ETL Extract Jobs in Bengaluru

Job Title: Senior Developer SQL & Snowflake Location: Bangalore, India Experience: 7+ Years (Minimum 3+ years in Snowflake) Employment Type: Full-Time Job Overview: We are seeking a highly skilled Senior Snowflake Developer to join a global financial services project for a client operating in public/private loans, CLOs, and long/short credit. The ideal candidate will bring expertise in Snowflake, SQL, Coalesce, and Fivetran, with a strong background in data integration and cloud-based data warehousing. You will be instrumental in driving forward key data initiatives and delivering innovative, scalable data solutions in a fast-paced, agile environment. Key Responsibilities: Design, develop, and optimize Snowflake objects including databases, schemas, tables, views, and stored procedures. Build and maintain Snowflake data pipelines utilizing tools like SnowSQL, SnowPipe, Streams, and Tasks. Implement data loading strategies using COPY, PUT, GET, LIST, and REMOVE commands for batch and bulk data movement. Ensure seamless migration and integration of data from Azure Cloud to Snowflake with high attention to performance and data integrity. Define and manage Snowflake roles, custom role hierarchies, masking policies, and network policies for enhanced security and governance. Use Coalesce and Fivetran for designing and managing ETL/ELT workflows that extract and transform data from MS SQL Server. Write complex T-SQL queries, stored procedures, triggers, and functions for data transformation and reporting. Collaborate closely with cross-functional teams to understand requirements and translate them into technical solutions. Participate in Agile sprints, offering technical guidance, solution design, and timely issue resolution. Required Skills & Qualifications: 8+ years of total IT experience with at least 3+ years of Snowflake development experience. In-depth understanding of Snowflake architecture, utilities, and performance optimization techniques. Strong expertise in MS SQL Server with proficiency in writing advanced T-SQL scripts. Hands-on experience with ETL tools like Coalesce and Fivetran. Proficiency in Azure Data Integration strategies and tools. Excellent problem-solving and communication skills. Experience working in an Agile development environment. Preferred Skills: Prior exposure or high-level understanding of hedge funds, private equity, or private debt domains. Familiarity with data governance and compliance requirements in financial institutions. What s on Offer: Competitive and above-market salary. Hybrid work model with flexibility. Opportunity to work on cutting-edge technology in global financial markets. Collaborative, innovation-driven team culture. Education: Bachelor s degree in Computer Science, Information Technology, Finance, Economics, or a related discipline.

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

Data Analyst Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT / Data Analytics Job Summary: We are looking for a detail-oriented Data Analyst with strong skills in SQL, Python, and Excel to extract actionable insights and optimize data pipelines on popular cloud platforms. The ideal candidate will be passionate about clean, reproducible code and thrive in a collaborative team environment. Key Responsibilities: Write efficient SQL queries and develop data extraction, transformation, and loading (ETL/ELT) pipelines on cloud platforms Automate data extraction and data insertion into Management Information Systems (MIS) using Python Analyze data sets and extract actionable business insights to support decision-making Maintain high standards of data quality and ensure reproducible, clean code Collaborate effectively with cross-functional teams and communicate findings clearly Continuously learn and adapt to new analytics tools and techniques Preferred Skills & Qualifications: Strong proficiency in SQL, Python, and Excel Experience building and optimizing data pipelines on cloud platforms such as Google Cloud Platform (GCP) Familiarity with Google BigQuery, Metabase, CleverTap, Google Data Studio, Firebase, and Google Analytics Hands-on experience with data visualization tools like Tableau and Google Data Studio Knowledge of ETL/ELT pipeline development and data flow architecture Excellent attention to detail with a passion for clean and efficient coding Strong interpersonal and communication skills to work collaboratively with diverse teams Good to Have: Experience with automated reporting and dashboard creation Prior exposure to marketing analytics tools and user behavior tracking Work with cutting-edge cloud data technologies and analytics tools Opportunity to grow your skills in data engineering and visualization Collaborative work culture focused on continuous learning and innovation

