Cobol Batch Processing 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

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.

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.

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

Data Engineer - Media & Advertising Sector - Job Description We are looking for an experienced Data Engineer to join our team and drive business outcomes in the media and advertising sector. In this role, you will leverage advanced data technologies to design and implement comprehensive data strategies that focus on scalability, performance optimization, and secure data management. Successful candidates will have hands-on experience with Big Data technologies and machine learning models, as well as a deep understanding of the advertising domain and its data needs. Technical and Professional Requirements: Big Data Technologies: Proficiency with platforms such as BigQuery, Big Data, Hadoop, and Snowflake for managing and processing large-scale datasets. Programming/Scripting Languages: Strong experience in programming languages like Python, Java, or Go for developing data solutions. Machine Learning Models: Hands-on experience defining and implementing various Machine Learning models to address diverse business requirements. Data Scalability & Performance: Practical experience in handling performance and data scalability challenges to ensure efficient data processing and storage. Advertising Domain Knowledge: Familiarity with advertising data and experience working with datasets such as Campaign Performance, Ad Performance, Attribution, and Audience Data. Job Responsibilities: Data Strategy Design: Develop a comprehensive data strategy that aligns with business objectives. This includes designing data models, establishing database development standards, and managing data warehouses and data analytics systems. Data Source Identification: Identify internal and external data sources and create a plan for managing these data sources according to the overall business data strategy. Cross-Functional Collaboration: Work with various teams (engineering, product, analytics, etc.) to ensure the smooth functioning of the enterprise data system, facilitating cross-departmental cooperation. End-to-End Data Architecture: Manage the end-to-end data architecture process, from selecting the platform and designing technical architecture to developing applications, and finally testing and implementing the solution. Big Data Solution Planning: Plan and execute big data solutions using technologies like BigQuery, Big Data, Hadoop, and Snowflake. Data Accessibility & Security: Integrate technical functionality that ensures data accessibility, accuracy, and security throughout the data lifecycle. Educational Requirements: Any Graduate with 60% and above in your academic background. This position is ideal for someone who is passionate about data engineering and eager to tackle complex challenges in the media and advertising sector. If you're looking to drive innovation, work with cutting-edge technologies, and collaborate across teams, we would love to hear from you! Qualification : Any Graduate with 60% and above in your academic background.

Company: AFour Technologies (An ACL Digital Company) Location: Pune Employment Type: Full-time Company Overview AFour Technologies, part of ACL Digital (an ALTEN Group company), is a leader in digital product innovation and engineering. We specialize in AI, Cloud, and Mobile-ready solutions, helping clients build content-driven platforms and digital experiences. With a multicultural workforce spread across 30+ countries, we offer a collaborative and dynamic work environment. At AFour Technologies, we combine the creativity of product engineering with the reliability of a service mindset, giving our employees exposure to a unique mix of product and service-based development. What We Are Looking For We are seeking enthusiastic Cobol Developers who aspire to grow into senior leadership positions. Technical Skills & Core Competencies Strong experience in Cobol development. Excellent troubleshooting and problem-solving skills. Hands-on expertise with Linux distributions (CentOS, RedHat, Ubuntu, etc.). Experience with at least one database (SQL or NoSQL). Good to have: Experience with MS Technologies (.NET, C#, Azure) and REST API development. Key Responsibilities Write clean, well-structured, and efficient Cobol code. Adhere to coding standards and guidelines. Develop solutions with a focus on security and performance. Perform unit testing and debugging. Participate in design and code reviews. Maintain a high standard of code quality and promote best practices. Collaborate with product and QA teams to ensure smooth development cycles. Provide timely status updates and participate in customer meetings. Growth Path Software Development Engineer (SDE) Senior SDE Lead SDE Principal SDE Architect/Technical Program Manager (TPM) Experience Required 3 to 10 years in software development. If you are looking for an opportunity to work on cutting-edge technologies in a dynamic and growth-oriented environment, apply now!

