Business Development Manager

NEED TO HAVE

1) 1+ years of work experience on some front end like React.JS, nodejs or Angular.JS

2) HTML, CSS

3) Strong in Javascript concepts

4) Good communication skills

5) Loves to code

GOOD TO HAVE

1) Experience with type script will be a plus

2) Experience with Nest.JS framework will be a plus

3) Strong hold on ES6 principles.

4) Familiar with TDD ( Test Driven Development ) will be a plus.

5) Familiar with working in CI / CD will be a plus

6) Micro-Service architecture knowledge will be an added benefit.

Hi Kirti,

Job Title: Data Analytics Engineer

Experience: 3 to 6 years

 Location: Gurgaon (Hybrid)

Employment Type: Full-time

Job Description: 

We are seeking a highly skilled Data Analytics Engineer with expertise in Qlik Replicate, Qlik Compose, and Data Warehousing to build and maintain robust data pipelines. The ideal candidate will have hands-on experience with Change Data Capture (CDC) pipelines from various sources, an understanding of Bronze, Silver, and Gold data layers, SQL querying for data warehouses like Amazon Redshift, and experience with Data Lakes using S3. A foundational understanding of Apache Parquet and Python is also desirable. 

Key Responsibilities: 

1. Data Pipeline Development & Maintenance 

• Design, develop, and maintain ETL/ELT pipelines using Qlik Replicate and Qlik Compose. 
• Ensure seamless data replication and transformation across multiple systems. 
• Implement and optimize CDC-based data pipelines from various source systems. 

2. Data Layering & Warehouse Management 

• Implement Bronze, Silver, and Gold layer architectures to optimize data workflows. 
• Design and manage data pipelines for structured and unstructured data. 
• Ensure data integrity and quality within Redshift and other analytical data stores. 

3. Database Management & SQL Development 

• Write, optimize, and troubleshoot complex SQL queries for data warehouses like Redshift. 
• Design and implement data models that support business intelligence and analytics use cases. 

4. Data Lakes & Storage Optimization 

• Work with AWS S3-based Data Lakes to store and manage large-scale datasets. 
• Optimize data ingestion and retrieval using Apache Parquet. 

5. Data Integration & Automation 

• Integrate diverse data sources into a centralized analytics platform. 
• Automate workflows to improve efficiency and reduce manual effort. 
• Leverage Python for scripting, automation, and data manipulation where necessary. 

6. Performance Optimization & Monitoring 

• Monitor data pipelines for failures and implement recovery strategies. 
• Optimize data flows for better performance, scalability, and cost-effectiveness. 
• Troubleshoot and resolve ETL and data replication issues proactively. 

Technical Expertise Required: 

• 3 to 6 years of experience in Data Engineering, ETL Development, or related roles. 
• Hands-on experience with Qlik Replicate & Qlik Compose for data integration. 
• Strong SQL expertise, with experience in writing and optimizing queries for Redshift. 
• Experience working with Bronze, Silver, and Gold layer architectures. 
• Knowledge of Change Data Capture (CDC) pipelines from multiple sources. 
• Experience working with AWS S3 Data Lakes. 
• Experience working with Apache Parquet for data storage optimization. 
• Basic understanding of Python for automation and data processing. 
• Experience in cloud-based data architectures (AWS, Azure, GCP) is a plus. 
• Strong analytical and problem-solving skills. 
• Ability to work in a fast-paced, agile environment. 

Preferred Qualifications: 

• Experience in performance tuning and cost optimization in Redshift. 
• Familiarity with big data technologies such as Spark or Hadoop. 
• Understanding of data governance and security best practices. 
• Exposure to data visualization tools such as Qlik Sense, Tableau, or Power BI. 

The Business Development Executive will be responsible for identifying and developing new business opportunities, building relationships with potential clients, and helping drive sales for the company’s digital marketing services. This role requires a proactive individual with excellent communication, negotiation, and relationship-building skills. The ideal candidate will have a strong understanding of the digital marketing landscape and a passion for sales.

