Database Performance Tuning Jobs in Bengaluru
546 Jobs Found
Ai Agent Engineer
Observe.ai Networks Private Limited
AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field
Java Associate Software Engineer
Blueoptima
Position: Java Associate Software Engineer Job Type: Full-Time Location: Bengaluru Department: Engineering About BlueOptima: At BlueOptima, we aim to be the global leader in optimizing the performance of software engineers across all industries. Our industry-leading objective metrics in software development help large organizations build better software, faster, and at lower costs using innovative technology. With a global presence spanning four countries London (HQ), Mexico, India, and the USA we ve seen consistent growth year over year, with no external investment. Our 115+ employees represent over 34 nationalities and speak more than 25 languages, contributing to a diverse and inclusive work environment. We foster an open-minded culture, empowering our employees to craft their own success stories in a high-performance setting. Job Description: We are seeking a Java Associate Software Engineer to join our dynamic engineering team in Bengaluru. This high-impact role offers the opportunity to work as an individual contributor, taking full ownership of features from inception to delivery. You will collaborate closely with stakeholders and product managers, applying your technical skills to create real-world solutions that make a difference for our users. If you're passionate about building quality applications, optimizing performance, and working in a collaborative team environment, we d love to have you onboard! Key Responsibilities: Development & Maintenance: Design, implement, test, and maintain high-quality Java-based application software. Architecture & Design: Participate in software and architectural development activities, ensuring scalable and robust solutions. Debugging & Support: Identify and resolve application issues, and provide timely support for client queries. Task Management: Provide accurate task estimates, clearly communicate progress, and identify risks or blockers. Performance Optimization: Perform performance tuning of application code to ensure efficiency and scalability across different service levels. Customer Interaction: Collaborate with clients to address and resolve any issues or concerns reported by users. Qualifications: Essential: Education: Bachelor s degree in Computer Science or a related field. Experience: 2+ years of hands-on experience in Java development. Technical Skills: Strong understanding of Java concurrency and concurrency patterns. Experience with Spring and Hibernate/ORM frameworks. Experience building RESTful web services. Solid understanding of SQL concepts and database interactions. Desired (but not required): Familiarity with Jira, Git for version control. Experience with TestNG or JUnit for unit testing. Knowledge of web application servers and database performance optimizations (e.g., partitioning, column indexing). Understanding of design patterns and their application in software development. At BlueOptima, you will not just be writing code you ll be contributing to the future of software engineering performance. You ll have the opportunity to take on true feature ownership, collaborate with talented engineers, and drive significant changes from start to finish. With an emphasis on learning and growth, you ll constantly improve your skills in a fast-paced, supportive environment. Qualification : Bachelors degree in Computer Science or a related field
Lead Associate, Software Engineering (database Developer)
Betanxt
Job Title: Lead Associate Software Engineering (Database Developer) Location: Bengaluru Type: Full-Time Level: Senior Database Developer About BetaNXT BetaNXT is shaping the future of connected wealth management infrastructure, delivering real-time data capabilities that improve advisor productivity, reduce operational costs, and enhance the investor experience. Leveraging the combined power of Beta, Maxit, and Mediant, our solutions tackle complex integration challenges and modernize platforms for scalability, agility, and growth. We help wealth management firms turn legacy platforms into differentiating assets. About the Role We are looking for a Senior Database Developer to join our Product Engineering team as a Lead Associate Software Engineering. In this role, you will play a critical part in designing, developing, and optimizing enterprise-grade database solutions to support our next-generation wealth management platform. This position is ideal for a detail-oriented and performance-focused database professional who thrives in a collaborative Agile environment and is passionate about building scalable, reliable data systems. Key Responsibilities Design, develop, and maintain complex SQL queries, stored procedures, triggers, and database scripts. Analyze and optimize database performance, ensuring scalability and efficiency. Develop and maintain SSRS reports, support ETL processes, and collaborate on SSIS packages. Work closely with application developers to ensure seamless database integration and data flow. Perform in-depth data analysis to support business and product requirements. Partner with QA teams to validate data integrity and support testing cycles. Conduct unit testing and developer-level validation to ensure quality before release. Participate in daily Scrum meetings and Agile ceremonies to coordinate development efforts. Troubleshoot and resolve complex technical issues related to data and performance. Document all development work to support maintainability and knowledge sharing. Required Qualifications & Experience Experience: 7+ years of hands-on experience in SQL database development in enterprise environments. Technical Skills: Advanced SQL development skills, including writing and optimizing complex queries and stored procedures. Proficiency in T-SQL (preferred), with acceptable expertise in PL/SQL or equivalent SQL dialects. Experience with SSRS (SQL Server Reporting Services), SSIS, and ETL processes. Strong data modeling, data analysis, and database design capabilities. Hands-on experience in performance tuning and query optimization techniques. Working knowledge of AWS services such as S3, SSM, and DynamoDB is a plus. Soft Skills & Collaboration Strong problem-solving and analytical thinking skills. Excellent verbal and written communication skills. Ability to work collaboratively across cross-functional Agile teams. Highly organized, detail-oriented, and self-motivated. Contribute to a platform backed by industry innovation and 11 technology patents. Help shape the future of real-time data and wealth management systems at scale. Collaborate with a high-impact, global engineering team in a dynamic, fast-paced environment. Thrive in a company culture that values growth, curiosity, and collaboration.