In this role, you will join one of IBM Consulting's Client Innovation Centers (Delivery Centers), where we deliver deep technical expertise and industry insight to both public and private sector clients globally. Our centers provide locally based skills to drive the innovation and adoption of new technologies. A career in IBM Consulting offers long-term relationships and close collaboration with clients worldwide. You ll work alongside visionaries across multiple industries to improve hybrid cloud and AI journeys for some of the world s most innovative and valuable companies. Your ability to accelerate impact and foster meaningful change is enabled by IBM's robust technology platforms, including software and Red Hat. Curiosity and a constant quest for knowledge are key to success, allowing you to challenge the norm, think creatively, and produce groundbreaking solutions for our clients. This environment promotes long-term growth, with ample career development opportunities. Your Role and Responsibilities: As a Big Data Engineer, you will be responsible for the design, maintenance, evaluation, and testing of big data solutions. Your key responsibilities include: Designing, building, optimizing, and supporting data models and ETL processes based on client business requirements. Building, deploying, and managing data infrastructure that can support the needs of a rapidly growing, data-driven organization. Coordinating data access and security to ensure seamless data access for data scientists and analysts when needed. Developing data pipelines/workflows for Source to Target and implementing solutions to address client needs. Ensuring high performance, scalability, and reliability of big data solutions. Required Technical and Professional Expertise: 3-5 years of experience working with Big Data technologies (Hadoop, Spark, HBase, Hive). Proficient in Scala and Python for data engineering tasks, including writing Pyspark programs for data analysis. Good working experience with Python to develop a custom framework for rule generation (similar to a rules engine). Developed Python code to gather data from HBase and implemented solutions using Pyspark. Strong knowledge of Apache Spark, including working with DataFrames and RDDs for business transformations. Experience using Hive Context objects for read/write operations in Hive. Preferred Technical and Professional Expertise: Understanding of DevOps principles and practices. Experience in building scalable end-to-end data ingestion and processing solutions. Familiarity with AWS services (e.g., S3, Athena, DynamoDB, Lambda, Jenkins). Proficiency in object-oriented and/or functional programming languages such as Python, Java, and Scala. As a Big Data Engineer at IBM Consulting, you will have the opportunity to work with cutting-edge technologies, influence industry transformations, and drive meaningful change for a variety of clients. IBM fosters a culture of continuous learning and career development, giving you the resources and support to grow in your role and within the company. This role offers the chance to work on complex, high-impact projects and collaborate with a global team of industry leaders.

We are seeking a highly experienced Senior Big Data Software Engineer to join our dynamic team and tackle challenging projects that will enhance your skills and career. As a Senior Engineer, your contributions will be critical in designing and implementing Big Data solutions across a variety of projects. The ideal candidate will possess deep experience in Big Data and associated technologies, with a strong emphasis on Apache Spark, Python, Azure and AWS. #LI-DNI#EasyApply Technologies Hadoop Hive Responsibilities Develop and execute end-to-end Big Data solutions to meet complex business needs Work collaboratively with interdisciplinary teams to comprehend project needs and deliver superior software solutions Apply your expertise in Apache Spark, Python, Azure and AWS to create scalable and efficient data processing systems Maintain and enhance the performance, security, and scalability of Big Data applications Keep abreast of industry trends and technological advancements to foster continuous improvement in our development practices Requirements 5-8 years of direct experience in Big Data and related technologies Advanced knowledge and hands-on experience with Apache Spark High-level proficiency with Hadoop and Hive Proficiency in Python Prior experience with AWS and Azure native Cloud data services We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

