Data Security Jobs in Bengaluru

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

Job Title: Manager - Data Analytics, Credit Card Portfolios Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a next-gen banking technology company empowering banks and fintechs to build the future of financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform Zeta Tachyon is a cloud-native, fully API-enabled banking stack powering issuance, processing, lending, core banking, fraud & risk, and more. Over 20 million cards have been issued globally through our platform. With 1,700+ employees across the US, EMEA, and Asia and 70%+ in R&D, Zeta is backed by SoftBank, Mastercard, and others, having raised $330M at a $2B valuation in 2025. We work with leading banks and fintechs worldwide to transform multi-million card portfolios. Role Overview: We are looking for a strategic and experienced Manager - Data Analytics to lead business intelligence and enterprise reporting for global fintech portfolios including Credit Cards, Deposits, and other financial products. This role involves managing a team of analysts, leveraging multiple data lakes and warehouses, and building a scalable, comprehensive reporting framework for diverse markets including the US, UK, and India. Key Responsibilities: Enterprise Reporting & Data Architecture: Design and maintain end-to-end reporting across the customer lifecycle: acquisition, activation, usage, delinquency, collections, retention, operations, and support. Deliver accurate analysis of key financial KPIs: revenue, profitability, credit risk, defaults, acquisition cost. Build dashboards, self-service BI tools, and automated pipelines using Apache Superset, Metabase, Tableau. Optimize data storage and reporting for scalability and cost-efficiency. Data Integration & Analytics Execution: Collaborate with vendors and internal engineering to integrate data from credit bureaus, open banking, core banking, card and payment processors, loan origination, CCaaS, and aggregators into a centralized Data Lake. Business Intelligence & Growth: Lead analytics projects to uncover user behavior, optimize acquisition channels, underwriting, and portfolio performance via segmentation, cohort, and funnel analyses. Partner with Product and Marketing teams to evaluate experiments (A/B testing) and guide roadmap decisions. Leadership: Build, mentor, and lead a high-performing team of BI analysts and data visualization experts. Data Governance: Establish and enforce data governance best practices, ensuring compliance and data security. Skills & Experience: Expert in BI tools such as Apache Superset, Metabase, Tableau; strong SQL skills. Familiarity with cloud data platforms like Snowflake, Redshift, BigQuery. Deep knowledge of credit and fintech KPIs: acquisition, credit decisioning, delinquency, repayment, charge-offs, profitability, RoA, CLTV, etc. Proven leadership experience managing analytics teams and scaling reporting infrastructures. Excellent communication skills with the ability to translate complex data into business strategies. Knowledge of data governance, privacy, and security in financial services. Qualifications: 10+ years in Business Intelligence/Analytics with 3+ years in the credit card industry. 3+ years managing teams of analysts or data professionals. Bachelor s degree in Computer Science, Engineering, Statistics, or a related field. Equal Opportunity: Zeta celebrates diversity and is an equal opportunity employer. We are committed to fostering an inclusive environment and encourage candidates from all backgrounds to apply. Qualification : Bachelors degree in Computer Science, Engineering, Statistics, or a related field

Position: Snowflake Data Engineer Location: Remote/Hybrid | Bengaluru, IND What You'll Do: Design & Optimize Data Pipelines: Build and enhance data pipelines and workflows using Snowflake, Azure, and DBT for efficient data ingestion, transformation, and analytics. Boost Performance: Optimize query performance and data storage within Snowflake to ensure lightning-fast data processing and retrieval. Implement ETL/ELT: Design and implement robust ETL/ELT processes, fully leveraging Snowflake's powerful capabilities for data ingestion and transformation. Collaborate Cross-Functionally: Work closely with various teams to understand their data needs and deliver high-quality, scalable data solutions. Ensure Data Governance: Uphold stringent data security, compliance, and governance standards, including data privacy and regulatory requirements. What You'll Bring: Experience: 4-10 years in data engineering, with a minimum of 3 years directly with Snowflake. SQL Mastery: Expert-level proficiency in SQL, including advanced querying, performance tuning, and data modeling. Deep Snowflake Knowledge: In-depth understanding of Snowflake architecture, features, and best practices for optimization and data management. Data Warehousing: Strong grasp of data warehousing concepts and dimensional modeling. Microsoft Technologies: Familiarity with Microsoft SSIS, SSAS, and SSMS. IaC & CI/CD: Knowledge of Infrastructure as Code (IaC) tools like Terraform and experience with GitHub Actions for CI/CD. Workflow Orchestration: Experience with tools like Airflow for managing and automating data workflows. Problem-Solving & Communication: A proactive, positive attitude with excellent written and verbal communication skills. Education: Bachelor s degree in Computer Science, Information Systems, or a related field. Bonus Points If You Have: Migration Experience: Hands-on experience with SQL Server to Snowflake migrations, especially using Fivetran. DBT & Fivetran: Proficiency with the data build tool (dbt) for data transformation and Fivetran for data integration. Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or GCP. Certifications: Relevant certifications like Snowflake SnowPro, AWS Certified Data Analytics, or Azure Data Engineer.