Data Architect
Growtharc Technologies
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.
Application Support And Database Administrator
Infosys
Job Title: Application Support and Database Administrator Location: Bengaluru, India Experience: 3 6 Years Service Line: Cloud & Infrastructure Services Educational Qualifications: Master of Engineering, B.E., B.Tech, B.Sc Role Overview: Join our Infosys delivery team as an Application Support and Database Administrator where you will play a vital role in ensuring the smooth design, development, validation, and ongoing support of enterprise applications and databases. Your efforts will directly contribute to delivering superior service quality and client satisfaction in a dynamic technology environment. Key Responsibilities: Collaborate with clients and internal teams to gather detailed requirements and translate them into technical system specifications. Lead and participate in project estimations to provide accurate input on effort and resource requirements to Technology Leads and Project Managers. Support design, development, and validation activities to ensure the reliability and efficiency of applications and database systems. Monitor, troubleshoot, and maintain application and database performance, ensuring minimal downtime and rapid issue resolution. Contribute to continuous improvement initiatives, optimizing systems and processes to support digital transformation journeys. Who You Are: A proactive professional with a strong understanding of application support and database administration best practices. Skilled at working collaboratively across teams with excellent communication and problem-solving skills. Passionate about leveraging technology to drive business value and client satisfaction. Qualification : Master of Engineering, B.E., B.Tech, B.Sc
Dot Net Developer
Camsdata Technologies India Pvt. Ltd.
Dot Net Developer Bangalore (Bengaluru), India Location: Bangalore (Bengaluru) Experience: 2 to 10 Years Industry: IT Software Website Development & Maintenance Role Category: Programming & Development Job Role: Dot Net Developer Job Summary: We are seeking a talented Dot Net Developer with strong expertise in full-stack development using the .NET platform. The ideal candidate will have hands-on experience designing, developing, and maintaining scalable web applications and services using Microsoft technologies. Key Responsibilities: Design, develop, and maintain robust software solutions using ASP.NET, ADO.NET, VB.NET, C#, and .NET Framework Develop and consume WCF/Web Services, including SOAP and REST APIs Work with front-end technologies like jQuery and frameworks such as Dojo (preferred) Manage databases and perform SQL scripting using MS SQL Server, Oracle, and tools like Elasticsearch Implement DevOps practices using Git, Jenkins, Azure DevOps, and Azure Pipelines Ensure high code quality, adherence to secure coding standards, and maintain good code coverage through unit testing Participate in full Software Development Life Cycle (SDLC) activities, from requirement gathering to deployment Troubleshoot, debug, and resolve production issues in collaboration with business users Work efficiently within Agile and Scrum teams, attending daily stand-ups and sprint planning Optimize application performance through tuning and code improvements Required Skills & Experience: Strong hands-on experience with ASP.NET, ADO.NET, VB.NET, C#, and .NET Framework Proficient in building and consuming SOAP and RESTful Web Services Good understanding of database technologies: MS SQL Server, Oracle, and search tools like Elasticsearch Experience with Git, Jenkins, Azure DevOps, and related CI/CD pipelines Knowledge of front-end scripting with jQuery and optionally Dojo framework Solid experience working in Agile environments using Scrum methodology Excellent problem-solving, debugging, and analytical skills Strong communication skills, both verbal and written Ability to manage time effectively and work collaboratively in a team Preferred Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field Prior experience with performance tuning and application optimization Exposure to secure coding practices and software testing methodologies Work on exciting full-stack Microsoft technology projects Be part of a dynamic Agile team focused on continuous improvement Opportunities for professional growth and skill development Collaborative work environment fostering innovation Qualification : Bachelors degree in Computer Science, Information Technology, or related field
