using cloud-native technologies, this is the role for you. Key Responsibilities: MDM Architecture & Solution Design: Design scalable and secure Informatica MDM solutions on IDMC. Define enterprise-wide data governance, data modeling, and metadata frameworks. IDMC Implementation Leadership: Lead end-to-end MDM project lifecycles including development, testing, deployment, and optimization. Ensure high-quality and business-aligned IDMC solutions. Cloud Data Integration: Integrate MDM with cloud and enterprise systems using Cloud Data Integration and Cloud Application Integration. Tune data flows for maximum performance and availability. Data Governance & Compliance: Implement data security, compliance (GDPR, CCPA), and quality rules using IDMC features. Ensure consistent and accurate data across business domains. Leadership & Mentorship: Mentor junior developers and guide them through complex workflows in IDMC. Establish best practices and coding standards within the team. Cross-Team Collaboration: Partner with business analysts, data architects, and stakeholders to align MDM initiatives with enterprise goals. Troubleshooting & Continuous Improvement: Lead resolution of technical issues in production and development environments. Continuously optimize MDM workflows for better performance and efficiency. Documentation & Reporting: Maintain clear and comprehensive documentation on architecture, configurations, and workflow processes. Provide regular project status updates to leadership and stakeholders. Key Requirements: Experience & Expertise: 5+ years of hands-on experience with Informatica MDM and IDMC. Proven experience designing and deploying cloud-native MDM solutions. In-depth knowledge of Cloud Data Integration, Cloud Application Integration, and Cloud Data Quality. Technical Skills: Strong command over SQL, Java, RESTful APIs, and web services. Experience with cloud-native data architecture, governance, and data security on IDMC. Familiarity with Azure, AWS, or Google Cloud is a plus. Work in a leading-edge cloud data engineering team based in Pune. Shape the data landscape of global enterprises through MDM excellence. Enjoy a collaborative culture, flexible working environment, and top-tier compensation. Apply Now to join as an Informatica Senior Developer (IDMC) and lead transformative data initiatives from our Pune office! Qualification : Bachelors / Masters Degree in Computer Science, IT, or a related field

About Talentica Software: Talentica Software is a specialized software development firm founded by seasoned industry experts and alumni of IIT Bombay. We partner with startups to create innovative products, using cutting-edge technologies to address real-world challenges. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the U.S., contributing to many successful exits. In 2022, Talentica Software was honored as one of India s Great Mid-Size Workplaces by Great Place to Work. What We re Looking For: We are seeking a motivated Data Analyst to join our growing team. If you're passionate about working with SQL, BigQuery, Tableau, and MongoDB, and enjoy optimizing data ecosystems, we d love to hear from you! In this role, you will play a key part in managing and enhancing our data infrastructure, working across SQL (Oracle), BigQuery, Tableau, and NoSQL databases like MongoDB. You'll also help build our Lakehouse architecture and ensure data accuracy while supporting the scalability of our platform. Your Responsibilities: Develop, optimize, and maintain SQL queries to support efficient data delivery for Tableau reports. Write and refine complex queries for Oracle and BigQuery databases to meet business reporting needs. Utilize MongoDB to query semi-structured data for analytics and reporting. Collaborate with BI developers and analysts to streamline data workflows and enhance report accuracy. Design and manage ETL/ELT pipelines for smooth data ingestion and transformation. Work with cross-functional teams to identify and implement improvements in data workflows. Troubleshoot and resolve data issues as they arise. Contribute to the early-stage development of our Lakehouse architecture. Prepare existing data workflows for seamless integration with modern cloud platforms. Stay current with emerging data technologies and contribute to ongoing modernization efforts. Perform data validation and reconciliation to ensure consistency across multiple data sources. Collaborate with data analysts and business stakeholders to resolve data discrepancies. Support data quality assurance initiatives and establish best practices for data reliability. What You ll Need to Succeed: Qualifications: A BE/BTech in Computer Science, Data Engineering, or a related field from a prestigious institution (IIT, NIT, BITS, etc.). Experience: At least 5 years of experience in SQL development and managing data pipelines. Technical Skills: Advanced SQL skills, including performance tuning and query optimization. Strong understanding of ETL/ELT processes and experience with data transformation. Hands-on experience with relational databases (Oracle, BigQuery) and NoSQL (MongoDB). Proficiency in Python or other scripting languages for automation. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Experience with BI tools like Tableau is highly desirable. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to manage multiple tasks independently in a fast-paced environment. What We Offer: Innovative Culture: We focus on cutting-edge development, not routine maintenance work. Our team thrives on staying ahead with the latest technologies. Continuous Learning: At Talentica, you ll find abundant opportunities to grow and keep up-to-date with the latest trends in technology. Brilliant Peers: Work alongside talented professionals from top engineering colleges (IITs, NITs, and more). Work-Life Balance: Enjoy flexibility with remote work options and adaptable schedules. Supportive Environment: 82% of our employees recommend Talentica to their peers (according to Glassdoor), thanks to our positive, collaborative work culture. Recognition & Rewards: Your hard work will be celebrated, with a culture that recognizes and appreciates your contributions. If you re excited about the prospect of working with a team of bright professionals and advancing your career, we d love to hear from you. Ready to make an impact? Apply today, and let s connect! Qualification : BE/BTech in Computer Science, Data Engineering, or a related field from a top-tier institution (IIT, NIT, BITS, etc.).

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.

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.