Position: Data Architect Location: Remote/Hybrid | Bengaluru, IND We're searching for a highly skilled and experienced Data Architect to join our team. If you have a deep understanding of big data technologies and extensive experience with Hadoop, Python, Snowflake, and Databricks, you're the ideal candidate. You'll be responsible for designing, implementing, and managing complex data architectures that support our critical business needs and objectives. What You'll Do: Design & Architecture Leadership: Design scalable and efficient data architecture solutions that meet current and future business data needs. Lead the development of data models, schemas, and databases, ensuring alignment with business requirements. Architect and implement robust data solutions on leading cloud platforms (AWS, Azure, or GCP). Data Management & Governance: Develop and maintain robust data pipelines and ETL processes using Hadoop, Databricks, and other essential tools. Oversee data integration and quality efforts to ensure consistency and reliability across the organization. Implement data governance best practices, focusing on data security, privacy, and compliance. Collaboration & Mentorship: Work closely with data engineers, data scientists, and business stakeholders to translate data requirements into effective technical solutions. Provide technical leadership and mentorship to junior data engineers and architects. Collaborate with cross-functional teams to ensure data solutions align perfectly with overall business goals. Optimization & Innovation: Optimize existing data architectures for peak performance, scalability, and cost-efficiency. Monitor and troubleshoot data systems to ensure high availability and reliability. Continuously evaluate and recommend new tools and technologies to improve our data architecture. What You'll Bring: Experience: 10+ years in data architecture, data engineering, or a related field. Big Data Expertise: Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase). Programming Prowess: Strong programming skills in Python for data processing and automation. Data Platform Mastery: Hands-on experience with Snowflake for data warehousing and Databricks for analytics. Cloud Fluency: Extensive experience with cloud platforms (AWS, Azure, GCP) and their data services. Data Modeling: Familiarity with data modeling tools and methodologies. Core Skills: Deep understanding of big data technologies and distributed computing. Strong problem-solving skills to design solutions for complex data challenges. Excellent communication skills, able to explain complex technical concepts clearly to diverse audiences. Proficient in SQL and database performance tuning. Experience with CI/CD pipelines and automation in data environments. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred Qualifications: Advanced Degree: A Master's degree in a related field. Cloud Certifications: Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate. Additional Languages: Experience with other programming languages like Java or Scala. Machine Learning Integration: Knowledge of machine learning frameworks and their integration with data pipelines.

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, 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

