
Job Description:
As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.
Responsibilities:
- Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
- Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
- Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
- Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
- Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.
Qualifications:
- BE Computer Science or a related field.
- ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
- Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Proficiency in DBT (Data Build Tool) for data transformation and modelling.
- Experience working with any Master Data Management (MDM) tools.
- Experience with data governance and metadata management tools such as Azure Purview or similar.
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with big data technologies such as Hadoop, Spark, and Kafka.
- Strong leadership skills with the ability to lead and mentor a team of engineers.

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Company Description: A content consumption and discovery app which provides news and other trending content. It was started in 2013 with the aim of keeping people informed by presenting news in an easily consumable format. It is the highest-rated news app on Google Play Store.
The ideal candidate will lead initiatives to generate and engage with business partners to build new business for the company. This candidate should have strong communication skills. They should be able to think critically when making plans and should be energetic to execute a particular strategy.
· Deal with direct buyers and investors to sell Indian Real estate projects · Identify partnership opportunities with Corporates.
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· Must have knowledge of direct and B2C sales.
· Strong communication and interpersonal skills.
· Proven knowledge and execution of successful development strategies.
· Focused and goal-oriented.
· MUST HAVE SALES ACUMEN
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SoftwareSuggest & CallHippo requires language geeks who can write attractive tech content. The only qualification is the command over language and if you are experienced than it is the cherry on the top!
You can work from your location.
Experience:- 3Years+
Should Possess following skills:
- Excellent verbal and written communication skills
- Understanding of web publishing requirements
- Expertise in social media platforms
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Should be good at:
- Writing web content for website/ portals from scratch
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B.E. / B.Tech/ M.Tech in Computer Science
Skills
●Proper understanding of different programmingsoftwares/subjects related to undergraduate courses ofComputer Science domain.
●Knowledge ofArtificial Intelligence and Machine learningwould be aplus.
●Excellent interpersonal and communication skills
●Problem solving attitude with good command on logicalreasoning skills
●Ability to work independently with minimal supervision
●Keen to learn about new tools & technologies for use inchanging situations.
●Comfortable in working in a fast paced environment withgreat efficiency.
Roles and Responsibilities
●Solving questions of the students from across the globeon the TutorBin board.
●Working on tasks involving various subjects/softwarerelated to undergraduate / postgraduate courses ofComputer Science.
●Reviewing the works completed by the tutor on ourplatform and providing necessary instructions forrectification as required.
●Ensuring the overall quality of work provided to thestudents from our platform.
●Management of the tutors on our platform, theiron-boarding and performance review.
●Planning & implementing the training of the new tutorson our platform.
The right candidate will work well, think outside the box, and be highly self-motivated.
Responsibilities
Generate qualified leads by rigorously prospecting in the assigned region or market via outbound model.
Respond quickly and qualify inbound marketing leads via web form or web chat, as required.
Do rigorous research on companies, present solution, doing demo, and follow-ups.
Be product expert and champion.
Come up with creative emails and campaigns to draw the attention of prospects.
Collate and help Product and Marketing teams with feedback.
Job Requirements
Proven work experience of min one year as an Inside Sales Representative or similar role.
Prior SDR experience in SaaS product firms is mandatory
Previously handled products with pricing in range of 500 to 1000USD monthly billing is mandatory
SMB and or Mid-Market experience mandatory
Flexibility in working in different shifts/regions like US Or UK or Global Markets mandatory -
Good To Have
Prior exposure to tools like LinkedIn Sales Navigator, DiscoverOrg, ZoomInfo, Slintel, Hubspot etc.
Collaborate with the CIO on application Architecture and Design of our ETL (Extract, Transform,
Load) and other aspects of Data Pipelines. Our stack is built on top of the well-known Spark
Ecosystem (e.g. Scala, Python, etc.)
Periodically evaluate architectural landscape for efficiencies in our Data Pipelines and define current
state, target state architecture and transition plans, road maps to achieve desired architectural state
Conducts/leads and implements proof of concepts to prove new technologies in support of
architecture vision and guiding principles (e.g. Flink)
Assist in the ideation and execution of architectural principles, guidelines and technology standards
that can be leveraged across the team and organization. Specially around ETL & Data Pipelines
Promotes consistency between all applications leveraging enterprise automation capabilities
Provide architectural consultation, support, mentoring, and guidance to project teams, e.g. architects,
data scientist, developers, etc.
Collaborate with the DevOps Lead on technical features
Define and manage work items using Agile methodologies (Kanban, Azure boards, etc) Leads Data
Engineering efforts (e.g. Scala Spark, PySpark, etc)
Knowledge & Experience
Experienced with Spark, Delta Lake, and Scala to work with Petabytes of data (to work with Batch
and Streaming flows)
Knowledge of a wide variety of open source technologies including but not limited to; NiFi,
Kubernetes, Docker, Hive, Oozie, YARN, Zookeeper, PostgreSQL, RabbitMQ, Elasticsearch
A strong understanding of AWS/Azure and/or technology as a service (Iaas, SaaS, PaaS)
Strong verbal and written communications skills are a must, as well as the ability to work effectively
across internal and external organizations and virtual teams
Appreciation of building high volume, low latency systems for the API flow
Core Dev skills (SOLID principles, IOC, 12-factor app, CI-CD, GIT)
Messaging, Microservice Architecture, Caching (Redis), Containerization, Performance, and Load
testing, REST APIs
Knowledge of HTML, JavaScript frameworks (preferably Angular 2+), Typescript
Appreciation of Python and C# .NET Core or Java Appreciation of global data privacy requirements
and cryptography
Experience in System Testing and experience of automated testing e.g. unit tests, integration tests,
mocking/stubbing
Relevant industry and other professional qualifications
Tertiary qualifications (degree level)
We are an inclusive employer and welcome applicants from all backgrounds. We pride ourselves on
our commitment to Equality and Diversity and are committed to removing barriers throughout our
hiring process.
Key Requirements
Extensive data engineering development experience (e.g., ETL), using well known stacks (e.g., Scala
Spark)
Experience in Technical Leadership positions (or looking to gain experience)
Background software engineering
The ability to write technical documentation
Solid understanding of virtualization and/or cloud computing technologies (e.g., docker, Kubernetes)
Experience in designing software solutions and enjoys UML and the odd sequence diagram
Experience operating within an Agile environment Ability to work independently and with minimum
supervision
Strong project development management skills, with the ability to successfully manage and prioritize
numerous time pressured analytical projects/work tasks simultaneously
Able to pivot quickly and make rapid decisions based on changing needs in a fast-paced environment
Works constructively with teams and acts with high integrity
Passionate team player with an inquisitive, creative mindset and ability to think outside the box.
● Inbound calling for customer service.
● Identify and assess customers’ needs to achieve satisfaction.
● Build sustainable relationships and trust with customer accounts through open and interactive
communication.
● Provide accurate, valid and complete information by using the right methods/tools.
● Handle customer complaints, provide appropriate solutions and alternatives within the time limits;
follow up to ensure resolution.
● Keep records of customer interactions, process customer accounts.
● Follow communication procedures, guidelines and policies.
● Take the extra mile to engage customers.