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

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

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

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

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IIT Bombay. We specialize in helping startups build cutting-edge products and thrive on leveraging the latest technologies to solve real-world problems. With over 21 years of experience, we have worked with 180+ startups, primarily in the US, leading to many 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 re looking for a Big Data Developer who is passionate about building intelligent, scalable solutions and eager to work with the latest technologies. If you're ready to drive the future of tech and collaborate on exciting projects with top-tier developers, we d love to have you join us. What You ll Be Doing: As a Big Data Developer, you will: Develop intelligent, scalable engineering solutions from scratch. Collaborate with customers to understand product vision and goals. Contribute to high-level and low-level product designs and roadmaps alongside a team of talented developers. Build products using cutting-edge technologies such as Python (Open-source tech stack), Kafka, Storm, Spark/Flask, Hadoop, Cassandra, MongoDB, and more. To Be Successful in This Role, You Should Have: Qualification: BE/BTech in any branch from IIT, NIT, BITS, VJTI, COEP, or other top institutes in India. Experience: 4-6 years of experience working with Python and Spark/Flask. Technical Skills: Strong knowledge of NoSQL databases (Cassandra, Aerospike, MongoDB). Experience with REST API frameworks (a plus). What You ll Find at Talentica: A Culture of Innovation: We focus on creating cutting-edge solutions, not maintaining old projects. Our clients come to us for our technological expertise. Endless Learning Opportunities: Continuously expand your skills and stay at the forefront of the latest advancements, building better, faster, and simpler products. Talented Peers: Work with talented professionals from India s top engineering colleges (IITs, NITs, and others). Work-Life Balance: We understand the importance of well-being and offer flexible schedules, including remote work options, to help you thrive both professionally and personally. A Great Culture: Our employees love working here! 82% of our team recommends Talentica to their friends (according to Glassdoor). At Talentica, we invite you to be part of a dynamic team that pushes boundaries and doesn t just follow trends. If you re ready to shape the future of the tech industry with us, we d love to hear from you. Qualification : BE/BTech in any branch from IIT, NIT, BITS, VJTI, COEP, or other top institutes in India.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and IIT Bombay alumni. We specialize in helping startups build innovative products by leveraging cutting-edge tools and technologies to solve real-world challenges. With over 21 years of experience, we ve worked with over 180 startups, primarily in the US, leading 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 Senior Python Big Data Developer to join our team. If you're passionate about building scalable solutions from scratch, enjoy collaborating with clients, and love working with the latest technologies, this is the perfect opportunity for you. We re looking for proactive problem-solvers who are eager to contribute to innovative projects and deliver impactful solutions. What You ll Be Doing: As a Senior Python Big Data Developer, your responsibilities will include: Developing Scalable Solutions: Design and implement intelligent, scalable engineering solutions from the ground up. Client Collaboration: Work closely with clients to understand their product vision, goals, and technical requirements. Product Design: Contribute to both high-level and low-level product designs while collaborating with a team of skilled developers. Innovative Product Development: Utilize cutting-edge open-source Python technologies such as Kafka, Storm, Spark/Flask, Hadoop, Cassandra, MongoDB, and more to build innovative products. To Be Successful in This Role, You Should Have: Qualifications: BE/BTech from top engineering institutes (IIT, NIT, BITS, VJTI, COEP, or other top 100 engineering colleges in India). Experience: 3.6-6 years of experience in Python and Spark/Flask. Tech Skills: Strong expertise in NoSQL databases (e.g., Cassandra, Aerospike, MongoDB). Familiarity with REST API frameworks is a plus. What You ll Find Here: A Culture of Innovation: We focus exclusively on cutting-edge development, working on projects that push the boundaries of technology. Our clients come to us for innovative solutions, not maintenance work. Endless Learning Opportunities: At Talentica, you ll continuously expand your skill set by exploring and applying the latest advancements in technology. Talented Peers: Work alongside top-tier engineers from India's premier institutions (IITs, NITs, and others), offering numerous opportunities for collaboration and learning. Work-Life Balance: We prioritize your well-being with flexible schedules and remote work options, helping you maintain a healthy work-life balance. A Great Culture: Our employees love working here! 82% of our team members recommend Talentica to their friends, according to Glassdoor. If you re eager to be part of a dynamic team that doesn t just follow trends but leads and innovates, Talentica is the place for you. Join us and help shape the future of the industry by working on impactful, high-tech projects. Qualification : BE/BTech from IIT, NIT, BITS, VJTI, COEP, or other top 100 engineering institutes in India.

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.

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

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.

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.