Sql Developer Team Lead
In4velocity
SQL Developer Team Lead (8 12 Years) | Bangalore (Work from Office) Location: Bangalore (Onsite) Experience: 8 to 12 Years Employment Type: Full-time About the Role We are looking for a SQL Developer Team Lead to join our fast-growing engineering team in Bangalore. In this leadership position, you will be responsible for managing a team of SQL developers, designing scalable data architectures, and optimizing high-performance queries and stored procedures. This is an exciting opportunity to work on large-scale enterprise applications that power the real estate and construction industry through our flagship platform, In4Suite . Key Responsibilities Lead, mentor, and manage a team of SQL developers, driving technical excellence and collaboration. Develop and optimize complex T-SQL stored procedures, triggers, functions, and SSIS packages. Design reusable and scalable database schemas for multi-tenant architecture across customers. Perform performance tuning and query optimization for large datasets. Maintain and evolve the data dictionary and metadata documentation. Work on Microsoft SQL Server 2012 and above for server-side database development. Ensure adherence to coding standards and best practices for SQL development. Conduct regular code reviews, QA checks, and validation of data exports and reports. Collaborate with cross-functional teams in a Scrum/Agile environment. Troubleshoot and resolve complex SQL/database-related issues independently. Required Skills Strong hands-on experience with Microsoft SQL Server (2012 and above). Expert-level knowledge in T-SQL programming and SSIS (SQL Server Integration Services). Proven track record in data modeling, schema design, and multi-tenant architecture. Skilled in query optimization, performance tuning, and analyzing execution plans. Solid understanding of database best practices, indexing strategies, and stored procedure optimization. Experience managing a high-performing development team in a product-based environment. Preferred Skills Familiarity with .NET code and jQuery is a plus. Experience with SSRS (SQL Server Reporting Services) for report generation. Exposure to Database Administration (DBA) tasks such as backups, indexing, and monitoring. Working knowledge of Agile project tracking tools and collaboration platforms. Educational Qualifications Bachelor s or Master s Degree in Computer Science, Information Technology, or a related field. 8 to 12 years of relevant industry experience in SQL development and database leadership roles. Soft Skills & Team Culture Fit Strong leadership qualities with a team-first mindset. Excellent written and verbal communication skills. Highly analytical with a proactive problem-solving attitude. Eager to mentor and support junior team members. Committed to continuous learning and knowledge-sharing. Benefits of Working with In4Velocity Flexible working hours Continuous learning & professional development opportunities Medical and insurance coverage Work with a fast-growing enterprise software company Collaborative and inclusive team culture About In4Velocity Founded in 2004, In4Velocity is a market leader in providing technology solutions for the real estate, construction, and infrastructure sectors. Our flagship product, In4Suite , is an end-to-end ERP platform that helps real estate developers streamline operations and make data-driven decisions through a single, unified system. Trusted by clients globally, In4Suite eliminates the need for multiple disjointed tools by combining project management, sales, finance, procurement, and CRM into one powerful ecosystem. With unmatched support, intuitive design, and deep business intelligence capabilities, In4Suite is the platform of choice for digitally transforming real estate businesses. Apply now and become part of a pioneering technology company redefining real estate management. Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or a related field.
