Data Management Executive

·    What you’ll be doing:

  Architecting and delivering mid to large scale Enterprise Applications on Microsoft Platform.

·      Recommending and participating in activities related to the design, development and maintenance of the Enterprise Application Architecture.

Delivering projects on time with quality.

·      Provide technical leadership regarding technology or project to customers and team members

·      Shares best practices, lessons learned and constantly updates the technical system architecture requirements based on changing technologies and knowledge related to recent, current and up-coming vendor products and solutions.

·      Participate in technical forums and discussion within the team and with clients.

·      Guides and mentors’ team in terms of technical solutioning.

What you’ll bring to the team:

·      You have 15+ years of experience in Strong design & coding experience in Dot net framework using design patterns & OOPs concepts.

·      You have practical knowledge & good understanding of cross technology and functional domains, programming concepts and logical approach for problem solving.

You hold rich experience on web development technologies including ASP.NET, MVC5, JavaScript, jQuery, HTML5, AJAX, XML and CSS.

·      You have experience in web application Architecture and Development with hands on expertise in delivering solutions, customizing C#, ASP.Net applications using development tools like Visual Studio 2010/2012.

DATA ENGINEER

Overview

They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.

Job Description:

We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.

Responsibilities:

Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.

Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.

Optimize and tune the performance of data systems to ensure efficient data processing and analysis.

Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.

Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.

Implement and maintain data governance and security measures to protect sensitive data.

Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.

Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.

Qualifications:

Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.

Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.

Strong programming skills in languages such as Python, Java, or Scala.

Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.

Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).

Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).

Solid understanding of data modeling, data warehousing, and ETL principles.

Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).

Strong problem-solving and analytical skills, with the ability to handle complex data challenges.

Excellent communication and collaboration skills to work effectively in a team environment.

Preferred Qualifications:

Advanced knowledge of distributed computing and parallel processing.

Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).

Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).

Experience with data visualization and reporting tools (e.g., Tableau, Power BI).

Certification in relevant technologies or data engineering disciplines.

• B.Tech in Computer Science/Information Technology or related field with 5-7 years of relevant experience
• Strong hand in Data Structures and Algorithms
• Proficiency in Java language, Collection & Maps, Exceptional Handling, Object-Oriented Concepts, Design Patterns, Multithreading, and File I/O
• Expertise in Mobile App Automation with Espresso, Appium and/or XCUITest is a must
• Experience in Android Activity life cycles, Android Versions- Builds and apks, App development
• Having solid understanding of tools - jUnit, TestNG, Git Commands, Jenkins Job Setup, Gradle, Maven, and CI/CD
• Candidate with knowledge of Swift, XCUITest, XCUI Tests Scripting, Test Framework Knowledge, Scheme Creation, Cloud Device Management, XCUI Performance and Profiling, XCUI Coverage, SonarCube and Xcode is preffered
• Decent experience in Server Automations, Rest Services, and Controllers, Server Testcases, Jar/war Deployment, SpringBoot, Backend architecture, MySQL/NoSQL, mongo, Redis, Zookeeper