Key Responsibilities

• Lead Generation & Prospecting.
• Must be having ability to reach US and Canada clients.
• Identify new business opportunities and generate leads through research, networking, cold calling, and attending industry events.
• Qualify and convert leads into opportunities through effective communication and follow-up.
• Conduct market research to identify potential clients in target industries.
• Engage with prospective clients to understand their digital marketing needs and objectives.
• Develop and deliver compelling sales presentations and proposals tailored to client requirements.
• Build and maintain strong, long-term relationships with clients to ensure satisfaction and repeat business.

Sales Strategy & Execution

• Collaborate with the sales and marketing teams to create strategies for client acquisition and revenue growth.
• Meet and exceed sales targets and KPIs on a monthly, quarterly, and annual basis.
• Finalize agreements and navigate contract negotiations to align with client needs.

Marketing Services / Analysis

• Stay up-to-date with the latest trends in digital marketing, SEO, PPC, social media, and other related services.
• Effectively communicate the company’s services and value propositions to potential clients.
• Provide feedback to the marketing team to refine service offerings based on client feedback and market demands.
• Maintain accurate records of all sales activities, client communications, and progress through the CRM system.
• Analyze sales data and metrics to identify opportunities for improvement and refine sales strategies.

Key Skills & Qualifications

Experience

• 0.6 – 4 years of experience in business development, sales, or digital marketing (preferred).
• Proven experience in lead generation, client acquisition, and sales growth.
• Familiarity with digital marketing services (SEO, PPC, content marketing, social media) is a plus.

Skills

• Strong communication, negotiation, and presentation skills.
• Ability to build and maintain relationships with clients and internal teams.
• Knowledge of CRM software and sales tools.
• Analytical mindset and ability to work with sales data to improve performance.
• Self-motivated, results-driven, and a strong team player.

Schedule:

• Monday to Friday
• Night shift
• US shift

Supplemental Pay:

• Performance bonus

Education: Bachelor's (Preferred)

Work Location: In person

• Demonstrable experience as a Robotic Process Automation Developer using Robotic
  technologies, particularly with UiPath.
• Act as a Subject Matter Expert with Robotic Process Automation Development and
  technologies, especially around UiPath.
• Should have Advanced Developer certification from UiPath.
• Strong Customer-facing experience.
• Command on UiPath RE Framework.
• Strong Software Development Skills in Automation Software.
• Experience in working with .NET Framework and customization.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

• Strong Python Coding skills and OOP skills
• Should have worked on Big Data product Architecture
• Should have worked with any one of the SQL-based databases like MySQL, PostgreSQL and any one of
• NoSQL-based databases such as Cassandra, Elasticsearch etc.
• Hands on experience on frameworks like Spark RDD, DataFrame, Dataset
• Experience on development of ETL for data product
• Candidate should have working knowledge on performance optimization, optimal resource utilization, Parallelism and tuning of spark jobs
• Working knowledge on file formats: CSV, JSON, XML, PARQUET, ORC, AVRO
• Good to have working knowledge with any one of the Analytical Databases like Druid, MongoDB, Apache Hive etc.
• Experience to handle real-time data feeds (good to have working knowledge on Apache Kafka or similar tool)

• Python and Scala (Optional), Spark / PySpark, Parallel programming

• Cross-platform mobile app developers who have developed mobile apps with a familiarity of Ionic/Flutter
• Develop and Manage Mobile Application in Hybrid - Android / iOS Platform
• Mobile app architecture planning
• Mobile app design and optimization, able to provide a solution to improve mobile app quality, understand emerging technologies, standards and best practices to bring mobile app product to the next level
• Continuously discover, evaluate, and implement new technologies and frameworks to maximize development efficiency
• Estimate timelines and deliver as per schedule
• Solid knowledge of mobile app development practices, along with mobile testing tools and techniques
• Expertise in optimizing the app for performance
• Experience using agile principles and methodologies
• Deep understanding of the mobile landscape and behavior patterns is mandatory