Azure Data Engineer
mumbai, India
Quantanite
Welcome to next-generation outsourced digital services for customer and business operations. Visit Quantanite today.Company Description
Quantanite is a specialist business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We are an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed-up with exceptional results. We have big dreams, and are constantly looking for new colleagues to join us who share our values, passion and appreciation for diversity.
The company is headquartered in London, with delivery centers in Dhaka (Bangladesh), Johannesburg (South Africa) and Thane (India). The current positions are for our Thane, India delivery center.
Job Description
Build systems or interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with customer applications
Transform the raw data into usable information as per the defined requirements
Load the data in a defined structured format(s) into the respective data store
Implement entire data pipeline of data crawling, ETL , creating Fact Tables, Data quality management etc.
Collaborate with operations SMEs and MIS / Reporting teams to ensure that solutions are delivered on time, within budget, and to a high quality
Evaluate existing data files landscape and design an implementation path for the desired or to-be data solution(s).
Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project
Ensure that solutions meet the best practices for security, performance and data management
Positively and constructively engage with clients and operations teams’ efforts where required.
Qualifications
A Bachelor's degree in Computer Science, Software Engineering, or a related field
Minimum 5 years of hand-on experience in data engineering, SQL / ETL programming on Azure stack i.e. Azure Data factory, Azure Databricks, Azure DevOps, Azure Data Lake storage (Gen1/Gen2), Azure Synapse/SQL.
Expertise in designing/deploying data pipeline, from data crawling, ETL, Data warehousing, data applications on Azure.
Proficient in programming languages like Python
Experienced in using tools like Rational suite, Enterprise Architect, Eclipse, and Source code versioning systems like Git
Experience with different development methodologies (RUP | Scrum | XP)
Familiarity with AI/ML technology in data space will be an added advantage
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Ability to work effectively in a fast-paced environment
Work experience in IT Outsourcing and/or Business Process Outsourcing companies is a big plus
Additional Information
Benefits
At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include:
Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home.
Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements.
Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion.
Events: Regular team and organisation-wide get-togethers and events.
Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science CX Databricks Data management Data quality Data Warehousing DevOps Engineering ETL Git Machine Learning Python Scrum Security SQL
Perks/benefits: Career development Flat hierarchy Team events Travel
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