Social Media Specialist

Data Engineer

Data Lakehouse & Platform Engineering 

About the Role

We are hiring Data Engineer to own the lifecycle of our enterprise Data Lakehouse platform. We are looking for engineers who think in systems, make platform-level design decisions, and can build and operate a production-grade, multi-source lakehouse from the ground up, covering ingestion through consumption across a complex, multi-cloud source landscape.

You will be the technical authority for a platform that consolidates data from 18+ enterprise products (Costpoint, GovWin, Specpoint, Vantagepoint, and others) into a governed, medallion-architected data lake on AWS S3 with Apache Iceberg table format, orchestrated via AWS Step Functions, and queryable through AWS Athena and Trino. This role is end-to-end: you own ingestion, transformation, quality, orchestration, ML data supply, and BI consumption.

Key Responsibilities

•      Architect and evolve the full medallion lakehouse — Bronze, Silver, and Gold layers — on AWS S3 with Apache Iceberg; own schema design, partitioning, compaction, and retention policies.

•      Design and implement scalable Glue ETL (PySpark) pipelines for bronze_to_silver and silver_to_gold transformations, incorporating dbt for SQL-layer transformations where appropriate.

•      Own and extend CDC ingestion via Fivetran; manage schema evolution, connector health, and sync reliability across 18+ source products.

•      Build and maintain AWS Step Functions state machines and EventBridge schedules for end-to-end pipeline orchestration; implement Lambda-based quality and drift monitors.

•      Govern the Glue Catalog and Lake Formation policies; enforce column-level security, row-level access controls, and audit logging to meet SOC2 and regulatory requirements.

•      Architect the query layer — optimize Athena workgroups and partition pruning; plan and execute Trino-on-EKS deployment for sub-second analytics workloads.

•      Partner with data science teams on SageMaker data supply: feature engineering pipelines, training dataset preparation, and model registry integration.

•      Implement real-time and near-real-time streaming solutions using Kafka or Kinesis where sub-13-minute latency is required.

•      Lead platform modernization initiatives: evaluate emerging formats (Iceberg vs. Delta Lake vs. Hudi), tooling, and cost optimization strategies.

•      Establish and enforce data engineering best practices: code reviews, CI/CD for pipeline code, IaC (Terraform / CloudFormation), and incident response runbooks.

•      Mentor and level up junior and mid-level data engineers; define team standards for pipeline design, testing, and documentation.

Required Qualifications

•      Software or data engineering experience, with at least 4 years in an architect or technical lead capacity designing large-scale cloud data platforms.

•      Deep, hands-on expertise with AWS data services: S3, Glue (PySpark ETL), Athena, Step Functions, Lambda, EventBridge, Lake Formation, SageMaker, and CloudWatch.

•      Production experience with Apache Iceberg (or Delta Lake / Hudi) table formats — compaction, snapshot management, schema evolution, and time travel.

•      Strong PySpark and Python skills; ability to write, review, and optimize distributed data processing jobs at scale.

•      Hands-on experience with CDC-based ingestion platforms (Fivetran, Debezium, or equivalent) across heterogeneous source systems.

•      Proven experience designing and implementing medallion (Bronze/Silver/Gold) or equivalent multi-hop lakehouse architectures.

•      Experience with data pipeline orchestration: AWS Step Functions, Apache Airflow, or equivalent; event-driven pipeline design patterns.

•      Strong SQL skills; experience with Athena, Trino, Presto, or equivalent query engines for large-scale analytical workloads.

•      Familiarity with data governance tooling: catalog management (Glue Catalog, Apache Polaris/Iceberg REST), data lineage, access controls, and audit frameworks.

•      Experience with Infrastructure as Code (Terraform or CloudFormation) for data platform provisioning and drift management.

•      Solid understanding of dimensional modeling, schema design (star/snowflake), and data normalization for BI and analytics workloads.

•      Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent professional experience.

Preferred Qualifications

•      Experience operating Trino or PrestoDB on Kubernetes (EKS); tuning for sub-second query latency and multi-tenant workloads.

•      Familiarity with streaming platforms (Kafka, Kinesis, or Pub/Sub) and real-time lakehouse patterns.

•      Experience with Apache Polaris or other Iceberg REST catalog implementations.

•      Exposure to SageMaker MLOps pipelines, Model Registry, and feature store patterns for ML data supply.