Backend Engineer
Cognite
Backend Engineer Location: Bengaluru (Hoodi, Rathi Legacy, Rohan Tech Park) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader leveraging AI and data to solve complex industrial challenges in Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF). We have been recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, driving the future of industrial digital transformation. Our Values Impact: Deliver meaningful, measurable results. Ownership: Take responsibility beyond your comfort zone and foster inclusivity. Relentless: Innovate with determination and resilience. Role & Responsibilities Design and develop scalable, high-performance backend services and APIs using Java, Kotlin, or Python for Cognite Data Fusion. Work with advanced database technologies like PostgreSQL and Elasticsearch to enhance our industrial knowledge graph. Collaborate with application teams to create user-centric solutions addressing complex industrial problems. Build resilient, scalable infrastructure using modern open-source tools and Cognite s data platform. Influence critical product and technical decisions by partnering closely with stakeholders and domain experts. 5+ years of backend engineering experience, primarily using Java, Kotlin, or Python in SaaS/product companies at scale. Flexibility with tech stacks: Java/Kotlin experience is a plus for Python developers and vice versa. Experience with Spark is highly valued. Strong background in modern databases (PostgreSQL, Elasticsearch), graph processing, distributed systems, and performance tuning. Commitment to clean, maintainable code and best practices through continuous code review and improvement. DevOps experience: CI/CD, Infrastructure as Code, Kubernetes multi-cloud deployments (AWS, GCP, Azure). Skilled in observability and diagnostics with tools like Prometheus, Grafana, and expertise in troubleshooting complex system issues. Comfortable contributing to and learning from the open-source community. Excellent communication skills to collaborate effectively across diverse, global teams. Be part of a diverse global team representing 70+ nationalities, committed to DEI. Work in a modern, vibrant office environment at Rathi Legacy, Hoodi, Bengaluru with hybrid flexibility. Flat hierarchy with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious, high-impact projects across multiple industries. Engage in Cognite s HUB community for direct interaction with colleagues and partners. Make Your Impact Join Cognite and help revolutionize industrial digital transformation with strong DataOps, enabling better decisions and sustainability for global clients. We encourage applications from all backgrounds and identities. If you re passionate about shaping the future of industrial SaaS, apply today!
Database Engineer II
Meesho
Database Engineer II Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, 5% of Indian households shop with us and to manage millions of orders every day, we ve built resilient systems that operate with zero downtime! Our engineering muscle is a key driver behind Meesho s growth as an e-commerce giant. We value speed over perfection and view failures as opportunities for growth. As a Database Engineer II, you ll be part of a team that thrives on collaboration, constructive feedback, and innovation. If you enjoy solving complex technical problems while working with a fun, dynamic team, Meesho is the place for you! About the Role As a Database Engineer II at Meesho, you'll implement best practices for NoSQL Database Engineering, working with a variety of NoSQL technologies at a large scale. You ll collaborate closely with engineering teams to optimize and streamline systems and processes. Being proficient in emerging technologies and working effectively with cross-functional teams will be key to your success in this role. What You Will Do Manage, maintain, and monitor relational and NoSQL database clusters to meet SLAs. Oversee both in-house and SaaS solutions in the public cloud or 3rd party environments. Diagnose and communicate database issues to relevant stakeholders and implement solutions. Design and implement best practices for provisioning, tuning, upgrading, and decommissioning database clusters. Cost optimization: Implement mechanisms for cost control and continuous improvement. Collaborate with teams to automate approaches for scalability, reliability, and performance. Participate in R&D: Research new database features and innovative solutions. Be part of the on-call rotation to ensure smooth database operations. What You Will Need 5+ years of experience in provisioning and managing relational/NoSQL databases. Proficiency in two or more of the following: MySQL, PostgreSQL, BigTable, Elasticsearch, MongoDB, Redis, ScyllaDB. Strong Python programming skills. Experience with deployment orchestration, automation, and security management using tools like Jenkins, Terraform, and Ansible. Experience with cloud platforms like AWS or GCP. Comfortable working in Linux/Unix environments. Knowledge of TCP/IP stack, load balancers, and networking concepts. Proven ability to drive projects to completion in a timely manner. A degree in Computer Science, Software Engineering, IT, or a related field is a plus. About Us Welcome to Meesho, where every story starts with a spark of inspiration and entrepreneurial spirit. We're not just an e-commerce platform; we're your partner in making dreams come true. Curious about life at Meesho? Our employees rave about our culture and environment and we re proud to be one of the top-rated e-commerce workplaces on Glassdoor! Our Mission Meesho s mission is to democratize internet commerce for everyone. We started with a single goal: to become the e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online. With over 1.75 million sellers, we provide industry-first benefits like zero commission and the lowest shipping costs. Meesho is empowering small businesses by connecting