Data Scientist Experience: 5+ Years Location: Bangalore, Karnataka, India Job Type: Full Time Job Summary We are seeking an experienced Data Scientist with over 5 years of expertise to join our innovative team in Bangalore. The ideal candidate will have hands-on experience in advanced statistical methods, machine learning, and deep learning frameworks, combined with strong skills in deploying models at scale. Key Responsibilities Apply advanced Statistics and Operations Research methods to solve complex business problems. Develop and deploy predictive and machine learning models using frameworks such as PyTorch, TensorFlow, Keras, and XGBoost. Utilize data engineering and big data tools including PySpark, Databricks, and Flask for building scalable data solutions. Implement and fine-tune NLP models like RNN, LSTM, and attention-based architectures, leveraging pre-trained models from Stanford, IBM, Azure, and OpenAI. Design and optimize efficient SQL queries to extract data from large databases. Work with visualization tools like D3.js, Dash Plotly, and deploy interactive dashboards using Streamlit. Utilize graph databases such as Neo4j for complex data relationships. Manage version control with tools like GitHub or Bitbucket. Deploy machine learning models into production environments using MLOps practices on cloud platforms such as AWS or Azure. Required Skills 5+ years of professional experience as a Data Scientist or similar role. Strong foundation in statistics, machine learning, and deep learning techniques. Proficient in Python-based data science libraries and frameworks. Hands-on experience with cloud-based MLOps and deployment. Excellent SQL skills for data extraction and manipulation. Experience with version control systems and collaborative development. Familiarity with NLP techniques and modern pre-trained language models. Strong problem-solving and communication skills. Qualifications Any graduate degree in Computer Science, Statistics, Mathematics, Engineering, or related field. Join a forward-thinking company in Bangalore, where you will work with cutting-edge technologies to create impactful data-driven solutions. Grow your career in an environment that values innovation, diversity, and continuous learning.

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

Data Engineer (Python/Dataiku/Spark/SAS DI) Location: Bangalore Type of Employment: Full-Time Experience Required: 3 to 5 years Job Overview: We are looking for a passionate Data Engineer with expertise in Python, Dataiku, Spark, or SAS DI to join our dynamic team. In this role, you will collaborate with clients to build data pipelines that support their Data and Analytics journey. As a member of our team, you will be responsible for driving data engineering initiatives, developing and implementing ETL solutions, and optimizing data workflows for efficiency and scalability. Key Responsibilities: Data Engineering Initiatives: Collaborate with clients to define and implement data engineering initiatives based on business needs. ETL Development: Design and develop data integration solutions using tools like Python, Dataiku, Spark, and SAS DI. Develop and maintain automated data pipelines for real-time and batch data ingestions. Performance Tuning: Conduct performance tuning and optimize queries and data models to enhance performance and scalability. Database Design: Design and implement database objects such as tables, views, schemas, and stored procedures. Ensure data quality and consistency across the data warehouse. Collaboration: Work closely with cross-functional teams to translate business requirements into technical solutions and communicate effectively with clients across multiple regions. Troubleshooting: Troubleshoot and resolve data-related issues while ensuring the quality and integrity of the data. Project & Technical Leadership: Act as the technical lead or single point of contact (SPOC) for the client and internal teams, ensuring smooth project delivery. Essential Skills: Data Engineering Tools: Experience with Python, Dataiku, Spark, and SAS DI. SQL Proficiency: Strong SQL experience for extracting data from various databases and performing data analysis. ETL Development: Expertise in designing and developing ETL processes to integrate data from diverse sources into a data mart layer. Data Modeling: Understanding of data modeling concepts, including relational and dimensional modeling. BI Knowledge: Basic understanding of Business Intelligence (BI) tools and analytics needs. Communication Skills: Excellent communication skills to understand business requirements and translate them into technical solutions. Desirable Skills: Data Analysis: Strong analytical skills to perform data analysis, especially for banking products data. BI Tools: Experience with MicroStrategy or Power BI for reporting and dashboarding. Qualifications: 3+ years of experience designing and developing scalable data integration solutions. Familiarity with data analytics and reporting needs. Technical certifications that align with your continuous learning aspirations. Qualities: Strong problem-solving skills with a systematic approach to resolving issues. Ability to influence and implement change confidently. Excellent team player who works effectively in cross-functional teams. Strong communication and presentation skills, capable of interacting with clients and presenting ideas persuasively. Fluent in English, both written and spoken, for effective communication. Opportunity to work with cutting-edge data engineering tools and technologies. Be a key player in building and optimizing data pipelines for clients data and analytics needs. Competitive salary, benefits, and a dynamic, innovative work culture.