Director Data Management (Data Migration & Automation) Location: Bangalore, India About MaxVal Founded in 2004, MaxVal is a pioneer in IP services focused on efficiency, cost-effectiveness, and continuous improvement driven by metrics-based processes. Our technology-driven IP solutions serve over 600 clients globally. With a talented team of 725+ IP and tech experts, MaxVal continuously innovates to deliver exceptional customer and employee success. Job Summary MaxVal is looking for an experienced and visionary Director of Data Migration and Automation to lead our data migration initiatives. You will oversee migrating data from various IP solutions to our software platform, ensuring accuracy, integrity, and efficiency through automation. This leadership role requires strategic thinking, strong domain expertise in Intellectual Property, and the ability to inspire and guide a team of specialists. Key Responsibilities Team Leadership & Management Lead, mentor, and empower a team of Data Migration specialists, ensuring resources and guidance for successful project delivery. Cultivate a collaborative, client-centric culture within the team. Data Mapping & Transformation Design comprehensive data mapping and transformation plans aligning external IP data with MaxVal s platform. Maintain data integrity and consistency throughout migration. Competitor Data Analysis Analyze competitor IP data structures and models to inform effective migration strategies. Automation System Development Architect and develop automation solutions to streamline migration workflows, including data mapping and transformation. Create processes and scripts to automate repetitive tasks and enhance efficiency. IP Domain Expertise Utilize deep knowledge of IP data types (patents, trademarks, copyrights, legal entities). Collaborate with legal experts to ensure precise migration of IP information. Technical Integration & Customization Partner with technical teams to embed automation into migration workflows. Customize automation tools to accommodate unique IP and legacy system requirements. Quality Assurance & Testing Define QA protocols specific to IP data migration. Conduct thorough testing to validate data accuracy and completeness. Stakeholder Engagement Interface with clients to understand migration needs and challenges. Offer expert recommendations to achieve successful migration aligned with client goals. Continuous Learning & Innovation Stay abreast of industry trends, best practices, and emerging technologies in data migration and automation. Drive continuous improvements in automation and migration efficiency. Cross-Functional Collaboration Work closely with product, engineering, and client-facing teams to ensure migration success and contribute to product enhancements. Documentation & Knowledge Sharing Maintain detailed documentation of migration processes and automation workflows. Lead workshops and training to disseminate best practices internally and to clients. Requirements Experience: 15+ years leading data migration projects in software implementations. 10+ years in leadership roles managing and mentoring teams. Expertise: Strong knowledge of data migration methodologies, tools, and best practices. Familiarity with automation tools, database management, and data integration platforms. Deep understanding of the Intellectual Property domain is highly preferred. Skills: Strategic leadership with excellent communication and stakeholder management skills. Ability to drive innovation and build scalable automation solutions.

Senior Data Engineer Location: Bengaluru Department: Global Strategic Services Data Engineering EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation. Our platforms Cognite Data Fusion and Cognite Atlas AI enable companies across Energy, Utilities, Manufacturing, and Chemicals to solve complex challenges using AI, contextual data, and automation. Cognite is backed by top-tier investors and recognized with global innovation awards. Our Values Impact: We deliver results that matter. Ownership: We take initiative, act inclusively, and embrace accountability. Relentless: We pursue excellence and innovation with resilience. About the Role As a Senior Data Engineer, you ll lead the development of scalable data solutions that empower critical industries to make informed decisions. You ll work on high-impact projects across regions, collaborating with solution architects, data scientists, and product teams. This is a growth role with room to influence product direction and mentor junior engineers. Key Responsibilities Architect and implement robust data pipelines using Cognite Data Fusion, Python, SQL, and REST APIs. Lead integrations, data modeling, and transformation tasks using cloud-native technologies. Design custom data models for discovery, mapping, and cleansing industrial data. Collaborate closely with cross-functional teams to deliver digital solutions. Conduct code reviews and champion engineering best practices. Contribute to Cognite s SDKs and internal tools. Translate customer use cases into scalable, reusable data engineering frameworks. Mentor team members and support customer onboarding when needed. What You ll Bring Bachelor s or Master s in Computer Science or related field (or equivalent experience). 5+ years in a data-intensive, customer-facing engineering role. Expertise in Python, SQL, REST APIs, and pipeline orchestration. Experience with distributed computing, Kubernetes, and cloud platforms (Azure, GCP). Familiarity with data from industrial domains like oil & gas or manufacturing is a plus. Strong DevOps mindset with hands-on experience in Git, CI/CD, and deployments. Proactive and collaborative; able to work independently and solve complex challenges. A growth mindset with willingness to ask for help and share knowledge openly. Be part of a global team spanning 70+ nationalities with strong DEI focus. Work at our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Enjoy flat hierarchy, fast decision-making, and high ownership culture. Collaborate with world-class professionals on industry-transforming projects. Shape the future of industrial data and drive real-world impact at scale. If you re passionate about solving meaningful problems with cutting-edge data technologies, apply today. We welcome applicants from all backgrounds and experiences you might be the perfect fit, even if you don t meet every single requirement. Qualification : Bachelors or Masters in Computer Science or related field (or equivalent experience).