them with a massive customer base through cutting-edge tech infrastructure and logistics. Culture & Total Rewards At Meesho, we foster a dynamic, high-impact workplace where performance excellence is key. Our people-centric culture is built on our 11 guiding principles (or "Mantras"), which influence everything from recognition and growth discussions to team collaboration. What We Offer: Competitive compensation: Market-leading cash and equity-based rewards tailored to each role and experience. Holistic wellness support: Our MeeCare Program includes benefits covering physical, mental, financial, and social wellness. Medical insurance: Extensive medical coverage for employees and their families, along with wellness services like telehealth and gym discounts. Work-life balance: Generous leave policies, parental support, retirement benefits, and continuous learning support. Employee recognition: Personalized gifts, team engagement, and a culture of appreciation. Additional benefits including salary advance, relocation assistance, and flexible benefits plans. Qualification : A degree in Computer Science, Software Engineering, IT, or a related field is a plus.
Ai Ml Engineer
Wipro Limited
AI/ML Engineer - Bengaluru, India Experience: 4 to 6 years About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in technology services and consulting. Operating in 65 countries with over 230,000 employees, Wipro helps organizations achieve digital transformation through innovative, future-ready solutions. Role Overview We are hiring an experienced AI/ML Engineer to work on advanced machine learning and Generative AI solutions. You will design prompt engineering pipelines, develop ML models using frameworks like TensorFlow and PyTorch, and deliver scalable backend services using Python and Django. Key Responsibilities Design and implement GenAI-based use cases using prompt engineering techniques Build REST APIs and scalable microservices using Python and Django Evaluate GenAI model performance and implement guardrails Deploy applications to Azure or AWS cloud environments Lead prompt lifecycle management including tuning, templating, and optimization Ensure integration with databases and external APIs Use CI/CD tools for continuous deployment (Azure DevOps, Jenkins, Ansible, Terraform) Mandatory Skills Python, Django, REGEX AI/ML, Deep Learning, NLP TensorFlow, PyTorch Generative AI, LLMs, RAG Pipelines REST API development Preferred Skills API Gateways: WSO2, KONG, nginx Apache HTTP Server Azure DevOps, Ansible, Jenkins, Terraform Databricks Additional Requirements Understanding of OOP, design patterns, and scalable architecture Familiarity with Docker and version control tools like GitHub or Bitbucket Team leadership in prompt engineering and stakeholder engagement Knowledge of secure prompt design to mitigate injection or leakage risks Join a forward-thinking digital transformation company where your ideas shape the future. We value diversity, innovation, and continuous learning. Applications from individuals with disabilities are highly encouraged.
Data Engineer-dataiku/python
Infocepts
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.
Data Engineer - Snowflake And Dbt
Infocepts
Position: Data Integration Developer (Snowflake & DBT) Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: This role seeks candidates who are passionate about data and motivated to address the organization's analytics challenges. As a Data Integration Developer (Snowflake & DBT), you will play a crucial role in assisting our clients with their data and analytics journey. Your responsibilities will include building robust data pipelines, enhancing data consistency, and developing the necessary infrastructure to support analytics platforms. Key Responsibilities: Technical Expertise: Develop and optimize ETL processes using Snowflake capabilities. Build and maintain advanced data models and ETL processes using DBT (Data Build Tool). Ensure efficient data transformation and integration within the data warehouse. Collaboration: Work closely with data analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions. Facilitate effective communication and collaboration across teams. Quality Assurance: Implement and oversee data quality checks and testing procedures. Ensure data accuracy, consistency, and compliance with governance policies. Documentation and Reporting: Create and maintain comprehensive documentation for ETL processes and project workflows. Provide regular updates and reports on project progress and performance metrics. Compliance and Security: Ensure all data engineering activities comply with data governance and security policies. Implement measures to protect data integrity and confidentiality. Essential Skills: Proficient in SQL: Skilled in writing efficient queries on large datasets, including CTE and database table design. Snowflake Expertise: Experience with Snowflake or other database technologies, including SQL tuning. ETL Development: Skilled in developing and optimizing ETL processes using Snowflake and other tools. DBT Experience: Familiar with DBT Core/DBT Cloud and fundamental data modeling concepts (3NF, Star, Snowflake). Data Analysis and Profiling: Experienced in data analysis and profiling tasks. Qualifications: Overall Work Experience: More than 5 years of experience, with at least 2-3 years of experience in Snowflake and DBT. Education: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Key Qualities: Decision Making: Ability to influence and implement change with confidence and sound decisions. Problem-Solving: Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers. Communication: Ability to consult, write, and present persuasively. Team Collaboration: Works effectively in self-organized, cross-functional teams. Apply now and become an integral part of our innovative team working on cutting-edge data integration solutions! Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus).
