Analytics Engineer

Experience: Fresher

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office (Mumbai)

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers' client - Collinson)

What do you need for this opportunity?

Must have skills required:

AWS, SQL, Snowflake, Tableau, PowerBI, Python, NO SQL, Data Modelling, APIS, DWH, Data lake, Mongo

Collinson is Looking for:

Key Responsibilities

• Design, develop, and maintain low-code enabled data pipelines for collecting, transforming, and loading data into various data stores and build insightful reports.
• Build and maintain data warehousing and data lake solutions that support quick and efficient reporting and insights
• Develop and deploy data models that cater to various business requirements and enable efficient data analysis
• Lead the design of data solutions with a focus on automation, performance, and quick report generation
• Ensure data is readily available for business and analytics consumption and monitor the quality of the data
• Collaborate with cross-functional teams and stakeholders to understand data requirements and drive data-driven initiatives
• Prototype and adopt new approaches to drive innovation into the solutions and ensure they are aligned with industry trends and advancements
• Develop and implement the data roadmap for strategic data sets and communicate progress to both technical and non-technical stakeholders
• Communicate complex data solutions in a clear and understandable manner to both experts and non-experts
• Interact with stakeholders and clients to understand their data requirements and provide low-code enabled solutions
• Stay up-to-date with industry trends and technology advancements in data engineering and analytics
• Champion the importance of modern data solutions across the business and promote the value of obtaining good quality data.
• Knowledge, Skills, and experience required
• Extensive experience leading AWS and cloud data platform transformations
• Proven track record of delivering large-scale data and analytical solutions in a cloud environment
• Hands-on experience in end-to-end data pipeline implementation using AWS services, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance
• Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh
• Strong knowledge of data architecture and data modelling practices, with the ability to cost-effectively manage data pipelines
• Data Modelling,Python, SQL, NoSQL DBs (Mongo), Snowflake, AWS Cloud, APIs, Tableau, PowerBI, DQ Framework, DWH, Real time reporting

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!