Job Title: Integration Engineer Location: Bangalore (On-site; Full-time) About Locus: Locus is at the forefront of revolutionizing logistics decision-making with cutting-edge deep-tech solutions that drive efficiency, transparency, and consistency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has transformed from a women's safety geo-tracking app into a globally recognized logistics optimization platform. Our technology powers enterprises such as Unilever and Nestl , enabling them to execute over a billion deliveries across 30+ countries. With a focus on innovation and sustainable growth, Locus is reshaping complex supply chains into strategic growth enablers. Join us and be part of a team that s defining the future of global logistics. Job Overview: As an Integration Engineer at Locus, you will play a key role in crafting scalable and efficient API solutions. You ll be responsible for driving technological growth, mentoring teams, and making crucial technical decisions. You will be integral in ensuring our platform s stability and efficiency as it evolves. This is an exciting opportunity for someone with deep technical expertise and the drive to work in a fast-paced, innovative environment. Key Responsibilities: Team Leadership & Mentoring: Manage and mentor the Integration Engineers, guiding them in defining integration and dataflow architectures, ensuring the development of stable APIs. API Design & Development: Design scalable and efficient APIs, ensuring they are robust, maintainable, and can evolve with changing platform technologies. Technical Assistance: Provide technical support to the Support and Implementation teams, helping resolve complex system and application issues. Cross-Functional Collaboration: Work with cross-functional teams including Engineering, Product, Pre-Sales, and Customer Success to drive integrations and technical solutions. Integration Decisions: Take charge of key technical integration decisions, ensuring alignment with business needs and technical best practices. Testing & Quality Assurance: Oversee the testing processes, ensuring the quality and stability of integrations developed by your team. Scripting & Automation: Develop API specifications and write custom scripts to fulfill internal and customer requests, utilizing programming knowledge in languages such as Python or NodeJS. Process Implementation: Define, document, and implement large-scale and high-impact integration processes. Enterprise Integration Leadership: Lead large enterprise integrations, managing complex requirements and delivering solutions. On-Call Support: Provide on-call support as needed to troubleshoot critical integration issues. Qualifications: 5-7 years of experience in system integration and API development. Strong verbal and written communication skills, with the ability to explain complex technical concepts clearly. Solid understanding of microservices framework, RESTful and SOAP APIs, JSON, XML, and related technologies. Proficient programming experience in NodeJS or Python. Ability to manage multiple integration projects and priorities effectively. Strong knowledge of relational databases and ability to write complex SQL queries. Familiarity with cloud platforms, particularly AWS and their integration services. Strong problem-solving skills, with an ability to troubleshoot and resolve complex technical issues. What We Offer: Competitive compensation and benefits. A collaborative and innovative work environment. The opportunity to work on cutting-edge logistics technology with global industry leaders. An inclusive, diverse workplace where your ideas and expertise will be valued. A dynamic and fast-paced startup environment that fosters professional growth. Locus is an equal opportunity employer, and we are dedicated to creating a diverse and inclusive workplace.

Job/Position Summary: Data Engineer Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable. Implement best practices including proper use of source control, participation in code reviews, data validation and testing. Timely deliveries while working on projects. Act as advisor/mentor and helps junior data engineers in their deliverables. Must Have Skills: Should have experience of at least 4+ years with Data Engineering. Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment. Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks. Experience in programming at least one of with Python, Java, Scala, Shell Script. Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.). Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline. Experience in working on at least one Cloud (AWS or Azure or GCP). For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR. For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI. For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio. Sound familiarity in Versioning tools (Git, SVN etc.). Experience Mentoring students is desirable. Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics. History of contribution to Open Source. Requirement: ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud

Intuit is a global leader in financial technology, dedicated to helping individuals and businesses thrive. Our suite of products, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serves approximately 100 million customers worldwide. At Intuit, we believe in providing everyone with the tools and resources they need to achieve financial success. We are constantly innovating to make financial empowerment a reality for all. Job Overview Join the Intuit Data Platform (IDP) team as a Staff Engineer and help us transform the way we handle big data! The IDP team is responsible for the Intuit Analytics Platform, which powers real-time data ingestion, cataloging, analytics, and machine learning across the entire organization. As Intuit s customer base grows, so does the volume of data we process. Our engineering excellence ensures that we can scale and leverage this data to drive machine learning and product innovations. We re in the process of building the next-generation real-time and batch ingestion engine, capable of indexing, cataloging, and organizing data and metadata. We are passionate about using open-source technologies to solve challenges and contributing back to the community. If you're excited about building a platform that will directly impact data scientists and analysts and have a desire to shape the future of data at Intuit, then come join us! Key Responsibilities Architect & Design: Build fault-tolerant and scalable big-data platforms using open-source technologies to handle massive datasets. Data Solutions: Create architecture solutions that address complex use cases like data normalization, lineage, governance, ontology, and discoverability. Cross-Team Collaboration: Work with analysts and data scientists to understand data requirements for building operational propensity models and gaining deep customer insights. Hands-On Coding: Lead development efforts within the Hadoop ecosystem using technologies such as Java MapReduce, Spark, Scala, HBase, and Hive to build and optimize data pipelines for both real-time and batch applications. Database Management: Work with NoSQL, SQL, and in-memory databases to design high-performance data systems. Code Reviews: Ensure code quality, consistency, and adherence to best practices through regular code reviews. Architectural Alignment: Ensure alignment between enterprise architecture and business requirements. Prove Feasibility: Conduct proof-of-concept (POC) experiments for new technologies or approaches and drive them to production. Collaboration with Data Cataloging Team: Work closely with data catalog teams and architects to index and catalog all data sources at Intuit. Agile Leadership: Lead fast-paced development teams using agile methodologies and promote best practices in software development, testing, and incident response. Design & Model: Build dimension models suited for customer business use cases and ensure seamless integration of business and technical requirements. Qualifications Experience: 12+ years of relevant experience, with at least 5+ years specializing in the big data domain. Big Data Architecture: Proven experience in architecting end-to-end ecosystems for big data and analytics platforms. Expert Knowledge: Deep expertise in building fault-tolerant, scalable big data solutions, especially using the Hadoop ecosystem (Hive, HBase, Spark, Kafka, MapReduce, etc.). Programming Expertise: Mastery of Java and Scala, with a focus on building high-throughput data services. Machine Learning: Knowledge of machine learning principles and AI applications in big data. Big-Data Technologies: Familiarity with tools such as HDFS, Storm, Zookeeper, Cassandra, Redshift, GraphDB, and others. Understanding both real-time and batch processing in the Hadoop ecosystem. Communication: Strong communication skills, with an ability to explain complex technical topics to both technical and non-technical audiences. Programming Skills: Intermediate experience in Python or R for data processing. Education: BE/BTech/MS in Computer Science or a related field (or equivalent experience). Collaboration: Demonstrated ability to work cross-functionally and lead change through influence and example. At Intuit, you ll be part of a talented, passionate team working on innovative solutions that shape the future of data analytics and machine learning. As a Staff Engineer, you ll have the chance to work with cutting-edge technologies, build scalable systems, and help revolutionize how Intuit leverages data to drive product innovation. If you're looking for a dynamic environment where you can have a meaningful impact, come join us at Intuit! Qualification : BE/BTech/MS in Computer Science (or equivalent)