Summary / Role Purpose As a Data Operations Analyst within the GTM Transformation & Strategy organization, you will partner with the Business Process Architect and Business Process Analyst to guide our stakeholders through the data quality-requirements definition and grooming of critical initiatives throughout our implementation portfolio. Experienced in engaging with cross-functional business stakeholders, you understand how to identify the data-related requirements necessary to achieve a business stakeholders goal and identify opportunities for data quality improvement. Key Duties and Responsibilities Collaborate with business stakeholders and lead discovery sessions to understand data requirements for activities including but not limited to: data mapping/transformation and data migration between systems, data loads and data quality; make recommendations to solve business problems. Critically evaluates information gathered from multiple sources, reconciles inconsistency, and breaks down high-level information into details. Works within agile SAFe operating model; ensures data-related activities are completed prior to release including but not limited to: data dictionary updates, business glossary updates, profile/permission master updates. Manages and monitors data quality dashboards; communicates key findings to business stakeholders. Perform Data Migration/Validation testing efforts; lead data-related UAT preparation activities and guide business users through data validation testing. Minimum Education/Certification Requirements and Experience Bachelor s Degree or equivalent work experience. 3+ years of data analyst experience focused on data mapping/STTM, data migration, data uploads. 2+ years of business systems administration related to customer data management. Prior experience with Salesforce security model, record management and data quality tools (i.e. data loader, deduplication, enrichment, standardization and archival capabilities). Prior experience maintaining data dictionary, data catalog and business glossary. Strong analytical skills with the ability to work through processes, identify and implement data quality improvements and resolve complex matters. Strong time management, attention to detail, and ability to multi-task across concurrent projects. Self-starter mentality and ability to operate within a fast-paced and ambiguous environment. Preferred Qualifications and Skills Salesforce Administrator (201) certification. Experience working in an Agile/SAFe environment. Experience with application lifecycle management tools (ADO, Jira, etc.). Ability to take on various roles including Business Process Analyst as needed, capturing and defining both business process and data-related requirements and translating into Agile Features with Acceptance Criteria. Comfortable working with unstructured or poorly defined data sets. Strong communication and writing skills with the ability to create business deliverables -- including features, user stories and acceptance criteria, with minimal direction and support from a team lead or project manager. Proficiency with MS Office suite of products, including Outlook, Word, Excel and PowerPoint. Our Commitments Amaze with innovative products and solutions. Make our customers incredibly successful. Act with integrity. Ensure employees thrive and shareholders prosper. Our Values Adaptability: Be open, welcome what's next. Courage: Be courageous, move forward passionately. Generosity: Be generous, share, listen, serve. Authenticity: Be you, make us stronger. Our Actions We commit to audacious goals. We work seamlessly as a team. We demonstrate mastery. We deliver outstanding results. Inclusion is at Our Core We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive.

About Apexon Apexon is a digital-first technology services firm that specializes in accelerating business transformation and delivering human-centric digital experiences. We work with clients across the digital lifecycle, helping them outperform their competition through speed and innovation. With deep expertise in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering, and UX, Apexon is at the forefront of helping businesses capitalize on the limitless opportunities digital offers. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon has a global presence with 15 offices and 10 delivery centers across four continents. We re committed to enabling #HumanFirstDigital. Role: Software Engineer As a Software Engineer at Apexon, you will play a pivotal role in developing innovative technology solutions, particularly focused on improving cancer diagnostics. Your work will directly contribute to saving and improving lives globally. You will be working with a fast-paced, collaborative team of top-tier engineers. Key Responsibilities: Software Development: Propose and evaluate design options, review code, and analyze requirements. Implement high-quality code and tests in areas such as web APIs, databases, cloud components, and analysis pipeline execution. Process & Operations: Ensure test automation and regulatory compliance are embedded into software development practices. Apply Lean principles in activities to drive continuous improvement in team operations and product quality. Who You Are: You are an experienced software engineer with a passion for working in innovative technology that makes a difference in the healthcare industry. You thrive in a collaborative environment and have a strong leadership skillset that drives successful project execution. You are committed to continuous improvement and have experience delivering high-quality software solutions. Qualifications: Bachelor s degree in Computer Science or a related technical discipline. 4+ years of hands-on experience designing, developing, and deploying scalable web applications and services. Experience in building software products using Java, REST APIs, Microservices, and modern web frameworks like Angular/React. Proficient in data structures (e.g., Stack, Queue, LinkedList) and algorithms. Experience with cloud infrastructure, preferably AWS. Ability to collaborate on architectural discussions and take ownership of projects to deliver high-quality software. Experience with relational and NoSQL databases. Dedication to Agile/Lean practices and scalable architecture. Ability to develop reusable inner- or open-sourced components for multiple projects. Experience with behavior or test-driven development. Experience working closely with security and compliance teams to ensure software meets requirements. Ability to work with globally distributed, multicultural teams. Nice to Have: Experience developing regulated products under design control. Familiarity with virtualization, containers, and orchestration platforms (Docker, Kubernetes). Experience with tools like Datadog, Helm, and GitHub Actions. A passion for continuous improvement in software development processes and frameworks. Our Commitment to Diversity & Inclusion: Apexon is a proud equal opportunity employer, certified by Great Place to Work in the USA, India, and the UK. We are dedicated to fostering a diverse and inclusive work environment and strictly prohibit discrimination and harassment. We offer equal opportunities to employees and applicants without regard to gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or other protected characteristics. Our Perks and Benefits: We provide a comprehensive benefits program designed to recognize your contributions and support your personal growth, learning, and well-being. Our offerings include: Group Health Insurance covering family of 4. Term Insurance and Accident Insurance. Paid Holidays & Earned Leaves. Paid Parental Leave. Learning & Career Development opportunities. Employee Wellness programs.