Senior Java Expert
Hashedin Technologies Pvt. Ltd.
Job Title: Senior Java Expert Experience: 3 to 8 years Overview of the Role: This role sets the benchmark for team software development processes and deployment procedures while actively contributing to establishing best practices and methodologies within the team. Responsibilities: Develop and deliver high-quality, efficient, and optimized enterprise Java/J2EE applications. Apply core Java and object-oriented design principles. Write unit-testable code using frameworks like JUnit, TestNG, and Cucumber. Estimate development and testing efforts accurately. Utilize frameworks like Spring, Spring Boot, Hibernate, and build tools like Maven and Gradle. Work in Agile Scrum development environments. Collaborate closely with system users and senior stakeholders. Ensure secure coding practices and follow design patterns and modern software development principles. Provide technical guidance to junior developers. Actively contribute to team best practices and ensure project deliverables align with quality standards. Required Skills: Core Java expertise with strong OOP understanding. Solid understanding of Java performance tuning. Hands-on experience with Spring (Spring Boot preferred) and Hibernate. Experience with SQL and relational databases. Knowledge of Test-Driven Development (TDD). Familiarity with agile development practices. Excellent communication and stakeholder management skills. Good to Have Skills: Knowledge/experience with Python. Exposure to Angular, JSP, Bootstrap, CSS, Ajax, and JavaScript. Experience working with RESTful Web Services. Education: B.E./B.Tech, MCA, M.E./M.Tech Qualification : B.E./B.Tech, MCA, M.E./M.Tech
Database Engineer
Nutanix
Database Specialist - NDB Team Description Hungry, Humble, Honest, with Heart. The Opportunity This role focuses on driving customer adoption of Nutanix Database Service (NDB) by identifying and addressing customer challenges, providing pre-sales guidance, and validating joint solution architectures that integrate NDB with third-party products (e.g., HYCU backup interoperability). You will work closely with Services, NDB Sales specialists, and solution engineering teams to ensure strong collaboration and alignment with the product roadmap. In addition, you will offer subject matter expertise and technical support for database-related customer issues, contributing directly to engineering efforts when necessary. Nutanix Database Service (NDB) is the only hybrid multi-cloud Database-as-a-Service (DBaaS) that supports Microsoft SQL Server, Oracle Database, PostgreSQL, MongoDB, and MySQL. NDB enables customers to manage hundreds or thousands of databases efficiently without requiring complex migrations, while automating administrative tasks like patching and backups. About the Team You will be part of the NDB Team, a close-knit group of 11 talented individuals based in Bangalore. Our team thrives on collaboration and mutual support, fostering an environment where creativity and innovation are encouraged, and success is shared. This role reports to the Senior Manager of Engineering, who promotes open communication and mentorship. Our hybrid work environment allows for flexibility, with team members expected to work from the office 2-3 days per week to maintain a strong sense of community. This role has no travel requirements. Your Role Collaborate with account teams and DB specialists to support top customer accounts and understand customer adoption challenges for NDB. Gather and prioritize customer enhancement requests, feature asks, and any identified product gaps, and communicate these insights to leadership. Provide feedback on feature backlog with business rationale, including ARR impact and customer retention risks. Develop workarounds and mitigations for customer issues, contribute to best practice documentation, and create training materials for Solution Architects (SAs) and other teams. Work closely with NDB engineering to design, test, and certify new features, and to address critical functionality gaps and customer escalations. Support database engine-specific customer issues and provide expert guidance on default configuration settings for different databases. Identify and document configuration parameters that should be exposed for tuning purposes and group database use cases by type. What You Will Bring Excellent communication skills and the ability to work directly with customers to distinguish between root problems and surface-level requests. Deep expertise in database engines, with priority given to Microsoft SQL Server and MongoDB. Strong understanding of database infrastructure, particularly on Nutanix HCI and storage platforms. Familiarity with critical business requirements tied to NDB deployments, including scalability, high availability, disaster recovery, and security/compliance. Work Arrangement Hybrid: This role operates in a hybrid work model, combining remote flexibility with in-person collaboration. Most roles require working from the office at least 2-3 days per week, though specific team expectations may vary. Your manager will provide additional team-specific guidance. Equal Opportunity Employer Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status, or any other legally protected status. We hire and promote individuals based solely on their qualifications for the job. Nutanix is committed to fostering an inclusive workplace where all employees can thrive, free of unlawful discrimination, intimidation, or harassment. Reasonable accommodations will be provided for individuals with disabilities.
