Data Analyst
Job Description
Summary
Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.
At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.
Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.
Key Qualifications
- Experience in building highly cost optimised data analytics solutions
- Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
- Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
- Experience in working with AWS or GCP
- Experience with relational and NoSQL databases
- Experience to full stack web development (Preferably Python)
- Expertise with data visualisation systems such as Tableau and Quick Sight
- Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
- Familiarity with ML/AÍ technologies is a plus
- Demonstrate strong understanding of development processes and agile methodologies
- Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly
Description
Data Analytics is at the core of our work, and you will have the opportunity to:
- Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
- Lead quick prototypes by integrating data from multiple sources
- Do advanced Business Analytics through ad-hoc SQL queries
- Work on Sales Finance reporting solutions using tableau, HTML5, React applications
We build amazing experiences and create depth in knowledge for our internal teams and our leadership. Our team is a friendly bunch of people that help each other grow and have a passion for technology, R&D, modern tools and data science.
Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..
Education & Experience
A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.
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- Handling of Regulatory audits and submissions.
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- Provide guidance and trainings to Project team members in the field regarding IT governance.
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Role: DevOps
Job Description:
We are looking for experienced DevOps Engineers to join our Engineering team. The candidate will be working with our engineers and interact with the tech team for high quality web applications for a product.
Required Experience
- Devops Engineer with 2+ years of experience in development and production operations supporting for Linux & Windows based applications and Cloud deployments (AWS/GC stack)
- Experience working with Continuous Integration and Continuous Deployment Pipeline
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Create content to be used for blog posts, social media, press releases, and other platforms.
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Research industry-related topics.
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Collaborate/coordinate with the marketing team to prepare various marketing collateral and communications for both public and internal use.
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Compose and develop content for all communication channels and across mediums (digital, print, web).
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Learn the functions of internally developed software to write end-user documentation (such as online help, quick reference guides, and release notes).
REQUIREMENTS- -
Should have a good understanding of SEO best practices to increase traffic to the company website.
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Must have a flair for creative writing
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1-3 years experience in content writing for a B2B company
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Knowledge of tools like Grammarly or equivalent, Keyword research tools
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Knowledge of content distribution is preferred
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Skills Required
C#, SQL, ASP.NET, MSSQL, .NET Framework, Web API, XML, JSON, AJAX, jQuery, JavaScript, ADO.NET, WCF, IIS 7.5, NUnit, LINQ, Web services, UI Development, OOPS Concepts.
Key Accountabilities & Deliverables
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- Write clean, scalable code using .NET programming languages
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Java or Scala web developer with 8 to 12 years of experience and strong fundamentals/proficiency in core technologies used for web development - HTML, CSS, JavaScript, Spring and Hibernate (to include relational database experience). -
Object oriented analysis and design patterns using Java/J2EE technologies,
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Knowledge on Spring Framework, MVC architectures, ORM frameworks like Hibernate
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Experience with Restful Web Services, data modeling
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Strong experience in relational database design and development (preferably with Oracle) and understanding of NoSQL databases like HBase, Druid, Solr
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Experience working with event/message-based communication platforms such as Kafka, ActiveMQ etc.,
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Experience working with Hadoop technologies and Spark framework
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We are urgently looking Azure Data Factory Engineers with 3 to 7 years of overall experience, having good experience on Azure Data Factory and SSIS.
Requirements:
- Qualification: Engineering Graduate.
- Years of Experience: 2+ yrs of relevant experience on Azure Data Factory & SSIS.
- Strong understanding of ETL/ELT concepts.
- Hands on experience on Azure Data Factory.
- Exposure of Cloud technologies, standards, and platforms.
- Sound knowledge of ADF pipeline, configuration, parameters, variables, Integration services runtime (part of Data Factory).
- Strong Experience on SSIS.
- Sound knowledge of implementing slowly changing dimensions and transactional, fact less, snapshot fact tables.
- Azure Data Warehouse.
- Knowledge on Azure components especially file storage and Azure Sql, Blob storage and Data Lake Gen2 storage (just used as a file system on the blob).
- Azure Data Migration tool.
- Well versed with RDBMS systems like Sql server, DDL, DML scripts.
- Sound knowledge of T-SQL and stored procedures.
- Strong Query writing skills, Scheduling tools.
- Ensure quality deliverable and ability to extend work hours if required.
- Azure Certification: Preferred.
- Ability to understand Customer requirements and convert the requirements into technical specifications.
- Ability to understand the overall solution and design components to fit the overall solution.
- Ability to take technical decisions and support the decisions with justifications.
- Ability to work in Agile manner.
- Ability to work independently without much guidance.
- Self-Motivated, team player, results oriented, strong Time Management skills.
- Excellent written and verbal communication skills.
- Willing to travel to outside India (Short term as well as long term)