Position: Data Engineer (Junior / Senior / Principal)
Desired Experience: 3–9+ Years
Compensation: Best-in-Industry

About the Role
As a Data Engineer, you will be a key member of the Data Consulting team, working directly with partners, architects, CTOs, product owners, and senior client stakeholders to design, build, and implement Big Data and Analytics solutions. You will contribute to the development of scalable, cloud-native data platforms that enable advanced analytics, AI, and business intelligence.
Communication and organizational skills are key for this position, along with a strong problem-solving attitude. Depending on your experience level, you will contribute to or lead the design, implementation, optimization, and delivery of enterprise-scale Data Engineering solutions.

What is in it for you?
Opportunity to work with a world-class team of business consultants, architects, and engineers solving some of the most complex business problems using Data Engineering, Analytics, and AI.
Exposure to enterprise-scale Big Data and Cloud projects across multiple industries.




Fast-track career growth in a highly entrepreneurial work environment.
Opportunity to work with cutting-edge Data Engineering and Cloud technologies.
Best-in-industry remuneration package.

Essential Technical Skills
Solid technical expertise in modern Big Data technologies including Python, Apache Spark, Hadoop, Clojure, Git, SQL, and Databricks.
Hands-on experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and modern cloud-based data platforms.
Experience working with Azure and/or Google Cloud Platform (GCP).
Experience with cloud infrastructure, containerization, and microservices.
Hands-on experience in designing and developing scalable ETL/ELT pipelines.
Experience working with divergent datasets supporting Data Science and Data Analytics teams.
Strong understanding of Data Integration, Data Transformation, Data Modelling, Query Optimization, and Complexity Analys

📌 Data Engineer (India)
🏢 Aays
📍 India