Real Estate Marketing Associate

1. Managing all finance and accounting operations.
2. Coordinating and directing the preparation of the budget and financial forecasts and report variances.
3. Preparing and publishing timely monthly financial statements.
4. Coordinate and direct the preparation of the budget and financial forecasts and report variances.
5. Prepare and publish timely monthly financial statements.
6. Coordinate the preparation of regulatory reporting.
7. Research technical accounting issues for compliance.
8. Support month-end and year-end close process.
9. Ensure quality control over financial transactions and financial reporting.
10. Manage and comply with local, state, and federal government reporting requirements and tax filings.
11. Develop and document business processes and accounting policies to maintain and strengthen internal controls.
12. Additional controller duties as necessary.

Must Have’s:

1. CA
2. CPA

Job Overview

The primary role of a candidate will be a RF Engineer. The RF engineer will be a consultant who work collaboratively with the RF product team as well as partners to provide support for all presales solution aspects of the sales cycle.

Job requirements include but are not limited to the following activities: assistance & response to RFI/RFP preparation, opportunity & account planning, relation building with Partners and Product Management teams, demonstrations, joint partner solutions etc.

Responsibilities

• Strong Focus on Customer engagements in ongoing opportunities
• Assistance to product teams throughout the sales cycles
• Lead initial solution demonstrations to customers/partners.
• Assist in pre-sales to post-sale transition to ensure smooth implementation and maximum customer satisfaction.

Job description:

• Should be ready for a full-time job working from office.
• Interest and ability to identify, document and articulate the business and technical requirements of a customer.
• Excellent in customer facing, communication and presentation skills.
• Should have clear understanding of RF, Electromagnetics, RADAR, and communication technologies.
• Good knowledge in KPI parameter analysis , having knowledge in 2G/3G/4G/5G Technology & concepts.
• Should quickly learn Technology/Product/Solution offerings Spectrum monitoring equipment.
• Should be able to provide support to customers on issues raised by them.
• Should be good in writing and quantitative skills, other Microsoft tools like Excel, Word, PowerPoint, etc.
• High level of energy, enthusiasm, persistence, discipline, and a strong desire to succeed.
• Willingness to do whatever is necessary to win .
• Ability to travel abroad as well as domestically. Should be ready to travel to clients in India regularly for demonstrations, POCs, customer presentations, installations, and commissioning.

Technical Skills

• Preferred technical experience in data collection, RF optimization, Spectrum Monitoring and Management system.
• Electronics and telecommunications engineer with CCNA or equivalent networking knowledge.
• Good understanding of computer hardware technologies and its trends in market.
• Preferred experience up to 2-5 years in presales role.
• Should have better understanding of software languages and to operate the application software.
• Experience with Database, Application integration etc. desirable.
• Should be capable in conducting demos, training, etc.

JOB DESCRIPTION

Job Title: AWS-Azure Data Engineer with Snowflake

Location: Bangalore, India

Experience: 4+ years

Budget: 15 to 20 LPA

Notice Period: Immediate joiners or less than 15 days

Job Description:

We are seeking an experienced AWS-Azure Data Engineer with expertise in Snowflake to join our team in Bangalore. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure and systems using AWS, Azure, and Snowflake. Your primary focus will be on developing scalable and efficient data pipelines, optimizing data storage and processing, and ensuring the availability and reliability of data for analysis and reporting.

Responsibilities:

1. Design, develop, and maintain data pipelines on AWS and Azure to ingest, process, and transform data from various sources.
2. Optimize data storage and processing using cloud-native services and technologies such as AWS S3, AWS Glue, Azure Data Lake Storage, Azure Data Factory, etc.
3. Implement and manage data warehouse solutions using Snowflake, including schema design, query optimization, and performance tuning.
4. Collaborate with cross-functional teams to understand data requirements and translate them into scalable and efficient technical solutions.
5. Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes.
6. Develop and maintain ETL processes for data integration and migration between different data sources and platforms.
7. Implement and enforce data governance and security practices, including access control, encryption, and compliance with regulations.
8. Collaborate with data scientists and analysts to support their data needs and enable advanced analytics and machine learning initiatives.
9. Monitor and troubleshoot data pipelines and systems to identify and resolve performance issues or data inconsistencies.
10. Stay updated with the latest advancements in cloud technologies, data engineering best practices, and emerging trends in the industry.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
2. Minimum of 4 years of experience as a Data Engineer, with a focus on AWS, Azure, and Snowflake.
3. Strong proficiency in data modelling, ETL development, and data integration.
4. Expertise in cloud platforms such as AWS and Azure, including hands-on experience with data storage and processing services.
5. In-depth knowledge of Snowflake, including schema design, SQL optimization, and performance tuning.
6. Experience with scripting languages such as Python or Java for data manipulation and automation tasks.
7. Familiarity with data governance principles and security best practices.
8. Strong problem-solving skills and ability to work independently in a fast-paced environment.
9. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
10. Immediate joiner or notice period less than 15 days preferred.

If you possess the required skills and are passionate about leveraging AWS, Azure, and Snowflake to build scalable data solutions, we invite you to apply. Please submit your resume and a cover letter highlighting your relevant experience and achievements in the AWS, Azure, and Snowflake domains.

Profile – MongoDB Administrator

Experience -2-4 Yrs

Location – Baner, Pune

Job Description-

We are looking for an experienced MongoDB DBA who will maintain MongoDB clusters and databases while optimizing the performance, security, and the availability of MongoDB clusters.

Skills:
- Experience in setting up and managing MongoDB using OpsManager
- Experience with DevOps automation tools
- Experience with Microsoft Azure desirable
- Experience in working with a Linux environment
- Experience in designing indexing and data archival strategies

•  Handle Inbound & Outbound customer calls
•  Acknowledge and resolve customer queries and promptly provide solution to the
• query
•  Keeping records of customer interactions, transactions, comments and complaints
•  Establish and improve cooperation with new/existing customers
•  Coordinate with all the department for smooth redressal of customer complaints.
•  Maintaining a positive, empathetic and professional attitude towards customers.
•  Excellent interpersonal and oral communication skills
•  Computer knowledge (WORD & EXCEL)
•  Experience in customer handling

• Build data pipelines for structured/unstructured, real-time/batch, events/synchronous/asynchronous using MQ, Kafka, Steam processing using Java / Python
• Design the Data stores for Big Data systems with expertise in Cassandra, HBase
• Implementation of Indexing and Search using Elasticsearch
• Setup and Deployment of Cassandra, Elasticsearch clusters

• Strong hands-on experience with Cassandra, data modeling, data replication, clustering, indexing for handling for large data sets
• Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data for Time Series Analytics
• Strong understanding of CQL, Data Modeling in-order to achieve highly performant data access
• Strong experience in data modeling in Cassandra to design efficient storage model to meet variety of business needs
• Should have Elasticsearch skill with significant experience working with large Elasticsearch clusters, cluster performance optimisation, capacity planning, enhancing monitoring capabilities for early issue detection, driving operational readiness and ongoing maintenance
• Strong hands-on experience of programming with Java / Python
• Ability to troubleshoot and investigate stability, performance issues