Job Title: Data Engineer Job Summary As a Data Engineer in the IT team, you will work on various big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help business to get most value out of their data. The Impact You Will Have You will work on a variety of impactful Big Data projects which may include building reference architectures, how-to's and production grade MVPs. Work on implementing transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work on architecture and design; bootstrap or implement strategic projects. What We Look For 7+ years experience with Big Data Technologies such as Apache Spark , Kafka, Cloud Native and Data Lakes. 4+ years of experience working on Big Data Architectures independently. Preferred experience working in the Databricks ecosystem. Comfortable writing code in either Python or Scala. Experience working across Cloud Platforms (GCP / AWS / Azure). Documentation and white-boarding skills. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Job Title: Senior Cloud Data Engineer Experience: 10+ Years Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. It brings together leading expertise in strategy, technology, data science, and creative design to help CxOs reimagine their businesses. We are a global business line dedicated to helping organizations envision and build what s next. Your Role: As a Senior Cloud Data Engineer at Capgemini Invent, you will design, develop, and maintain scalable data pipelines using advanced cloud technologies to ensure smooth data integration and efficient workflows. You will collaborate with cross-functional teams to deliver robust and optimized data solutions while ensuring compliance and security throughout the process. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services. Optimize data storage and retrieval processes to ensure efficiency and accessibility. Ensure data security and compliance with industry standards, including data privacy laws. Manage large volumes of data, focusing on accuracy, integrity, and secure accessibility. Develop and refine data processes for data modeling, mining, and production. Implement quality checks, data validation, and monitoring of data flows. Collaborate with data scientists, analysts, and IT teams to meet data requirements. Work closely with data architects and modelers on project objectives and solutions. Troubleshoot and resolve issues in data pipelines, ensuring performance tuning and optimization. Develop and implement disaster recovery procedures to safeguard data. Ensure seamless integration of HR and other business data into cloud-based environments. Research new opportunities for data acquisition and discover additional uses for existing data. Stay up-to-date with the latest cloud technologies, data management practices, and trends, including Generative AI. Recommend and implement improvements to enhance data reliability, efficiency, and quality. Your Profile: 10+ years of experience in cloud data engineering. Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data pipeline tools like Apache Spark, AWS Glue, or similar technologies. Strong programming skills in Python, SQL, Java, or Scala. Familiarity with Snowflake, Informatica, or similar tools is an advantage. In-depth knowledge of data privacy laws, security best practices, and data governance. Expertise in analyzing and interpreting complex datasets to derive actionable insights. Strong communication, collaboration, and problem-solving skills. Knowledge of database technologies, including SQL, Big Data, and Cloud-based systems. Passion for learning and keeping up with emerging technologies, particularly in Generative AI. Experience working in an Agile framework and managing multiple projects simultaneously. Ability to adapt to evolving priorities and business needs. What You Will Love About Working Here: Flexibility: Enjoy flexible work arrangements such as remote work or flexible hours, ensuring a healthy work-life balance. Career Growth: We offer numerous opportunities for career advancement and personal development, helping you explore diverse paths and expand your skills. Certifications & Learning: Gain valuable certifications in cutting-edge technologies, including Generative AI, to stay ahead of the curve. About Capgemini: Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world. With a team of 340,000 professionals in over 50 countries, we are dedicated to making a tangible impact on enterprises and society. Trusted by clients for over 55 years, Capgemini uses its deep industry expertise and cutting-edge technologies such as AI, cloud, and data to unlock the full potential of businesses worldwide. In 2023, the group reported global revenues of 22.5 billion.

Data Scientist Role Overview We are looking for a Data Scientist with a strong foundation in Python, hands-on experience with machine learning techniques, and excellent communication skills. The ideal candidate will work on data-driven solutions, develop predictive models, and collaborate with cross-functional teams to translate business challenges into actionable insights. Key Responsibilities Data Analysis & Modeling Conduct in-depth data analysis to identify trends and patterns. Develop and implement predictive models using ML algorithms (regression, classification, clustering, decision trees, neural networks). Utilize statistical techniques to derive insights and drive business decisions. Data Pipeline & Deployment Build and deploy ETL pipelines to extract, transform, and load data from multiple sources. Optimize machine learning models for efficiency and scalability. Collaboration & Communication Work closely with business stakeholders, engineers, and analysts to understand challenges and propose data-driven solutions. Effectively communicate complex technical concepts to both technical and non-technical audiences. Present findings using data visualization tools. Continuous Learning & Innovation Stay updated on the latest advancements in ML, AI, and data science. Contribute to the development and improvement of the data science infrastructure. Required Skills & Qualifications Technical Expertise: Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch). Experience with ML techniques (regression, classification, clustering). Solid understanding of statistical concepts and data analysis methodologies. Experience with data visualization and presentation tools. Soft Skills & Communication: Strong problem-solving and critical-thinking abilities. Excellent communication and interpersonal skills. Ability to work independently and in teams. Educational Background: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Preferred Skills (Nice to Have) Experience with cloud computing platforms (AWS, Azure, GCP). Exposure to big data technologies (Hadoop, Spark). Proficiency in data visualization tools (Tableau, Power BI). Master s degree in a relevant field. Apply Now & Be Part of an Innovative Data Science Team! Qualification : Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

Skills Required: Should have a minimum 6+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally and technical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources. Design, build and maintain batch or real-time data pipelines in production. Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources. Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases. Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow, Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud. Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc. Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce). Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc. Experience in Insurance domain preferred.

