Marketing Analyst

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.

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

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

Roles and Responsibilities

• o Highly skilled in back-end development using .NET C#
• o Strong experience in Microsoft Azure environment
• o Strong experience in REST API development
• o Experienced in Microservice architecture
• o Experienced in an agile development and project environment
• o Experienced with Microsoft Teams, Git and GitHub
• o Strong ability to produce technical documentation for developed solution
• o Familiar with agile development tools like Atlassian jira favourable
• o Familiar with Azure SQL favourable
• o Understanding of CI/CD favourable

Job Description for Telecalling executive

1.Contact potential customers to promote solar energy products and services, including solar panel installation, maintenance, and energy savings.

2. Identify and qualify potential leads through phone conversations

3.Address customer inquiries, provide relevant information, and assist in setting up appointments for site assessments

4.Regularly follow up with leads and existing customers to close sales or resolve any issues.

Candidate Skills:

• Excellent interpersonal and communication skills.
• Good hands on experience in React JS
• Strong JavaScript fundamentals
• Knowledge of HTML5/CSS3 is plus.
• Knowledge in Natural Language Processing is plus.
• Knowledge of database technologies like Hadoop / MySQL / SQL / No SQL is a plus.
• Experience consuming RESTful APIs
• Enthusiastic in problems solving and is proactive.

Qualifications:

• MCA/BE/B.Tech

Job Brief:

• Review requirements, specifications, and technical design documents to provide timely and meaningful feedback
• Create detailed, comprehensive, and well-structured test plans and test cases
• Estimate, prioritize, plan and coordinate testing activities
• Design, develop and execute automation scripts using open source tools
• Identify, record, document thoroughly, and track bugs
• Perform thorough regression testing when bugs are resolved
• Develop and apply testing processes for new and existing products to meet client needs
• Liaise with internal teams (e.g. developers and product managers) to identify system requirements
• Monitor debugging process results
• Investigate the causes of non-conforming software and train users to implement solutions
• Track quality assurance metrics, like defect densities and open defect counts
• Stay up-to-date with new testing tools and test strategies
• 
  
• The exciting part of joining our organization is here for you. Once you complete a career span of 1year and above in our company based on your performance, you will get an opportunity to work in our onshore office in "Australia".

Job responsibilities of the candidate include

• Politely speaking with customers and understanding their queries.
• Documenting customer queries in system.
• Responding to customer queries based on SOP.
• Min 12th passed