SAP HANA DBA/Developer
Ness Digital Engineering
Job Title: SAP HANA DBA/Developer Experience: 4+ years (including 2+ years specifically on SAP HANA Cloud/On-Prem) Why Ness At Ness, we recognize that our people are our greatest asset. Our success as one of the world s leading technology companies is driven by our employees professionalism, innovation, teamwork, and dedication to excellence. As part of the Ness team, you will have the opportunity to work on cutting-edge products and platforms for some of the most innovative software companies globally. Ness offers exciting and challenging projects across diverse industries and a collaborative work environment with forward-thinking professionals. Our core values rigor, innovation, and partnership guide our day-to-day operations and customer interactions. Skill Set & Key Requirements 4+ years of overall experience, with at least 2 years focused on SAP HANA (Cloud/On-Prem) as a DBA or Developer. Expert knowledge of HANA database architecture, including SDI/SDA (Smart Data Integration/Smart Data Access). Strong experience in scripting languages, data modeling, and automation tools. Proven expertise in SQL performance optimization and database tuning. Hands-on experience in User & Role management for HANA (or other SAP products). Experience working in multi-layer environments and strong understanding of transport mechanisms (Code lifecycle management). Flexibility and willingness to work across multiple technologies and platforms. Preferred (Good to Have) Experience with ETL tools/technologies and ETL administration. Basic understanding of SAP BTP (Business Technology Platform). Strong analytical and debugging skills for complex issues. Ability to document processes clearly and effectively. Proactive approach with a mindset to own topics and share knowledge within the team.
Senior Database Developer
Oracle India
Database Engineer About the Role: We are seeking a skilled Database Engineer with a strong focus on SQL/PLSQL development and performance tuning. This role requires expertise in designing, developing, and optimizing database solutions within an Oracle Database 19c environment. The ideal candidate will have a deep understanding of SQL processing, PL/SQL development, and performance tuning methodologies. Responsibilities: Develop complex SQL queries, including subqueries, correlated subqueries, and dynamic SQL. Create SQL scripts for data migration and ETL processes. Utilize SQL*Loader for data loading from flat files and spreadsheets. Design and develop database objects (tables, views, indexes, constraints, synonyms, database links). Develop stored procedures, functions, and complex PL/SQL packages. Work with collections in PL/SQL. Apply knowledge of Oracle Database 19c features and awareness of Oracle 23c AI database. Understand Oracle architecture, data dictionary views, and catalog views. Identify and resolve performance bottlenecks affecting SQL queries and the database. Utilize performance monitoring and reporting utilities (STATSPACK, AWR, ADDM, SQL Monitoring). Perform SQL tuning, PL/SQL tuning, and application tuning using tools like TKPROF, Explain Plan, and SQL Monitoring. Optimize SQL queries using indexes, table partitioning, and partition swapping. Optimize database performance by analyzing database objects, creating indexes, and materialized views. Apply bucketing concepts. Schedule and troubleshoot jobs in Oracle Database. Migrate data between database environments using Import/Export. Qualifications: Demonstrated expertise in developing complex SQL queries, including subqueries, correlated subqueries, and dynamic SQL. Proficiency in PL/SQL development, including stored procedures, functions, packages, and collections. Experience with data migration and ETL processes. Hands-on experience with SQL*Loader. Strong understanding of Oracle Database architecture and performance tuning methodologies. Familiarity with performance monitoring and reporting tools (STATSPACK, AWR, ADDM, SQL Monitoring). Experience with SQL and PL/SQL tuning techniques. Knowledge of Oracle Database 19c features and awareness of Oracle 23c AI database. Experience with job scheduling and troubleshooting. Proficiency in data migration using Import/Export. Experience with bucketing.