We are looking for world-class Data Architects to join our Global field teams whose technical skills and customer savvy will help customers understand and utilize the value of the cutting-edge data platform that we are building. They must share our passion about reinventing the data platform and thrive in a dynamic environment. The Data Architect will work hand-in-hand with Sales, Product, Engineering, and Marketing. The Data Architect will be responsible for providing the technical expertise to make Snowflake customers successful. This data architect will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. He/she will have the insight to make the connection between a customer s specific business problems and Snowflake s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. This is a hands-on, individual contributor role with high visibility across the organization. The Data Architect has the willingness to jump in and do what it takes to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. They should work collaboratively with a broad range of people, both inside and outside the company. RESPONSIBILITIES: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake s products and marketing Be an advocate and develop mutual trust with the technical audience on the customer side Run training sessions, workshops, webinars to help customers become proficient in Snowflake Keeping customers up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits Run technical enablement programs to provide best practices, and solution design workshops to help customers create effective solutions Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging. Sharing customer success stories & case studies to showcase the impact of Snowflake REQUIREMENTS: Minimum 15+ years of experience working in customer facing sales engineering (tech sales) role University degree in computer science, engineering, mathematics or related fields, or equivalent experience Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps Outstanding skills presenting to both technical and executive audiences, in small groups or at public events, whether impromptu on a whiteboard or using presentations and demos. Hands-on expertise with SQL and Python Experience working with GSIs or Global capability centers Industry experience in either BFSI, Technology or HCLS domains Experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) Presales experience in data related tech products Sound understanding and experience in the enterprise market and technology ecosystem ADDED BONUS FOR: Data Science/AI/ML experience across a variety of platforms Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc). Cloud Provider Experience - Amazon AWS/Microsoft Azure/Google Cloud OLAP Data modeling and data architecture experience Experience selling enterprise SaaS software. Qualification : University degree in computer science, engineering, mathematics or related fields, or equivalent experience

Job Title: Analyst Power BI Developer Career Level - C Introduction to role Accountabilities Power BI Reporting and Analytics: Build interactive dashboards and visualizations to communicate key metrics and insights. Perform advanced data modeling, implement RLS (Row-Level Security), and develop robust DAX calculations. Integrate data from multiple sources into cohesive Power BI datasets. Proficient in SQL & Data warehousing concepts. Knowledge of other Power platform tools. Power Apps Development: Design and implement user-friendly applications using Power Apps. Ensure seamless data connectivity with SharePoint, SQL Server, and other data sources. Enable low-code/no-code solutions for business workflows. Workflow Automation with Power Automate: Automate recurring tasks and workflows, improving process efficiency. Develop custom connectors and flow logic tailored to business needs. Monitor and troubleshoot workflow automation for reliability. Testing & Documentation: Experience in SIT & test case documentation. SOP & TDD document creation. Presentation and storytelling skillset. Stakeholder Collaboration: Partner with business teams to gather requirements and deliver solutions. Document methodologies, workflows, and best practices for internal reference. Essential Skills/Experience Expertise in Power BI Report development. Advanced proficiency in Power BI, including data modeling, Power Query, and DAX. Knowledge of Power Apps and ability to develop scalable applications. Workflow design and troubleshooting experience with Power Automate. Proficiency in SQL for data extraction and transformation. Familiarity with SharePoint, cloud-based services (Azure, AWS, etc.), and their integration. Strong problem-solving and analytical skills with attention to detail. Excellent written and verbal communication skills. Desirable Skills/Experience Professional experience in Business Intelligence with at least 4 years hands-on experience with Power BI. Proven track record of different Power BI use cases. A certification is desired. A very good knowledge of user experience design for BI solutions allowing to suggest possible design options in the prototyping phase. Ability to understand and translate business ideas into dashboard solutions as well as to appropriately communicate with business stakeholders directly. Knowledge and usage of neighboring Microsoft applications like Power Apps and Power Automate - is of advantage. First team lead experience / playing the role of senior point of contact among multiple BI developers required. In-depth knowledge of working with different data sets under best practice approaches required (master keys, key linkage, star schema, etc). Advanced SQL skills for data exploration and data testing. An ability to detect challenges early and to raise it. Attention to detail to ensure any reports released have accurate data. A proactive approach and focus on team success. A strong command of English and effective communication skills. Excellent analytical and logical thinking. Highly motivated self-starter, driven for results, effective at prioritizing and managing multiple tasks concurrently. Good communication and presentation skills. Ability to work independently. Ability to manage multiple tasks simultaneously. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, you'll be part of a team of specialists essential to our growth. We value entrepreneurial thinking and innovation, empowering you to make an impact in a dynamic environment. Our global network fosters collaboration, ensuring we leverage our combined expertise to drive change. We invest in your growth, offering opportunities to deepen your expertise or explore new areas. Here, your work contributes to patients' lives, society, and our planet. AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. 50200223 C ITSE Qualification : Professional experience in Business Intelligence with at least 4 years hands-on experience with Power BI.

