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We have opening for QS and Planning Engineer for Hyderabad location
Experience : 6 to 10 years
Requirement
Strong QS Billing knowledge with an exposure to Planning
Preferred BE Civil
Must have experience in Residential Projects
High end Villas development projects preferred
Role
Planning
Prepare master project schedule
Keep project team updated on the progress versus timelines
Tracking all schedules weekly
Identify actual and potential slippages and prepare recovery plans
Document Control
Maintain records for all documents pertaining to the site –
drawing transmittals, DBR, MOM, approvals etc
Organize and conduct review meetings
Preparing & circulating weekly & monthly progress report
QS & Billing
Valuation of works done periodically and certification of all vendor bills
Track cost variation in order value
Monitor basic price of various materials and track budgets
Monitor and report cost performance through Earned Value
REQUIREMENT:
Location: Hyderabad
Position/Designation: Planning & QS Engineer
Project details : 110no of Triplex Villas. (Total Built up Area is3.35 Lakhs SFT)
New Requirement
Reporting To: Project Manager
JOB PROFILE:
Education: BE Civil
Experience: Years : 6 to 8 years
Area: Strong QS & Billing knowledge with an exposure to
Planning
Key Skills:
1)Planning
Prepare master project schedule
Keep project team updated on the progress versus timelines
Tracking all schedules weekly
Identify actual and potential slippages and prepare recovery plans
2)Document Control
Maintain records for all documents pertaining to the site – drawing transmittals, DBR, MOM, approvals etc
Organize and conduct review meetings
Preparing & circulating weekly & monthly progress report
3)QS &Billing
Valuation of works done periodically and certification of all vendor bills
Track cost variation in order value
Monitor basic price of various materials and track budgets
Monitor and report cost performance through Earned Value
Other Skills:
4) Good Communication Skills
Must have experience in Residential Projects
High end Villas development projects preferred
Accountant to manage all financial transactions, from fixed payments and variable expenses to bank deposits and budgets.
Knowledge of GST
Knowledge of TDS
Brief write up on how you could be a great fit for the role :
What your days and weeks will include.
- Agile scrum meetings, as appropriate, to track and drive individual and team accountability.
- Ad hoc collaboration sessions to define and adopt standards and best practices.
- A weekly ½ hour team huddle to discuss initiatives across the entire team.
- A weekly ½ hour team training session focused on comprehension of our team delivery model
- Conduct technical troubleshooting, maintenance, and operational support for production code
- Code! Test! Code! Test!
The skills that make you a great fit.
- Minimum of 5 years to 10 Years of experience as Eagle Investment Accounting (BNY Mellon product) as a Domain expert/QA Tester.
- Expert level of knowledge in ‘Capital Markets’ or ‘Investment of financial services.
- Must be self-aware, resilient, possess strong communications skills, and can lead.
- Strong experience release testing in an agile model
- Strong experience preparing test plans, test cases, and test summary reports.
- Strong experience in execution of smoke and regression test cases
- Strong experience utilizing and managing large and complex data sets.
- Experience with SQL Server and Oracle desired
- Good to Have knowledge on DevOps delivery model including roles and technologies desired
- Expertise in Java server-side development: Core Java, Golang Servlets, Spring Core, React JS, Spring Boot with GRPC, and Hibernate.
- Exposure to microservice design patterns.
- Good knowledge in Data Structures, Algorithms, Object-Oriented Design, Analysis, Design patterns, and other computer science concepts.
- Knowledge of GraphQL, Kafka, PostgreSQL will be added advantage.
Aqua Security enables enterprises to secure their container-based and cloud-native applications from development to production, accelerating container adoption and bridging the gap between DevOps and IT security.
About The Position
- Track record of delivering various features in large-scale applications or core systems with at least 5 years of experience. If you've written code in big data applications handling multitudes of data or real-time events, you're in.
- Experience writing multi-component systems or micro-services, with architectures requiring efficient inter-application communication. If you know what Kafka is, and think it's the bee's knees, we will think the same of you.
- Experience writing in a high-level language such as Go, C, Rust, Python, Ruby, etc.. If you're already writing Go, or spent a weekend debugging the worse memory leak ever, that's a big plus.
- Experience writing APIs (either RESTful or not) and RPCs. If you've broken backwards compatibility for your customers once, and dealt with the fallout, we want you (to deal with the fallout again).
- Experience with RDBMS systems (e.g. MySQL, PostgreSQL, Oracle, SQLite) and/or NoSQL databases (e.g. MongoDB, Redis, Cassandra, Couchbase). If you've written queries with more than two joins, or have a strong opinion of why an integer is better as a primary key (or maybe a UUID), we'd like to hear from you.
- Experience with container platforms and orchestrators such as Docker, Kubernetes and OpenShift is a plus. If you can name one way in which a container is different than a regular process, you're golden.
- Are you a free software/open source nerd? Do you maintain open source projects? Are you a Hacker News reader? Do you remember the days when you had to compile your own Linux kernel? Do you believe it should be called GNU/Linux? Have you ever been in a fight with an Emacs user? Are you an Emacs user? Well, we have the job for you!
Responsibilities for Data Engineer
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
About the Role
The Dremio India team owns the DataLake Engine along with Cloud Infrastructure and services that power it. With focus on next generation data analytics supporting modern table formats like Iceberg, Deltalake, and open source initiatives such as Apache Arrow, Project Nessie and hybrid-cloud infrastructure, this team provides various opportunities to learn, deliver, and grow in career. We are looking for technical leaders with passion and experience in architecting and delivering high-quality distributed systems at massive scale.
Responsibilities & ownership
- Lead end-to-end delivery and customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product
- Lead and mentor others about concurrency, parallelization to deliver scalability, performance and resource optimization in a multithreaded and distributed environment
- Propose and promote strategic company-wide tech investments taking care of business goals, customer requirements, and industry standards
- Lead the team to solve complex, unknown and ambiguous problems, and customer issues cutting across team and module boundaries with technical expertise, and influence others
- Review and influence designs of other team members
- Design and deliver architectures that run optimally on public clouds like GCP, AWS, and Azure
- Partner with other leaders to nurture innovation and engineering excellence in the team
- Drive priorities with others to facilitate timely accomplishments of business objectives
- Perform RCA of customer issues and drive investments to avoid similar issues in future
- Collaborate with Product Management, Support, and field teams to ensure that customers are successful with Dremio
- Proactively suggest learning opportunities about new technology and skills, and be a role model for constant learning and growth
Requirements
- B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
- Fluency in Java/C++ with 15+ years of experience developing production-level software
- Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models and their use in developing distributed and scalable systems
- 8+ years experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
- Subject Matter Expert in one or more of query processing or optimization, distributed systems, concurrency, micro service based architectures, data replication, networking, storage systems
- Experience in taking company-wide initiatives, convincing stakeholders, and delivering them
- Expert in solving complex, unknown and ambiguous problems spanning across teams and taking initiative in planning and delivering them with high quality
- Ability to anticipate and propose plan/design changes based on changing requirements
- Passion for quality, zero downtime upgrades, availability, resiliency, and uptime of the platform
- Passion for learning and delivering using latest technologies
- Hands-on experience of working projects on AWS, Azure, and GCP
- Experience with containers and Kubernetes for orchestration and container management in private and public clouds (AWS, Azure, and GCP)
- Understanding of distributed file systems such as S3, ADLS or HDFS
- Excellent communication skills and affinity for collaboration and teamwork




