Asst. Manager - Digital sales

Data Engineer 

Mandatory Requirements  

• Experience in AWS Glue 

• Experience in Apache Parquet  
• Proficient in AWS S3 and data lake  
• Knowledge of Snowflake 
• Understanding of file-based ingestion best practices. 
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS  
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies  
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform  

• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations  
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data. 
• Define process improvement opportunities to optimize data collection, insights and displays. 
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible  
• Identify and interpret trends and patterns from complex data sets  

• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.  
• Key participant in regular Scrum ceremonies with the agile teams   
• Proficient at developing queries, writing reports and presenting findings  
• Mentor junior members and bring best industry practices  

QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)  
• Strong background in math, statistics, computer science, data science or related discipline 
• Advanced knowledge one of language: Java, Scala, Python, C#  
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake   

• Proficient with 
• Data mining/programming tools (e.g. SAS, SQL, R, Python) 
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum) 
• Data visualization (e.g. Tableau, Looker, MicroStrategy) 
• Comfortable learning about and deploying new technologies and tools.  

• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.  
• Good written and oral communication skills and ability to present results to non-technical audiences  
• Knowledge of business intelligence and analytical tools, technologies and techniques. 

Familiarity and experience in the following is a plus:  

• AWS certification 
• Spark Streaming  
• Kafka Streaming / Kafka Connect  
• ELK Stack  
• Cassandra / MongoDB  

• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools 

• Conduct user research, including user interviews, surveys, and usability testing, to understand user needs and behaviors.
• Analyze user data and feedback to identify pain points and opportunities for improvement.
• Create user personas, user flows, and journey maps to visualize the user experience.

Interaction Design (UX):

• Develop wireframes, prototypes, and interactive mockups to illustrate design concepts.
• Design intuitive and user-friendly navigation and information architecture.
• Ensure consistency and accessibility across all platforms and devices.
• Conduct usability testing and iterate on designs based on feedback.

Visual Design (UI):

• Create visually appealing and consistent user interfaces that align with brand guidelines.
• Design high-fidelity mockups and UI components.
• Develop and maintain design systems and style guides.
• Work closely with developers to ensure proper implementation of designs.

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.

• Install, configure, and maintain Kubernetes clusters.
• Develop Kubernetes-based solutions.
• Improve Kubernetes infrastructure.
• Work with other engineers to troubleshoot Kubernetes issues.

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Linux/Unix experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

Channel Partner Executive / Manager JD

Key Responsibilities

• To develop Channel as a separate entity with defined Sales Target
• Identify and Onboard new channel partners
• Collaborate with sales team
• Manage the performance of existing partners and develop strategies to improve revenue
• Develop and maintain relationships with partners
• Identify and resolve conflicts
• Developing new sales channels
• This assignment begins with Channel development in India and USA

Qualification

• MBA Marketing / IB
• Experience of SAAS product company preferred
• Channel development and management experience
• Proficiency in Customer Relationship Management (CRM)
• Strong problem solving and negotiation skills

• REQUIREMENTS

  • Write hand-coded HTML5, JS, and CSS(SCSS) that is thoroughly standards-compliant.

  • Solid Javascript experience.
    -WordPress Must needed
    -Experience designing and developing responsive design websites

  • Knowledge of modern authorization mechanisms, such as JSON Web Token

  • You know how to architect all components of a frontend project

  • You have experience reading API documentation and working with different endpoints to compose the desired effect

  • You know how to run projects through solid processes (things like code reviews, reviewing stories, planning)

  • Ability to understand business requirements and translate them into technical requirements

  • Picks up new technologies quickly and efficiently

  • Uses Git effectively

  • Know how to create tests and why it's important

  • Knowledge of OOP and software design principles

  • You know how to optimize frontend load times, debug rendering issues, and overall provide a smooth experience to the user.

  • Knowledge of responsive frontends

  • You don't have to be an expert in backend tech, but you'll need to understand how to integrate with the backend guys.

  • Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform

• WHAT do WE expect?

  • Someone who is comfortable taking on multiple projects at the same time, juggling tasks.

  • Experience of working in and collaborating with teams

  • Should take ownership of tasks.

  • Acumen. You must be able to think and judge multiple solutions for a problem and be able to reason between them.

   

  GOOD TO KNOW

  • Experience in Linux and command-line interface.

  • JS/Webpack/Browserify.

CTC

ECTC 

Notice Period

Current Location 

Preferred Location  

Job Description:

Overview
Analyzes, develops, designs, and maintains software for the organization’s products and systems. Performs system integration of software and hardware to maintain throughput and program consistency. Develops, validates, and tests: structures and user documentation. Work may be reviewed for accuracy and overall adequacy. Follows established processes and directions
ü 3 – 8years of overall industry experience with a bachelor’s degree in an appropriate engineering discipline.
ü 3+ years of experience in network protocol stack design and Android networking software components. (e.g. DHCP, TCP/IP, UDP, Socket Programming, Routing concept, Subnet Concept etc.)
ü WLAN device driver design & development skills for Qualcomm, Broadcom, Marvel or MediaTek Wi-Fi stack.
ü Solid understanding of Wi-Fi 802.11 principles and functionality. Must be able to speak to topics including Wi-Fi roaming logic, security protocols (WPA, WPA2..), etc.
ü Proficient in debugging and implementing Linux device drivers.
ü Working knowledge of development and debugging tools on Android OS, including Klocworks.
ü Experience with network protocol stack design and Android networking software components. (e.g. DHCP, TCP/IP, UDP, Socket Programming, Routing concept, Subnet Concept etc.)
ü Experience with bus interfaces (PCIe, USB, SDIO, etc.). This is to make sure issues can be debugged related to SDIO, USB and PCIe interface between Wi-Fi driver and firmware communication path.
ü Should very capable in handling Wireshark and omni peek wireless sniffer tools to capture wireless packets and analyze the network and device problems.

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.
• To contact potential customers and identify new business opportunities.
• To stay abreast with customer needs, market trends and competitors.
• To maintain clear and complete sales reports for management review.
• To build strong relationships with customers for business growth.
• To analyze sales performances and recommend improvements.
• To ensure that sales team follows company policies and procedures at all times.
• To develop promotional programs to increase sales and revenue.
• To plan and coordinate sales activities for assigned projects.