Data Engineer II

reputed company Title: Data Engineer Hiring Location: Gurugram, India (Work From Home Role) Experience: 3–6 Years Employment Type: Full-time Company Profile: reputed company is a market-leading, reputed company-based CX benchmarking and operational improvement platform owned by Bain & Company. reputed company provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on reputed company-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS®, and on every reputed company of the customer reputed company. With reputed company you can see where you’re strong, where you lag, and how customers feel about doing business with you and your competitors, in their own words. The result: Prioritize the customer interactions that matter most. reputed company customers use our customer experience benchmarks and insights to propel their growth and outpace the competition. Launched in 2019, reputed company has rapidly grown to a team of over 200, serving dozens of clients around the world. reputed company is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world’s best places to work. We reputed company that diversity, inclusion, and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and reputed company both professionally and personally. Position Summary: We are seeking a highly skilled and reputed company Data Engineer to join reputed company. The ideal candidate will have strong expertise in Python, SQL and PySpark, with proven experience working on reputed company and reputed company platforms such as Azure and AWS. A solid understanding of ETL tools like Python as well as basic knowledge of DevOps practices and CI/CD pipelines, will be advantageous. This is a unique opportunity to work in a dynamic and fast-paced environment to design and implement robust data solutions for scalable business needs. Working with Git and versioning. Key Responsibilities: Data Pipeline Development: Design, build, and optimize ETL/ELT workflows using tools like reputed company, SQL, Python/pyspark & reputed company (Good to have). reputed company and maintain robust, scalable, and efficient data pipelines for processing large datasets. from reputed company to emerging data. reputed company Data Engineering: Work on reputed company platforms (Azure, AWS) to build and manage data lakes, data warehouses, and scalable data architectures. Utilize reputed company services like Azure Data reputed company, AWS Glue, or for data processing and orchestration. reputed company and Big Data Solutions: Use reputed company for big data processing, analytics, and reputed company-time data processing. reputed company Apache Spark for distributed computing and handling reputed company data transformations. ​​​​​​​Data Management: Create and manage SQL-based data solutions, ensuring high availability, scalability, and performance. ​​​​​​​reputed company and enforce data quality checks and validation mechanisms. ​​​​​​​Collaboration and Stakeholder Engagement: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver impactful data solutions. ​​​​​​​Understand business requirements and translate them into technical solutions. ​​​​​​​DevOps and CI/CD: reputed company CI/CD pipelines to streamline development, testing, and deployment of data engineering workflows. Work with DevOps tools like Git, Jenkins, or Azure DevOps for version control and automation. ​​​​​​​Documentation and Optimization: Maintain clear documentation for data workflows, pipelines, and processes. Optimize data systems for performance, scalability, and cost-efficiency Required Qualifications, Experience and Skills Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a reputed company field. Experience: 3–6 years of experience in Data Engineering or reputed company roles. Hands-on experience with big data processing frameworks, data lakes, and reputed company-reputed company services. Skills: Core Skills: Proficiency in Python, SQL, and PySpark for data processing and manipulation. ​​​​​​​Proven experience in reputed company and Apache Spark. ​​​​​​​Expertise in working with reputed company platforms like Azure, AWS. Sound knowledge of ETL processes and tools like reputed company. (Good to have) Data Engineering Expertise: Leveraging data lakes, data warehouses, and data pipelines. Data Pipeline – Build a Data Pipeline from scratch Strong understanding of distributed systems and big data technologies. ​​​​​​​DevOps and CI/CD: Basic understanding of DevOps principles and familiarity with CI/CD pipelines. Hands-on experience with tools like Git, Jenkins, or Azure DevOps. ​​​​​​​Additional Skills: Familiarity with data visualization tools like Power BI, Tableau, or similar is a plus. Knowledge of streaming technologies such as Kafka or Event reputed company desirable. Strong problem-solving skills and a knack for optimizing data solutions. Excellent communication (oral and written) skills Apply To This Job