6 Storm Jobs

EDUCATION AND EXP A professional degree in Computer Science from a reputable institution, backed by a consistent academic record. A knack for problem-solving, data structures, and algorithms. Proficiency in ElasticSearch. 5-10 years of hands-on development experience, primarily in building products for large enterprises. Exceptional communication skills. Mastery in Java programming; familiarity with Python is a plus. Experience with Spring Boot. Practical knowledge of one or more cloud-based technologies (e.g., ElasticSearch, Storm, Hazelcast, MongoDB, Ceph, Kafka) is highly desirable. Expertise in building concurrent and/or parallelized, highly performant scalable applications. A track record of identifying and addressing complex issues in scalable deployments. Exposure to Service-Oriented Architecture (SOA) and Test-Driven Development (TDD) is an added advantage. ROLES & RESPONSIBILITIES: Dive deep into technical aspects (Analysis, Design & Implementation) as required. Take complete ownership of features within the product. Engage in debates and detailed discussions about functional and non-functional requirements with our Product Management team. Collaborate with the team to design solutions, seeking stakeholder input before implementation. Create essential artifacts such as functional specifications and detailed designs for your assigned features. Implement intricate features with an unwavering commitment to quality, following the Test- Driven Development (TDD) process. Maintain open lines of communication, promptly reporting risks and progress to your supervising manager. Share your expertise and mentor team members. Provide support by troubleshooting and creating Root Cause Analysis (RCA) for production issues, subsequently working on short-term and long-term solutions.

The Data Engineer is a seasoned subject matter expert, responsible for the transformation of data into a structured format that can be easily analyzed in a query or report. This role is responsible for developing structured data sets that can be reused or complimented by other data sets and reports. This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management operational predictive data science capabilities. What you'll be doing Key Responsibilities: Creates data models in a structured data format to enable analysis thereof. Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources, Participates in the transformation of object and data models into appropriate database schemas within design constraints. Interprets installation standards to meet project needs and produce database components as required. Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations. Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems. Works across multiple IT and business teams to define and implement data table structures and data models based on requirements. Accountable for analysis, and development of ETL and migration documentation. Collaborates with various stakeholders to evaluate potential data requirements. Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives. Collaborates with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models. Knowledge and Attributes: Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities. Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models. Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP. Seasoned understanding of data architecture landscape between physical and logical data models Analytical mindset with excellent business acumen skills. Problem-solving aptitude with the ability to communicate effectively, both written and verbal. Ability to build effective relationships at all levels within the organization. Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.). Academic Qualifications and Certifications: Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field. Relevant certifications preferred such as SAP, Microsoft Azure etc. Certified Data Engineer, Certified Professional certification preferred. Required Experience: Seasoned experience as a data engineering, data mining within a fast-paced environment. Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale. Seasoned experience with architecture and design of secure, highly available and scalable systems. Seasoned proficiency in automation, scripting and proven examples of successful implementation. Seasoned proficiency using scripting language (Perl, bash, Shell Scripting, Python, etc.). Seasoned experience with big data tools like Hadoop, Cassandra, Storm etc. Seasoned experience in any applicable language, preferably .NET. Seasoned proficiency in working with SAP, SQL, MySQL databases and Microsoft SQL. Seasoned experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.

About you: Are you a passionate and hands-on technical leader with a proven track record in building systems technologies for large-scale data? Do you thrive in an environment where you can lead engineering teams and deliver innovative products that perform at scale? If so, you may be the ideal candidate. We are seeking a highly motivated individual passionate about solving complex challenges with creative solutions and enjoys mentoring and supporting others. As a leader, manager, and engineer, you will play a pivotal role in driving our team's success and shaping the future of our products. Your Team: Sales Cloud Performance Engineering team is dedicated to delivering a fast and scalable Sales Cloud experience for our customers. From the get go, you will lead a team responsible for the performance and scale of Sales Cloud applications, including Agentforce AI experiences, and the overall customer experience. What youll be doing: Youll lead the mission to make applications faster and more scalable to support the ever-growing needs of our enterprise customers. The team empowers product teams to develop features with performance and scalability in mind. You will also be responsible for developing AI-powered tools and automation to optimize the performance and scalability of Sales Cloud products. Our customers rely on us to provide insights for their business-critical workflows, making Sales Cloud's responsiveness, speed, and scalability essential for customer adoption and success. What youll achieve Support leadership vision and values, and inspire the team to do their best to achieve the goals. Manage deliverables, objectives, priorities, trade-offs, risks, and team performance. Delegate effectively, providing context and resources and letting creativity flourish. You know when to stay out of the way, and when to intervene in the best interest of your team and the company. Provide technical leadership and career development to the team. Invest in continuous employee development of a highly technical team by mentoring and coaching engineers and technical leads in the team. Drive innovation and technical excellence, managing complex technical projects. Communicate status, risks, and mitigation strategies to ensure on-time delivery of high-performance solutions. Partner with product engineering teams to build scalable systems. Attract, hire, and develop top talent. Identify opportunities and improve the processes and culture of the engineering organization. Responsibilities: Lead a team of talented engineers who like to ship performant code and tackle hard engineering problems to meet the scale for our largest customers. Establish the necessary processes to achieve optimal product performance Manage complex technical projects and provide roadmap planning. Drive improvements to enhance our infrastructure's enterprise readiness Coach, mentor, and provide constructive feedback to direct reports. Grow the team and align project assignments with career development goals and company vision Serve as the scrum master and build efficient and healthy teams Collaborate with Product Management, Operations and other stakeholders to develop a vision and roadmap for the team Foster a collaborative, cross-team environment with other Salesforce Industries engineering managers, promoting autonomy, inclusivity, innovation, learning, respect, and transparency, while maintaining high delivery standards. Cultivate a team culture of ownership, empowerment, and innovation Hire, develop, and grow the talent in the team Drive scalable and extensible architecture and good product development practices Work closely with Support and key customers on production issues Ensure Customer escalations are handled with priority and stays Green Demonstrate problem solving and technical innovation through hands-on involvement. Requirements: Bachelors or Masters degree in Computer Science, Software Engineering, or equivalent experience. 15+ years in a software engineering leadership position, managing engineering teams. Experience in the software industry, including time as an individual contributor, with at least 5+ years of experience in optimizing large scale systems and big data pipelines. 8+ years of engineering experience coding in at least one programming language (e.g., Java, C/C++), and experience learning new development languages. Extensive experience with performance and scalability, metrics, and tooling. Experience with AWS, Kafka, Storm, ElasticSearch, Cassandra, NoSQL, Postgres/MySQL, Redis, Big Data, Data Lakes, and Kubernetes. Knowledge of LLM, Retrieval Augmented Generation (RAG), and AI applications is a plus. Experience with big data and pipeline processing at scale. Experience with IAAS scale (AWS, GCP, Azure), with familiarity in multi-tenant architecture. Experience partnering with product engineering teams to build scalable systems. Evaluate business goals from a capacity, reliability, performance and scale perspective, translating these into requirements and influence product roadmaps. Experience in recruiting and managing engineering teams focused on performance and scale. Excellent communication and presentation skills for both technical and non-technical audiences. Strong understanding of product design principles, especially for data-intensive applications. Ability to adapt to and manage multiple competing priorities in a fast-paced environment. Technical expertise in data modeling, distributed systems technologies, and cloud deployment (provisioning, multi-tenancy, frameworks, and tools for system monitoring and logging). Experience with Agile software development methodologies and short release cycles. About Salesforce: Salesforce is the worlds leading customer relationship management technology, helping you build and improve your customer relationships. In 1999 we pioneered cloud-based CRM, and today were helping organizations of all sizes re-imagine their business for the world of AI. How? With , providing trusted, autonomous AI agents that take action for your employees and customers. With unified data from all your systems, so every employee has a 360-degree view of every customer. And with apps for your sales, service, marketing, commerce, and IT teams. About the Position: Salesforces Sales Cloud team is looking for a seasoned engineering leader to lead the Performance Engineering team into Agentforce AI future. The team champions and drives performance through all of the Sales Cloud portfolio of products. They focus on building performance and innovation into each product by getting involved early in scrum teams work, drive all things performance and innovation, and evangelize best practices for developing highly performant, scalable, and innovative applications. They build AI tools and frameworks to automate testing of the software during development. This work is critical to ensure Sales Cloud can scale for the tremendous growth we have seen in our transaction and data volumes. Strong knowledge of how to approach scaling cloud based enterprise software as well as how to distribute people on work and support your team. A successful candidate is someone who has experience building performance teams at scale, has deep experience with SaaS enterprise platforms, knows the right metrics to measure success, demonstrates strong execution amidst competing priorities, and a respected servant leader. The current need is to spear-head our big data scale efforts, which involves scaling data engineering pipelines to billions of transactions per day and working with our Sales Cloud enterprise customers - to onboard them and work with them closely to meet their scale needs. About you: Are you a passionate and hands-on technical leader with a proven track record in building systems technologies for large-scale data? Do you thrive in an environment where you can lead engineering teams and deliver innovative products? If so, you may be the ideal candidate. We are seeking a highly motivated individual who is passionate about solving complex challenges with creative solutions and enjoys mentoring and supporting others. As a leader, manager, and engineer, you will play a pivotal role in driving our team's success and shaping the future of our products. Your Team Sales Cloud Performance Engineering team is responsible for making Sales Cloud delightfully fast and scalable for our customers. From the get go, the team you lead will own the performance and scale of the Sales Cloud applications including Agentforce Agents and the experience we provide to our customers. What youll be doing Youll help drive the team's charter to make applications faster and more scalable to support our ever growing needs of enterprise customers. The team is responsible for empowering product teams to build their features in a performance and scalable way. You will also be responsible to build out tooling and automation for measuring and optimizing performance and scalability of Sales Cloud products. Our customers rely on us to provide insights for their business critical workflows and so keeping Sales Cloud responsive, fast and scalable is critical to the adoption and success of our customers. What youll achieve Support leadership vision and values and inspire the team to do their best to achieve the goals. Manage deliverables, objectives, priorities, trade offs, risk and performance of the team. Delegate effectively, providing context and resources and letting creativity flourish. You know when to stay out of the way, and when to intervene in the best interest of your team and the company. Provide technical leadership and career development to the team. Invest in continuous employee development of a highly technical team by mentoring and coaching engineers and technical leads in the team. Drive innovation and technical excellence and manage complex technical projects. Communicate status, risks, and offer mitigation strategies to ensure on-time delivery and highly performant solutions. Partner with product engineering teams to build scalable systems Attract, hire and develop top talent. Participate in identifying opportunities and improving the processes and culture of the engineering organization in general Responsibilities: Lead a team of talented engineers who like to ship performant code and tackle hard engineering problems to meet the scale for our largest customers. Establish the necessary processes to achieve the best possible performance in the product Manage complex technical projects and provide roadmap planning. Provide improvements that help our infrastructure to be enterprise-ready, leading projects ranging from seed plans to customer-focused enhancements Coach, mentor and provide real-time, meaningful, sensitive, and constructive feedback to direct reports Grow the team and align project assignments with career development goals and company vision Serve as the scrum master and build efficient and healthy teams Collaborate with Product Management, Operations and other stakeholders to develop a vision and roadmap for the team Drive cross team collaborative work environment with other Salesforce Industries engineering managers that fosters autonomy, inclusivity, innovation, learning, respect and transparency while holding a high bar for delivery Cultivate a team culture of ownership, empowerment, and innovation Hire, develop, and grow the talent in the team Drive scalable and extensible architecture and good product development practices Work closely with Support and key customers on production issues Ensure Customer escalations are handled with priority and stays Green Demonstrate problem solving and technical innovation through "rolling-up sleeves" and "getting hands dirty" Requirements: Bachelors or Masters degree in Computer Science, Software Engineering, or equivalent experience 15+ years in a software engineering leadership position with experience in managing engineering team Experience in the software industry, including time as an individual contributor, with at least 5+ years of experience in optimizing large scale systems and big data pipelines. 8+ years of engineering experience coding in at least one programming language, and experience learning new development languages (e.g., Java, C/C++, etc). Experience with performance and scalability engineering, metrics and tooling, performance R&D Experience with AWS, Kafka, Storm, ElasticSearch, Cassandra, NoSQL. Postgres/MySQL, Redis, Big Data, Data Lakes, and Kubernetes Knowledge on LLM, Retrieval Augmented Generation (RAG), AI applications is a plus Experience with big data and pipeline processing at scale Experience with IAAS scale (AWS, GCP, Azure). Major points for familiarity with multi-tenant architecture. Experience partnering with product engineering teams to build scalable systems Evaluate business goals from a capacity, reliability, performance and scale perspective, translating these into requirements and influence product roadmaps. Experience in recruiting, managing engineering teams Excellent communication and presentation skills across technical and non-technical audiences Critical eye for product design, well-versed in good design principles especially around data applications Ability to adapt and handle multiple competing priorities in a fast-paced environment Technical expertise in data modeling, distributed systems technologies, and cloud deployment (provisioning, multi-tenancy, frameworks, and tools for system monitoring, logging). Experience with Agile software development methodologies and short release cycles

What are we looking for? Searce is looking for a Data Engineer who is able to work with business leads, analysts, data scientists and fellow engineers to build data products that empower better decision making. Someone who is passionate about the data quality of our business metrics and geared up to provide flexible solutions that can be scaled up to respond to broader business questions. What you'll do as a Data Engineer with us: Understand the business requirements and translate these to data services to solve the business and data problems Develop and manage the transports/data pipelines (ETL/ELT jobs) and retrieve applicable datasets for specific use cases using cloud data platforms and tools Explore new technologies and tools to design complex data modeling scenarios, transformations and provide optimal data engineering solutions Build data integration layers to connect with different heterogeneous sources using various approaches Understand data and metadata to support consistency of information retrieval, combination, analysis and reporting Troubleshoot and monitor data pipelines to have high availability of reporting layer Collaborate with many teams - engineering and business, to build scalable and optimized data solutions Spend significant time on enhancing the technical excellence via certifications, contribution to blog, etc What are the must-haves to join us? Is Education overrated? Yes. We believe so. But there is no way to locate you otherwise. So we might look for at least a Bachelors degree in Computer Science or in Engineering/Technology. 1-4 years of experience with building the data pipelines or data ingestion for both Batch/Streaming data from different sources to database, data warehouse / data lake Hands-on knowledge/experience with SQL/Python/Java/Scala programming,Experience with any cloud computing platforms like AWS (S3, Lambda functions, RedShift, Athena), GCP (GCS, CloudSQL, Spanner, Dataplex, BigLake, Dataflow, Dataproc, Pub/Sub, Bigquery), etc. Experience/knowledge with Big Data tools (Hadoop, Hive, Sqoop, Pig, Spark, Presto) Data pipelines & orchestration tool (Ozzie, Airflow, Nifi) Any streaming engines (Kafka, Storm, Spark Streaming, Pub/Sub) Any relational database or data warehousing experience Any ETL tool experience (Informatica, Talend, Pentaho, Business Objects Data Services, Hevo) or good to have knowledge Good communication skills, right Attitude, open-minded, flexible to learn and adapt to the fast growing data culture, proactive in coordination with other teams and providing quick data solutions Experience in working independently and strong analytical skills

about the role Data Engineer identifies the business problem and translates these to data services and engineering outcomes. You will deliver data solutions that empower better decision making and flexibility of your solution that scales to respond to broader business questions. key responsibilities As a Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision making. You are passionate about data quality of our business metrics and flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Searce. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself. Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML Understand the business problem and translate these to data services and engineering outcomes Explore new technologies and learn new techniques to solve business problems creatively Think big! and drive the strategy for better data quality for the customers Collaborate with many teams - engineering and business, to build better data products preferred qualifications Over 1-2 years of experience with Hands-on experience of any one programming language (Python, Java, Scala) Understanding of SQL is must Big data (Hadoop, Hive, Yarn, Sqoop) MPP platforms (Spark, Pig, Presto) Data-pipeline & schedular tool (Ozzie, Airflow, Nifi) Streaming engines (Kafka, Storm, Spark Streaming) Any Relational database or DW experience Any ETL tool experience Hands-on experience in pipeline design, ETL and application development Good communication skills Experience in working independently and strong analytical skills Dependable and good team player Desire to learn and work with new technologies Automation in your blood

Competent Big Data/Databrick engineer+ who is independent+ results driven and is capable of taking business requirements and building out the technologies to take it to production. Big Data Engineer with expert level experience in Hadoop ecosystem and real time analytics tools including PySpark/Scala Spark/Hive/Hadoop CLI/MapReduce/ Storm/Kafka/Lambda Architecture/Mongo Familiar with job scheduling challenges in Hadoop Experienced in creating and submitting Spark jobs Experience in high performance tuning and scalability Experience in working on real time stream processing technologies like Spark structured streaming+ Kafka