Job Title: Senior Payroll Executive Location: Pune Experience: 5-8 years Education: BE/BTech/MCA/MTech (Preferably in CS/IT) Company: Accops Role Overview: We are looking for a detail-oriented Senior Payroll Executive to oversee the end-to-end payroll processes, ensure compliance with statutory regulations, and maintain accurate employee compensation data. The ideal candidate will have a strong background in payroll processing, analytical thinking, and an ability to manage confidential information with integrity. Key Technical Skills: Payroll Expertise: Deep understanding of payroll processes, including salary disbursements, deductions, bonuses, leaves, and attendance data. Statutory Compliance: Solid knowledge of statutory requirements like PF, ESI, PT, LWF, TDS, and other relevant laws. Payroll Software: Experience with payroll software such as GreytHR, ADP, SAP, or Keka (familiarity with one of these tools is required). Excel Proficiency: Advanced skills in Excel including formulas, pivot tables, conditional formatting, data validation, and logical structuring. Analytical Thinking: Strong analytical abilities to manage payroll data, resolve errors, and maintain accuracy in calculations. Roles and Responsibilities: End-to-End Payroll Processing: Handle payroll processing for employees on a monthly, quarterly, and annual basis, ensuring timely and accurate disbursement. Salary Management: Manage inputs related to salary, deductions, bonuses, leaves, and attendance data, ensuring compliance with company policies and statutory regulations. Statutory Compliance: Ensure compliance with statutory obligations, including PF, ESI, PT, LWF, TDS, and any other applicable laws. Salary Sheet Validation: Prepare, validate, and review salary sheets, ensuring all calculations are accurate and error-free before disbursement. Coordination with Finance: Collaborate with the Finance team for the timely transfer of salaries, variable pay, and calculation of inputs for salary adjustments. Employee Query Handling: Address payroll-related employee queries and ensure timely resolution. Data Management & Reporting: Create and manage reports, including payroll data sent to JIO from the HR payroll side, and generate dashboards for audits. Performance Management System (PMS): Take ownership of the PMS process, ensuring timely goal-setting, mid-year reviews, and final evaluations are completed. Variable Pay & Appraisals: Design and maintain templates for variable pay and appraisal calculations, and accurately perform these calculations based on performance and company policies. Employee Data Maintenance: Keep employee data related to compensation up to date, ensuring accuracy and integrity. Payroll Reconciliation: Reconcile payroll reports, bank statements, and audit requirements, ensuring accuracy and compliance. Audit Support: Generate reports for internal and external audits, ensuring compliance with financial and regulatory requirements. Soft Skills Required: Communication Skills: Strong verbal and written communication skills, with the ability to clearly articulate information to employees and management. Analytical Mindset: A logical and analytical approach to payroll data management, with a keen eye for detail. User-Centric Approach: Demonstrates a sincere and proactive approach in handling employee concerns, providing timely solutions. Self-Motivated & Proactive: Highly motivated, proactive, and capable of managing responsibilities independently. Adaptability: Flexible and adaptable to changing payroll requirements and business needs. Team Player: Able to work collaboratively within a team, fostering a positive and efficient work environment. Impactful Role: Play a key role in ensuring the seamless execution of payroll operations and employee satisfaction. Career Growth: Opportunity to develop your skills in a dynamic and growing company with exposure to various payroll and HR functions. Collaborative Culture: Be part of a collaborative team that values precision, accountability, and continuous improvement. Qualification : BE/BTech/MCA/MTech (Preferably in CS/IT)

Job Title: Computer Vision Engineer Location: Pune Experience: 3+ years Job Overview We re looking for a passionate Computer Vision Engineer to join a fast-paced startup environment. In this role, you will research, develop, and maintain scalable computer vision and machine learning solutions that analyze video feeds from online sessions, detecting anomalies and enhancing user experience. Required Skills & Qualifications BS/MS in Computer Science or equivalent, with 3+ years of industry and/or research experience in AI, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficient in C/C++ and Python, with solid experience working in a Linux environment. Hands-on experience with libraries and frameworks such as OpenCV, NumPy, SciPy, Scikit-learn, etc. Ability to clearly communicate complex technical concepts to both technical and non-technical audiences. Familiarity with Git version control. Highly Desirable Expertise in image classification, segmentation, and autonomous feature learning. Strong foundation in linear algebra, optimization techniques, probability, and statistics. Experience in software architecture, API design, and seamless system integration. Background in parallel programming techniques. Practical experience with vision applications in real-world projects. Join us to innovate in the field of computer vision and help shape the future of intelligent video analysis. Apply today to be part of our dynamic team!