Senior Cloud Data Engineer
Capgemini Invent
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.
Senior Technical Lead FAW, Data Modelling, & OBIEE
Speridian Technologies
Senior Technical Lead FAW, Data Modelling, & OBIEE Location: Remote / Bangalore, India Experience: 7-12 Years About the Role We are seeking a Senior Technical Lead with deep expertise in Fusion Analytics Warehouse (FAW), Data Modelling, and OBIEE to design and implement cutting-edge enterprise analytics solutions. This role requires hands-on experience in FAW customization, OBIEE development, data integration, and ETL/ELT processes. As a key technical leader, you will work closely with internal teams and stakeholders to develop scalable, high-performance analytics solutions, ensuring alignment with business goals. Key Responsibilities FAW & OBIEE Development Lead the design, development, and deployment of enterprise analytics solutions using Fusion Analytics Warehouse (FAW) and OBIEE. Implement and manage FAW solutions, ensuring alignment with business requirements. Customize FAW dashboards and reports to meet specific organizational needs. Data Modelling & Integration Design, develop, and maintain robust data models, including dimensional modelling and star schema design. Provide expertise in ETL/ELT processes and data integration to support seamless data flow. Work with Oracle, SQL Server, and other database management systems to optimize data performance. OBIEE Development & Optimization Develop and maintain OBIEE reports, dashboards, and metadata repository (RPD). Troubleshoot and optimize OBIEE performance, ensuring scalability and reliability. Ensure data security and compliance across FAW, OBIEE, and related analytics platforms. Collaboration & Stakeholder Engagement Provide technical expertise in data integration, reporting, and visualization to internal teams and stakeholders. Effectively communicate complex technical concepts to non-technical stakeholders. Collaborate with cross-functional teams to ensure timely and successful project delivery. Required Qualifications & Skills Education & Experience Graduate degree in Computer Science, Information Technology, or a related field. 7-12 years of experience in enterprise analytics and business intelligence. Technical Expertise Fusion Analytics Warehouse (FAW): Hands-on experience in customization and deployment. Data Modelling: Strong knowledge of dimensional modelling and star schema design. OBIEE: Expertise in RPD development, dashboard/report creation, and performance tuning. ETL/ELT: Strong understanding of data integration processes and tools. SQL & Databases: Proficiency in Oracle, SQL Server, and other database management systems. Cloud Analytics: Familiarity with Oracle Cloud Infrastructure (OCI) and Oracle Analytics Cloud (OAC). Soft Skills Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Lead Cutting-Edge Analytics Initiatives Work with FAW, OBIEE, and cloud-based analytics platforms. Career Growth Opportunities for learning, upskilling, and career advancement. Collaborative Environment Work alongside industry experts in a dynamic, innovative culture. Comprehensive Benefits Competitive salary, remote work flexibility, and a supportive work environment. Join Our Team & Shape the Future of Enterprise Analytics! If you are passionate about data analytics, FAW, and OBIEE, we encourage you to apply! Apply Now! Qualification : Graduate degree in Computer Science, Information Technology, or a related field.
Manager - Technical Solutions (spark)
Databricks
As a Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical solution engineers and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines Strong written and verbal communication skills; very good analytical, organisational, multi-tasking skills 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 visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Manager - Technical Solutions (spark)
Databricks
As a Senior Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical Solution Engineers (Spark) and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Big Data / Spark hands on-experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines 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 visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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