Senior Data Engineer Enterprise Data Platform Location: Bengaluru Department: Business Technology Data Engineering Experience: 5+ Years Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower people to securely use any technology, anywhere, on any device. Through our Okta and Auth0 platforms, we provide secure access, authentication, and automation placing identity at the center of security and growth for thousands of organizations. We value diverse perspectives and lifelong learners. We re not looking for someone who checks every box we re looking for someone who will make us better with their unique experiences. Team: Business Technology Data Engineering The Data Engineering team at Okta supports cross-functional partners by building scalable, secure, and high-performing platforms. These platforms power decision-making and business processes across sales, marketing, engineering, finance, product, and operations. As part of this team, you ll contribute to data solutions that fuel Okta s hyper-growth. You will have the opportunity to work with cutting-edge technologies in cloud infrastructure, data lakes, automation, and CI/CD pipelines. The Role: Senior Data Engineer As a Senior Data Engineer, you will design, build, and manage modern data pipelines, infrastructure, and automation frameworks. You ll help scale our enterprise data platform using tools such as Snowflake, dbt, Airflow, Databricks, and AWS, while ensuring security, observability, and performance. You ll also contribute to CI/CD pipelines, infrastructure as code (IaC), and secure development lifecycle practices, enabling consistent, efficient, and secure delivery of data solutions. Key Responsibilities Platform Development & Infrastructure Design and maintain scalable data pipelines and platforms using Snowflake, AWS, Databricks, dbt, and Airflow. Manage infrastructure with Terraform, enabling repeatable and consistent deployments. Develop and maintain robust CI/CD pipelines using GitHub Actions, GitLab, or Jenkins. Containerize data services using Docker for better scalability and portability. Security & Compliance Implement and enforce secure development lifecycle practices, integrating tools like DAST, SAST, SCA, and Secret Scanning into pipelines. Conduct vulnerability scanning and apply patches to ensure system integrity. Ensure data security and compliance with industry standards and regulations. Collaboration & Innovation Collaborate with data engineers, data scientists, and analysts across business units to ensure data availability and integrity. Identify opportunities for automation and optimization within the data platform. Stay updated on emerging technologies and drive adoption of best practices. Must-Have Skills Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in data engineering, including: Advanced SQL and ETL development with Airflow and dbt. Experience with data warehouses such as Snowflake, Redshift, or BigQuery. Strong hands-on experience with AWS (S3, Lambda, EC2, EMR, EKS). 2+ years of experience managing CI/CD pipelines using tools like GitHub Actions, GitLab, Jenkins, or ArgoCD. Experience with Terraform and Docker. Proficiency in backend languages such as Python, Java, or Go. Preferred Skills Experience with lakehouse architectures like Databricks, including knowledge of Delta Lake and Apache Iceberg. Background in infrastructure security, vulnerability management, and observability tooling. High Impact: Help build and scale the data platform that powers Okta s global business. Cutting-Edge Stack: Work with best-in-class technologies like AWS, Snowflake, dbt, Terraform, and Databricks. Collaborative Culture: Join a diverse, inclusive, and globally distributed team that values knowledge sharing and continuous learning. Career Growth: Shape the future of Okta s data engineering practice while expanding your technical and leadership skills. Bring your passion for data, cloud, and automation and let s shape the future of secure, scalable enterprise data platforms together. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Position: Data Analyst 3 Location: Bengaluru Department: Growth & Strategy Employment Type: Full-Time Job Description: We are seeking an experienced Data Analyst to develop and maintain interactive dashboards, design data models, and extract actionable insights to support strategic business decisions. This role requires proficiency in Tableau and/or Qlik Sense and the ability to lead a team of analysts. Key Responsibilities: Develop, maintain, and enhance interactive dashboards and reports using Tableau and/or Qlik Sense. Design and implement efficient data models to underpin visualizations and analytical processes. Analyze data from multiple sources to identify trends, patterns, and actionable insights. Write scripts and utilize calculated fields to transform and manipulate data within visualization platforms. Migrate dashboards between platforms (e.g., Qlik Sense to Tableau) as needed. Adhere to best practices in data visualization, dashboard design, and data modeling. Communicate findings effectively to stakeholders and collaborate with cross-functional teams such as sales, marketing, and engineering. Mentor and lead a team of data analysts, fostering growth and knowledge sharing. Required Skills and Experience: Minimum 4 years of relevant experience in data analysis and visualization. Proficiency in Tableau and/or Qlik Sense, including scripting and calculated fields. Strong data modeling skills and experience with relational databases (e.g., SQL Server, Oracle). Excellent analytical and problem-solving abilities. Outstanding communication and presentation skills. Industry experience in Fintech, Payments, Finance, Banking, Digital Commerce, Healthcare, or related sectors is a plus. Who You Are: A problem-solver with a knack for uncovering insights from complex data sets. An excellent communicator, able to explain data-driven insights clearly and effectively. Hands-on and proactive, committed to staying updated with the latest tools and technologies. A respected team player and leader known for your analytical depth and influence.