Lead Sales Data Operations Location: Bangalore, India (On-site) About Rubrik Rubrik is the fastest-growing enterprise startup in Silicon Valley, revolutionizing cloud data management. Following our IPO in April 2024, we reached $1B ARR with 38% YoY growth as of Q3 2025. Leveraging AI and cutting-edge technology, we solve complex challenges to drive innovation and efficiency across sales and beyond. About the Role Rubrik is seeking a proactive and detail-oriented Sales Data Operations Lead to oversee and elevate data management practices within our Bangalore office. This leadership role will involve managing a team of Data Operations Analysts, driving data governance initiatives, and exploring AI-powered solutions to enhance data quality and operational efficiency. If you thrive in a fast-paced environment and are passionate about maintaining clean, accurate sales data, this role offers a unique opportunity to impact the future of data-driven sales operations. Key Responsibilities Leadership & Team Management Lead, mentor, and support a team of 2-3 Data Operations Analysts. Foster a high-performing, collaborative team environment. Delegate tasks effectively and provide performance feedback to meet goals. Data Quality & Maintenance Oversee CRM data entry and ensure accuracy and timeliness of account records. Utilize enrichment tools like D&B Hoovers and ZoomInfo for data validation. Regularly clean duplicate records, merge accounts, and update outdated information. Manage data change request queues while adhering to SLAs. Conduct audits to detect and resolve data inconsistencies. Cross-Functional Collaboration Work closely with Marketing, Customer Support, and IT teams to align on data governance policies. Lead monthly Data Operations status meetings with key stakeholders. Actively gather and incorporate feedback to improve data processes. Data Governance & Continuous Improvement Analyze root causes of data quality issues and implement corrective measures. Innovate and implement solutions for improved data management. Reporting & Documentation Maintain records of data maintenance activities and audit results. Prepare regular reports on data quality and operational metrics for senior leadership. Document processes clearly to support audits and team training. Required Qualifications 5+ years experience with Salesforce Sales Cloud and sales data operations. Minimum 3 years managing small teams (2-5 analysts). Strong expertise in data governance and quality tools such as ZoomInfo and D&B Hoovers. Detail-oriented with exceptional organizational and time management skills. Experience with CRMFusion DemandTools is a plus. Excellent collaboration, analytical, and problem-solving skills. Strong written and verbal communication skills in English. Proactive, innovative approach to process improvement. Bachelor s degree or equivalent experience. Reporting This role reports to the Director of Sales Process & Systems based at Rubrik s US headquarters. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Through Zero Trust Data Security , we enable organizations to build resilience against cyberattacks, insider threats, and operational disruptions. Powered by machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and rapid recovery in any scenario.

Pipeline and GTM Senior Data Analyst Location: Bangalore, India About the Role Rubrik s Pipeline & GTM Strategy and Analytics team seeks a Senior Pipeline and GTM Data Analyst to ensure high-quality data for pipeline development, measurement, and operational efficiency. Reporting to the Senior Manager of Pipeline & GTM Strategy and Analytics, you will play a key role in pipeline analytics, dashboard creation, and providing operational support for the Sales Development Representative (SDR) team. Your analytical expertise will empower data-driven decisions to accelerate growth. Key Responsibilities SDR Operations Support: Support territory and quota planning to grow the Inside Sales organization and drive revenue. Analyze strategic funnel metrics and measure sales performance. Administer and optimize sales tools like Salesforce (SFDC), Outreach, ZoomInfo, LinkedIn Sales Navigator, and more. Enhance lead routing and customer-facing messaging processes. Collaborate with Sales, Marketing, and IT teams to improve lead qualification and pipeline growth. Use data-driven insights to improve Inside Sales functions, incorporating input from cross-functional teams such as Marketing and Finance. Analytics & Reporting: Build, prepare, and analyze reports to support pipeline analytics and special projects that drive pipeline growth (PG) attainment. Create and maintain real-time dashboards for actionable insights. Validate and ensure data quality for SDR and pipeline dashboards. Continuous Improvement & Innovation: Enhance data management processes for improved efficiency and accuracy. Stay current with industry best practices in data analytics and management. Implement new tools and techniques for better data preparation and validation. Cross-Functional Collaboration: Facilitate smooth communication between SDR Operations and Analytics teams. Provide accurate, timely data to all relevant teams for informed decision-making. Participate in team meetings, offering data-driven recommendations. Required Skills and Experience 5+ years in Sales Operations, Strategy, or a related analytical role. Bachelor s degree or equivalent practical experience. Strong communication skills (written and oral). Self-starter with the ability to work independently and collaborate across all business levels. Salesforce (SFDC) administration experience. Advanced proficiency in Microsoft Excel or Google Sheets, including complex modeling and robust analysis. Experience with Microsoft Office suite (Word, Excel, PowerPoint, Outlook). Skilled in data visualization tools such as Tableau, PowerBI, or similar. Comfortable managing and analyzing large datasets. Preferred: Experience with SQL and/or Python for data querying and automation. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations build resilience against cyberattacks, insider threats, and operational disruptions. Our AI-powered Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications, ensuring integrity, availability, and rapid business recovery.

Data Privacy Compliance Specialist Location: Bangalore, India Office About the Team Rubrik s Legal Team is at the heart of our mission to secure the world s data. We provide essential guidance across contract management, intellectual property, employment law, privacy, trade compliance, and litigation. Our team thrives on open debate, innovation, and ownership, contributing to building an iconic company. Rubrik is growing rapidly and evolving join us to be unstoppable, together. About the Role Rubrik is looking for a Data Privacy Compliance Specialist to strengthen and manage our global privacy program. The ideal candidate will have hands-on experience with privacy management accountability frameworks (PMAF), compliance auditing, and implementing data protection practices aligned with evolving global regulations. This role requires working collaboratively across procurement, engineering, product management, legal, and information security teams worldwide to maintain compliance and mitigate privacy risks. What You ll Do Conduct internal and coordinate external privacy audits as needed. Assess and monitor privacy compliance of third-party vendors and service providers. Continuously review data handling practices to ensure compliance with internal policies and global regulations. Develop, maintain, and enforce data privacy policies and procedures aligned with legal requirements and business objectives. Maintain detailed documentation to demonstrate compliance and accountability. Manage and update an inventory of personal data processing activities, including data flows and classifications. Oversee cross-border data transfer mechanisms ensuring adherence to applicable privacy laws. Lead internal privacy reviews, supporting engineering and data governance teams with data mapping, documentation, and privacy impact assessments. Collaborate with teams to implement privacy risk mitigation solutions while ensuring regulatory adherence. Develop and deliver privacy training to internal stakeholders to raise awareness and ensure compliance with privacy responsibilities. Experience You ll Need Minimum 3+ years of experience in data privacy compliance, preferably with exposure to Privacy Management Accountability Frameworks (PMAF). Strong knowledge of global data protection regulations such as GDPR, CCPA, CPRA, and relevant industry standards. Proven expertise in data mapping, risk assessments, and conducting privacy audits. Excellent communication and stakeholder engagement skills across diverse teams. Certifications such as CIPP-E, CIPM, CIPT, CISSP preferred; Juris Doctor (JD) is a plus. Skills Required Deep understanding of IT, SaaS, and cloud provider compliance challenges. Solid knowledge of information security principles and best practices. Proficiency with privacy management tools like OneTrust for data mapping and assessment automation. Basic understanding of cookies and marketing technology systems. Ability to clearly articulate complex privacy and security concepts to both technical and non-technical audiences. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data with Zero Trust Data Security . Our platform leverages machine learning to secure enterprise, cloud, and SaaS data, helping organizations ensure data integrity, availability, risk monitoring, and rapid recovery from cyberattacks and operational disruptions.

Senior Data Analyst Location: Bangalore, India Office About the Team Rubrik s Legal Team plays a crucial role in securing the world s data by providing legal expertise across contracts, intellectual property, privacy, employment law, trade compliance, and litigation. The team fosters a culture of innovation, ownership, and collaboration as we build an iconic company. About the Role Rubrik s Legal Operations Team is looking for a skilled and motivated Senior Data Analyst to drive data-driven decision-making and operational efficiency. You will work closely with the Legal department to analyze, visualize, and report legal and compliance data, enabling strategic insights and process improvements. This role requires technical expertise and the ability to translate complex data into actionable business intelligence. Key Responsibilities Collect, analyze, and interpret legal and compliance data from various sources. Develop and maintain dashboards and reports using tools like Snowflake, Tableau, Smartsheets, PowerPoint, and Google Sheets. Track compliance initiatives and identify trends, risks, and improvement opportunities. Collaborate with Legal teams to define KPIs and metrics. Present data insights clearly to stakeholders to guide strategic decisions. Ensure data quality, integrity, and regulatory compliance. Support process optimization initiatives within Legal Operations. Manage reconciliation, validation, and data integrity tasks for critical legal projects. Create executive-level presentations demonstrating data trends and business impacts. Experience and Skills Required 5-8 years of experience in data analytics, preferably supporting legal, compliance, or operations teams. Proficiency in SQL, Tableau, Smartsheets, Excel, PowerPoint, and GSuite. Experience with case management systems and compliance datasets is a plus. Bachelor s degree in Data Science, Business Analytics, Computer Science, Finance, or a related field. Strong analytical skills with the ability to interpret large datasets and provide actionable insights. Excellent written and verbal communication skills, with experience presenting to cross-functional teams and executives. Familiarity with legal and compliance standards preferred but not mandatory. Detail-oriented with strong project ownership and process improvement mindset. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Our Zero Trust Data Security platform leverages machine learning to safeguard data across enterprise, cloud, and SaaS applications helping businesses stay resilient against cyberattacks and operational disruptions. Qualification : Bachelors degree in Data Science, Business Analytics, Computer Science, Finance, or a related field.

Senior Information Security Analyst Data Governance Location: Bangalore, India About the Team The Information Security (InfoSec) team at Rubrik strengthens company-wide security through initiatives, tools, and processes that protect data and systems. They also oversee security monitoring, incident response, and educate employees on best practices to secure Rubrik s information assets. Role Overview This role focuses on data governance and security review throughout the Software Development Lifecycle (SDLC) to ensure sensitive data is properly protected. You will collaborate cross-functionally with Legal, Engineering, Product, and IT teams, while also supporting the Security Operations Center (SOC) with expert guidance on data governance during incident response. Key Responsibilities Perform data governance and security reviews during SDLC for new products and features. Manage and document metadata, including data lineage, ownership, and definitions. Conduct audits and assessments to ensure compliance with data governance standards. Maintain strong relationships and communication with internal stakeholders to facilitate governance adherence. Act as a subject matter expert for SOC, supporting incident response from a data security perspective. Support training and awareness programs on data governance policies and best practices. Develop and maintain governance documentation, policies, and procedures. Identify and escalate data governance risks with actionable recommendations. Experience & Qualifications Required: Bachelor s or Master s degree in Information Security, Data Analytics, or related field. 3 5 years in information security, data security, or data governance roles. Strong understanding of data security principles and frameworks (e.g., NIST). Excellent communication, presentation, and documentation skills. Project management skills to lead governance projects. Ability to adapt quickly and maintain professionalism in dynamic environments. Preferred: Certifications: CISSP, CISM, CDPSE, Security+ (or similar). Experience with data governance tools and metadata management. Knowledge of data privacy regulations: GDPR, CCPA, HIPAA. Experience supporting or collaborating with SOC/incident response teams. Strong analytical and problem-solving skills, especially with complex data. Familiarity with cloud-based data security solutions. Rubrik leads in Zero Trust Data Security , providing cutting-edge data protection across enterprise, cloud, and SaaS environments. This role offers an impactful chance to enhance data governance and security in a mission-critical, rapidly evolving tech company. Qualification : Bachelors or Masters degree in Information Security, Data Analytics, or related field.

Staff Engineer DSPM Location: Bangalore, India About the Team Rubrik s Security Apps team focuses on securing customer data across cloud, SaaS, and on-premises environments. As data volumes grow exponentially, so do the associated cybersecurity risks. The team builds scalable and innovative solutions to protect, search, and analyze data seamlessly. Operating like a startup within a startup, they emphasize strong engineering principles, innovation, and teamwork to drive product excellence. About the Role As a Staff Engineer, you will play a critical role in Rubrik s R&D, collaborating closely with product teams to build and evolve scalable, fault-tolerant backend systems. You will lead the development of data ingestion pipelines and advanced analysis engines, shaping the technical direction of multiple projects. Additionally, you will mentor engineers, fostering leadership skills and promoting a culture of technical excellence. What You ll Do Design, develop, test, deploy, and maintain high-performance software systems. Build large-scale distributed systems and storage infrastructure. Develop backend services that ingest and process sensitive data from multiple cloud providers. Create data pipelines for classification, correlation, anomaly detection, automated issue resolution, and customer reporting. Own project priorities, deadlines, and deliverables with end-to-end accountability. Identify and resolve software bottlenecks, driving continual innovation. Provide technical leadership and mentorship to engineers, guiding their growth into leadership roles. Influence architecture and design decisions across teams and projects strategically. Propose and lead process improvements and technical initiatives to boost productivity. Collaborate rapidly with engineers, product designers, and stakeholders to solve real-world problems. Operate effectively in an agile, fast-paced environment, adapting quickly to evolving business needs. Experience & Qualifications Bachelor s or Master s degree in Computer Science or a related field. 13+ years of industry experience solving complex technical problems. Proficiency in one or more programming languages such as Go, Java, C/C++, Scala, or Python. Experience designing and architecting large-scale distributed systems. Proven ability to guide and mentor engineers in scalable software design and implementation. Strong communication and collaboration skills. Experience with public cloud platforms (GCP, AWS, Azure) is a plus. About Rubrik Rubrik is on a mission to secure the world s data with its Zero Trust Data Security platform. Using machine learning, Rubrik Security Cloud protects data across enterprises, cloud, and SaaS environments, enabling resilience against cyberattacks, insider threats, and operational disruptions while ensuring data integrity and availability. Qualification : Bachelors or Masters degree in Computer Science or a related field.

Data Management Analyst Location: Bengaluru, Karnataka Team: Data Management About this Role This position is part of BlackRock s initiative to revolutionize private markets data and technology, complementing the Aladdin platform to deliver comprehensive investment solutions globally. The Data Management team is dedicated to ensuring that coverage of the alternative assets industry remains accurate, up to date, and comprehensive. As a Data Management Analyst, you will focus on processing and assuring the quality of public data. Reporting to the Data Lead, you will collaborate with a distributed team of specialists to research, analyze, and curate public data delivered to our clients. What You ll Do Acquire, update, and maintain high-quality alternative assets data using internal tools and software. Conduct thorough web-based research on firms, funds, and transaction activities in the alternative asset space. Update databases with key financial information, statistics, and analyses relied upon by clients. Participate in complex data projects involving data quality, process re-engineering, and workflow optimization. Develop domain expertise to enhance the quality and scope of data offerings. Collaborate with stakeholders across various business units to improve data product offerings. What You Bring Bachelor s degree or equivalent experience in Finance or a related field. Approximately 6 months of relevant experience. Strong interest in finance and knowledge of financial markets. Proficiency in English with excellent writing and interpersonal skills. Experience with Microsoft tools such as Excel, SharePoint, and Office 365. Benefits We offer a wide range of benefits designed to keep you energized, engaged, and supported, including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) so you can relax and recharge. Hybrid Work Model Our hybrid work model fosters collaboration and mentorship, supporting employee growth and flexibility. Employees typically work at least 4 days per week in the office with the option to work from home 1 day per week, ensuring a balance between teamwork and individual productivity. About BlackRock At BlackRock, our mission is to help more people achieve financial well-being. Our clients, and those they serve, rely on investments that support retirement, education, home ownership, and business ventures. These investments also strengthen the global economy by supporting businesses, financing infrastructure, and enabling innovation. We invest deeply in our employees, creating a welcoming and supportive environment with opportunities for development, networks, and benefits to help you thrive. Qualification : Bachelors degree or equivalent experience in Finance or a related field.

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

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.

Join Our Team as a Security Operations Analyst Location: Bangalore, India (On-site) Department: Information Security At Cytiva, we are advancing the future of therapeutics from discovery to delivery. As a leading global provider of technology and services that help researchers and pharmaceutical companies develop and manufacture life-saving treatments, our work is integral to shaping the future of healthcare. We are seeking a Security Operations Analyst to join our global Information Security Team in Bangalore. In this key role, you will be at the forefront of protecting our digital assets and infrastructure by monitoring, analyzing, and responding to security incidents. By proactively identifying threats and vulnerabilities, you will help minimize risk and ensure business continuity. What You ll Do Lead Security Incident Response: Conduct advanced security incident analysis and digital forensics to identify and mitigate threats. Lead investigations into malware, network traffic anomalies, and endpoint detection. Provide Expertise: Guide and mentor L1 and L2 SOC analysts, enhancing the quality of security alerts and incident handling. Optimize Security Tools: Collaborate with engineering teams to fine-tune SIEM tools (e.g., Splunk, Microsoft Sentinel, Elastic Security) and other security technologies for improved detection and response. Proactive Threat Hunting: Identify hidden threats within the organization through threat hunting activities, reducing the potential attack surface. Enhance Security Posture: Partner with other IT and security teams to strengthen the overall security posture, ensuring resilient systems and infrastructures. Post-Incident Reporting: Produce detailed incident reports and provide recommendations for security improvements, leading post-incident reviews with cross-functional teams. Who You Are Experience: Minimum of 5+ years in a corporate IT environment, including at least 2 years in an L3 or senior analyst role. Security Knowledge: Deep expertise in security frameworks such as MITRE ATT&CK, NIST, CIS Controls, and ISO 27001. Technical Skills: Hands-on experience with SIEM platforms (e.g., Splunk, Sentinel, QRadar, ArcSight) and EDR/XDR solutions. Vendor certifications are a plus. Incident Response Expertise: Strong background in incident response, threat hunting, and forensic investigations. Cloud Security Knowledge: Familiarity with cloud security platforms (AWS, Azure, Google Cloud) and modern attack techniques. Certifications like OSCP, CEH are advantageous. Additional Skills That Would Be a Plus: Scripting & Automation: Proficiency in scripting (e.g., Python, PowerShell, Bash) to automate security processes and improve SOC workflows. Specialization: Expertise in EDR, SIEM, UBA, DLP, or Data Security. OT Environments: Experience with Operation Technology (OT) environments is an advantage. Innovative Culture: Join a dynamic, global team dedicated to advancing healthcare through technology and innovation. Impactful Work: Your role will directly contribute to the security and integrity of vital technologies used in the life sciences industry. Global Collaboration: Work with cross-functional teams around the world, contributing to an organization's critical security initiatives. Growth Opportunities: Benefit from continuous learning, career development, and the chance to make a tangible impact on both the organization and the industry. Apply now and be part of a team that is dedicated to ensuring the security of life-saving technologies.

Azure Data Engineer IBM Consulting Client Innovation Center Location: Bengaluru, India Experience: 7+ Years (Minimum 4+ Years in Azure Technologies) Job Type: Full-Time Education Required: Bachelor s Degree (Master s preferred) Introduction: Join IBM Consulting at our Client Innovation Center in Bengaluru, where we deliver deep technical and industry expertise to a wide range of public and private sector clients. Our delivery centers focus on innovation, agility, and adoption of next-gen technologies to transform businesses locally and globally. Your Role & Responsibilities: Design and develop scalable data engineering solutions on Microsoft Azure. Build, optimize, and manage data pipelines and ETL workflows using tools like Azure Data Factory, ADLS, and Databricks. Write clean, efficient code using PySpark, PL/SQL, and Spark SQL. Integrate and manage data from various sources, both structured and unstructured. Work with SQL, Postgres, Cassandra, and Cosmos DB. Utilize Azure services such as Stream Analytics, SQL DW, Azure Functions, ARM Templates, and Analysis Services. Implement and maintain serverless architectures for modern data solutions. Ensure high-quality data delivery, security, and compliance across systems. Collaborate across teams and contribute to solution design, code reviews, and documentation. Required Skills & Experience: Bachelor s degree in Computer Science, Information Systems, or related technical field. 7+ years total experience in Data Engineering, with 4+ years in Azure-based data projects. Strong hands-on experience with: Azure Data Factory, Data Lake (ADLS), Databricks Programming: Python, PySpark, PL/SQL, Spark SQL Databases: SQL, Postgres, Cassandra, Cosmos DB Solid grasp of data warehousing, relational databases, and cloud-based architectures. Familiarity with version control tools like Git and CI/CD pipelines. Preferred Skills & Qualifications: Master s Degree in a relevant field. Experience with: ARM Templates, Azure Functions, Serverless Architectures Object-oriented scripting languages (Python, Scala, etc.) Excellent problem-solving and communication skills. Ability to work in a fast-paced environment and collaborate effectively with teams and stakeholders. What You ll Get: Work on high-impact, global projects with cutting-edge Azure technologies. Be part of a collaborative and forward-thinking IBM team. Opportunities for professional growth, upskilling, and certifications. A dynamic work culture focused on innovation, agility, and client success. Join us in Bengaluru and be part of IBM s journey in shaping the future of data engineering. Qualification : Bachelors degree in Computer Science, Information Systems, or related technical field.

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.