•      Experience with dbt (data build tool) for SQL-layer transformation and documentation in lakehouse environments.

•      Government contracting or ERP domain knowledge (Costpoint, Deltek, Oracle, or similar enterprise platforms) is a strong plus.

•      AWS certifications: Data Engineer Associate, Solutions Architect Professional, or equivalent.

What You Will Build

You will be a founding architect of a strategic, cross-product data platform that serves 18+ enterprise applications and their analytics, ML, and AI workloads. The decisions you make on schema, storage format, query layer, governance, and orchestration will shape the data foundation of the company for years. This is a high-impact, high-ownership role with direct visibility to senior leadership.

Role: Video Editing & Motion Graphic

Location: Marol Mumbai

Experience: min 2 years of experience

Required:

Social media editing

Video editing

Motion editing

If anyone interested then apply through link:-  https://tiny.cc/NGtalent 

Experience: 6m - 5 years

Location: Bangalore

Job Description:

• End to End Recruitment- Requirement Gathering, Screening, Interview Scheduling, Partner channel handling, HR discussions, Compensation.

• Negotiations, Offer making and Coordinating the whole recruitment process.

• Handling all recruitment activities, analyzing market trends, and establishing pipeline of candidates to full fill resource pool needs.

• Minimizing lead time between sourcing and onboarding and maximizing utilization of LinkedIn and referral channels for fulfilling hiring needs.

• Stake Holder Management - building & maintaining relationships with key corporate decision makers, timely update on recruitment progress.

• Ensuring accomplishment of set recruitment targets.

• Recruitment plan preparation & manpower planning.

• Focus on data driven recruitment, in bound recruitment and keeping diversity in hiring, skill & behavior analysis of candidates.

About Wissen Technology:

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

• Our workforce consists of 550+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

• Globally present with offices US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

• Wissen Technology has been certified as a Great Place to Work®.

• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

• We have served clients across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include the likes of Morgan Stanley, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Website : www.wissen.com

Company Name - Propzilla

PROPZILLA is a company with rich experience in real estate advisory that believes each real estate experience should be a simple and successful execution to fulfill your DREAM Investment. We are driven by the fundamental values of customer satisfaction, credibility and professionalism.

Website :- https://www.propzilla.in/

Job Profile: Telesales Manager

Salary: Open to Discuss

No of opening: 2

Location: sector 65, Gurgaon 

Job Description:

Outbound calling on leads generated or data provided by the Company

Boost sales by reaching out to current and possible clients.

Budding clients to encourage visit to the property.

Ensuring the follow-ups by passing leads to appropriate team members with complete profile information, sources, etc.

Periodic training will be provided on the latest projects and launch including the sales pitch

Addressing clients uncertainties, grievances and provide suggestion on time.

Skills and Experience:

Candidate should have excellent communication skills.

High School Diploma or equivalent.

Prior experience as telesales or similar.

Basic knowledge about real estate industry would be an add-on.

It would be work from office.

Requirements:

• Engineers with 1-6 years of experience in shipping consumer-facing Android apps with the large user base, ideally currently available on the Google Play Store

• Top-notch programming skills in Java, Kotlin and Android along with MVVM, Dagger2, Room, LiveData, Coroutine & JetPack-Components

• Command of memory management, view hierarchy, battery optimisation and in-depth experience with multi threaded and networked applications

• Worked with Restful APIs, third-party SDK Integrations and common technologies like HTTPS, JSON, OAuth, and SQL

• Thorough working knowledge of Android Studio with the Gradle build system
• Understanding the quirks of the fragmented ecosystem of Android OS versions and devices
• Focus on Material Design principles and pixel-perfect implementation of the design into code
• Solid experience with Git Care for quality with an obsession for performance and willingness to spend time testing the team's work as well as yours

• Must have 5-8 years of experience in handling data
• Must have the ability to interpret large amounts of data and to multi-task
• Must have strong knowledge of and experience with programming (Python), Linux/Bash scripting, databases(SQL, etc)
• Must have strong analytical and critical thinking to resolve business problems using data and tech
•  Must have domain familiarity and interest of – Cloud technologies (GCP/Azure Microsoft/ AWS Amazon), open-source technologies, Enterprise technologies
• Must have the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Must have good communication skills
• Working knowledge/exposure to ElasticSearch, PostgreSQL, Athena, PrestoDB, Jupyter Notebook