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

Position: Business Technology Data Engineer Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in the Connected Operations Cloud, enabling businesses across industries like transportation, logistics, manufacturing, and field services to harness IoT data for safety, efficiency, and sustainability improvements. Samsara helps organizations digitize physical operations at scale, improving outcomes that impact global infrastructure. Role Overview Samsara is seeking a Business Technology Data Engineer to join its Data & Analytics team within the Business Technology division. In this role, you will design, build, and optimize end-to-end data pipelines and infrastructure for various business-critical systems across CRM, marketing, support, and product platforms. You'll collaborate with teams across the company to build reliable and scalable data solutions that power reporting, automation, and analytics. This hybrid role requires working 3 days per week from the Bengaluru office and 2 days remotely, with working hours aligned to India Standard Time (IST). Key Responsibilities Data Engineering & Platform Development Design and maintain ETL/ELT pipelines that integrate and transform data across business systems. Build scalable data infrastructure to support advanced analytics and real-time reporting needs. Write Python and SQL scripts for data ingestion, transformation, and validation. Data Integration & Enablement Work with diverse data sources: CRM, product telemetry, marketing automation, support ticketing, and order flow systems. Develop and support data lake and data warehouse solutions using Snowflake, Redshift, Databricks, or BigQuery. Ensure interoperability between applications and data layers. Performance & Quality Monitor and optimize pipeline performance, implement observability and alerting. Improve data quality, lineage, and governance across systems. Partner with internal stakeholders (e.g., Sales Ops, Marketing Ops, Analytics) to deliver reliable data products. Minimum Qualifications Bachelor s degree in Computer Science, Data Engineering, or related field. 5+ years of professional experience in data engineering. 3+ years experience building and maintaining end-to-end pipelines in a modern data stack. Strong in SQL and Python. Hands-on experience with: ETL tools: Fivetran, dbt Cloud: AWS (preferred), GCP, or Azure Databases: MySQL, PostgreSQL, Oracle, or similar Data Warehouses: Snowflake, Redshift, BigQuery, Databricks Preferred Qualifications Familiarity with API-based ingestion, serverless architecture (Lambda, API Gateway, SQS, etc.). Experience with monitoring tools (DataDog, CloudWatch, Splunk). Comfortable engaging stakeholders to translate business needs into data solutions. Proficiency in Docker, Kubernetes, or AWS Fargate is a plus. Qualification : Bachelors degree in Computer Science, Data Engineering, or related field

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies