11+ ETAP Jobs in Hyderabad | ETAP Job openings in Hyderabad
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Position Title: Sr. Manager/Manager Designs – Power Evacuation
Experience: 14 To 20 Years
Industry Type: Renewable Energy
Key Skills: AutoCAD, ETAP, Power World
Job Objectives:
- Lead the design of efficient power evacuation systems to integrate solar power plants with the national or regional grid.
- Design the layout of transmission lines, substations, step-up transformers, and switchgear for large-scale solar projects.
- Perform load flow studies, short circuit studies, and other electrical analyses to ensure the robustness of evacuation systems.
- Lead the planning, design, and implementation of power evacuation systems, ensuring they are aligned with project timelines, budgets, and specifications.
- Coordinate with external consultants, EPC contractors, and vendors to ensure seamless execution of the power evacuation systems.
- Ensure that all evacuation designs are compliant with local, national, and international standards (such as IEC, IEEE).
- Lead and mentor a team of engineers and technical specialists.
- Work closely with project managers, regulatory bodies, and other stakeholders to ensure project alignment and timely execution.
Job Description for QA Engineer:
Location -Hyderabad
- 6-10 years of experience in ETL Testing, Snowflake, DWH Concepts.
- Strong SQL knowledge & debugging skills are a must.
- Banking experience is mandatory
- Experience on Azure and Snowflake Testing is plus
- Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus
- Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool
- Experience in JIRA, Xray defect management toolis good to have.
- Exposure to the financial domain knowledge is considered a plus
- Testing the data-readiness (data quality) address code or data issues
- Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
- Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution
- Prior experience with State Street and Charles River Development (CRD) considered a plus
- Experience in tools such as PowerPoint, Excel, SQL
- Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus
Key Attributes include:
- Team player with professional and positive approach
- Creative, innovative and able to think outside of the box
- Strong attention to detail during root cause analysis and defect issue resolution
- Self-motivated & self-sufficient
- Effective communicator both written and verbal
- Brings a high level of energy with enthusiasm to generate excitement and motivate the team
- Able to work under pressure with tight deadlines and/or multiple projects
- Experience in negotiation and conflict resolution
Job Title: Senior AI/ML/DL Engineer
Location: Hyderabad
Department: Artificial Intelligence/Machine Learning
Job Summary:
We are seeking a highly skilled and motivated Senior AI/ML/DL Engineer to contribute to
the development and implementation of advanced artificial intelligence, machine learning,
and deep learning solutions. The ideal candidate will have a strong technical background in
AI/ML/DL, hands-on experience in building scalable models, and a passion for solving
complex problems using data-driven approaches. This role involves working closely with
cross-functional teams to deliver innovative AI/ML solutions aligned with business objectives.
Key Responsibilities:
Technical Execution:
● Design, develop, and deploy AI/ML/DL models and algorithms to solve business
challenges.
● Stay up-to-date with the latest advancements in AI/ML/DL technologies and integrate
them into solutions.
● Implement best practices for model development, validation, and deployment.
Project Development:
● Collaborate with stakeholders to identify business opportunities and translate them
into AI/ML projects.
● Work on the end-to-end lifecycle of AI/ML projects, including data collection,
preprocessing, model training, evaluation, and deployment.
● Ensure the scalability, reliability, and performance of AI/ML solutions in production
environments.
Cross-Functional Collaboration:
● Work closely with product managers, software engineers, and domain experts to
integrate AI/ML capabilities into products and services.
● Communicate complex technical concepts to non-technical stakeholders effectively.
Research and Innovation:●
Explore new AI/ML techniques and methodologies to enhance solution capabilities.
● Prototype and experiment with novel approaches to solve challenging problems.
●Contribute to internal knowledge-sharing initiatives and documentation.
Quality Assurance & MLOps:
● Ensure the accuracy, robustness, and ethical use of AI/ML models.
● Implement monitoring and maintenance processes for deployed models to ensure long-term performance.
● Follow MLOps practices for efficient deployment and monitoring of AI/ML solutions.
Qualifications:
Education:
● Bachelors/Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
Experience:
● 5+ years of experience in AI/ML/DL, with a proven track record of delivering AI/ML solutions in production environments.
● Strong experience with programming languages such as Python, R, or Java.
● Proficiency in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn,Keras).
● Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies
(e.g., Hadoop, Spark).
● Familiarity with MLOps practices and tools for model deployment and monitoring.
Skills:
● Strong understanding of machine learning algorithms, deep learning architectures,
and statistical modeling.
● Excellent problem-solving and analytical skills.
● Strong communication and interpersonal skills.
● Ability to manage multiple projects and prioritize effectively.
Preferred Qualifications:
● Experience in natural language processing (NLP), computer vision, or reinforcement
learning.
● Knowledge of ethical AI practices and regulatory compliance.
● Publications or contributions to the AI/ML community (e.g., research papers,open-source projects).
What We Offer:
● Competitive salary and benefits package.
● Opportunities for professional development and career growth.
● A collaborative and innovative work environment.
● The chance to work on impactful projects that leverage cutting-edge AI/ML technologies.
Requirements:
- 4-6 years of experience in developing Enterprise Web Applications using Java/J2EE technologies with a good professional track record.
- Excellent knowledge in Core Java (J2SE) and J2EE technologies.
- Proficient knowledge in Servlets, JDBC & JSP.
- Good knowledge of Spring framework (MVC, Cloud, Data and Security. Etc) and ORM framework like JPA/Hibernate.
- Strong knowledge of Exception Handling, Collections, File I/O Streams, Interfaces, and logging mechanisms is a must.
- Experience in developing REST APIs and integration of third-party APIs.
- Proficient knowledge in SQL/PLSQL.
- Expertise in application/web server deployment and connection pooling techniques.
- Cloud deployment (AWS & Azure) will be an added advantage.
- Experience in Version Control tools like Git, Bitbucket, etc.
- Experience in data security and protocols is a must.
- Maven and IDE tools experience is a must.
- Multi-threading and serialization techniques knowledge is a must.
- Good understanding of end-to-end software development lifecycle.
- Ability to read and understand requirements and design documents.
- Good Analytical skills and should be self-driven. Good communication with interpersonal skills.
- Open to learning new technologies and domains.
- A good team player and ready to take up new challenges
- Languages: Java(J2SE), J2EE (Servlets, JSPs, JDBC)
- Databases: MySQL, Oracle, SQL Server, PostgreSQL.
- DB Script: SQL and PL/SQL
- Frameworks: Spring, Spring Boot, Jersey, Hibernate and JPA
- OS: Windows, Linux/Unix.
- Cloud Services: AWS and Azure (Good to have)
- Version Control tools: Git, Bitbucket.
- Deployment Servers: Tomcat, JBoss, and Web sphere
- Build Tools: Gradle/Maven
JD for Salesforce Developer
Must-Have:
• 5 years of experience in Salesforce
• 2+ years of experience in Salesforce Vlocity
• Experience working with Lightning org is a must.
• Should be able to perform with minimal guidance from Lead developers.
• Should be able to guide their offshore peers when needed.
Preferred:
• Preferably candidates who have Salesforce CPQ and CLM
• Preferably candidates who have experience with Salesforce Sales Cloud
• Preferably candidates who have experience with integration between Salesforce and external systems.
• Preferably candidates having experience in the energy industry.
• Preferably candidates who have at least 1 Salesforce certification.
• Experience with other technologies such as .NET, MuleSoft, MS SQL Server, and Oracle is a plus.
• Experience working with digital signature applications like Sertifi, DocuSign, etc.
• Experience working on applications that connect to credit bureaus such as Equifax, Experian, etc.
Experience in the Energy and Utilities domain
Proficiency in APEX and Vlocity
Good understanding of SQL Server and ability to write strong SQL and stored procedures (nice to have)
Ability to work independently as well as part of a team
Responsibilities:
Design and develop solutions on the Salesforce platform to meet the needs of the Energy and Utilities business
Collaborate with cross-functional teams to gather requirements and provide technical guidance
Enhance and maintain existing Salesforce applications, including debugging and troubleshooting issues
Write clean, efficient, and well-documented code that adheres to best practices
Continuously improve technical skills and stay up-to-date with the latest Salesforce developments and best practices
Job Type- Full Time
Exp- 05 years
Location- Hyderabad (WFH) ( For meetings need to attend office)
Must have
Proven understanding of Data Modelling and Analytics
Advanced knowledge and experience working with relational and NOSQL databases as well as data warehousing.
Experience of working with Microsoft’s BI technology stack SSIS, SSRS, SSAS (tabular model), Power BI, Power Query, Excel.
Experience with Microsoft Azure Analytics tools and technologies such as Azure Synapse Analytics, Azure Data Bricks, HD Insight, Azure Data Factory, Azure Machine learning, Azure Stream Analytics, Azure Data Lake, Azure Analysis Services, Event Hubs, Azure Data Explorer, Azure Data Share, Azure Time Series Insights.
Good interpersonal, verbal, and written communication skills with a proven ability to explain complex technical ideas and problems clearly to non-experts
Good to have
Self-motivated, enthusiastic, and strong problem solving skills
Cultural awareness and experience of delivering solutions internationally working in an agile project delivery environment.
Experience maintaining source control in Git or Azure DevOps
Strong experience with various Software Development Life cycles (SDLC) methodologies: Agile or Standard waterfall initiatives
Proven experience working with various Project Management practices and disciplines
Demonstrated strong interpersonal skills to augment a close working relationship with cross functional teams
A history of designing and implementing reporting solutions that are both functional and engaging
Meticulous attention to detail
Proficiency in DAX, MDX, Python/Scala/Spark SQL
Non-profit sector knowledge/experience
Cosmos DB
Machine Learning
Roles & Responsibilities
Provide the organisation with accurate and timely BI solutions based on requirements gathered through business partnering activities
Maintain and support existing BI solutions
Proactively source new and innovative solutions that provide clear business value and construct ‘proof of concepts’ to demonstrate the new solutions
Proactively identify any technical project risks/issues related to BI
Estimate and deliver BI project tasks to agreed prioritisation and timeframes
Support the IT Service Delivery team with the BI reporting environment
Assist product owners in designing, agreeing, implementing and managing changes to the BI environment
Maintain accurate technical documentation
Communicate data and insights
Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.
On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.
Required Qualifications
- Bachelor's degree in computer science/electrical engineering or equivalent practical experience
- 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
- Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
- 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
- Experience with PyTorch or TensorFlow or other ML Frameworks.
- Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development
In this role you will:
- Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
- Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
- Own the ML pipeline from data collection, through the prototype development to production.
- Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack
- Relevant domain experience in Sales & Distribution SAP SD / SAP LE (Sales Order processing, Pricing and Conditions, Availability check and Requirements, Credit Management, Output determination, Foreign Trade/Customs, Billing, Shipping and Transportation)
- Experience of supporting medium/large scale Support / implementation / SAP ECC on HANA .
- Worked with SAP SD and HCM.Having experience in S4 HANA implementation.
This is an opportunity to be part of an exciting, new-age startup working on an AI platform to gather consumer insights. You’d be part of the business team, driving demand generation using content marketing, published on all digital properties.
Experience matters. The ‘must-haves’ are.
- A minimum of 3 years of experience in running content marketing programs, especially for SaaS, martech, technology brands
- Experience in running a complete marketing program – organizing webinars, scouting for event opportunities, etc.
- Experience in writing across genres – social, newsletters, blogs etc.
- Experience for writing for the Western audience (native English speaking geographies such as USA and the UK)
The specific skills sought are as follows.
- Ability to articulate technology in a way that a non-techie could understand.
- Ability to write in both informal and formal tones – use of colloquial English for informal and assuming a formal tone when authoring a thought leadership article, case studies, and whitepapers.
- Ability to improvise – use the same content to spin out content for social media publishing.
- Ability to think through topics that might be of interest to our very professionally accomplished TG – quite different than what you’d write for a consumer-facing brand.
· Strong portfolio to be presented and defended during the interview.
· Hands-on experience creating wireframes, prototypes, storyboards, user flows, etc.
· Experience using tools such as Photoshop, Sketch, Illustrator, InVision, UXPin, Quartz.
· Understanding of basic front-end languages: HTML5, CSS3 JavaScript.
· Creative ideas with a problem-solving mindset.
· Experience working in an agile/scrum development process.
· Be open to receiving objective criticism and improving upon it





