๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฒ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ฌ-๐ฒ๐ฑ ๐๐ฃ๐)
Experience: 5+ yrs
Location: India
Job Type: Full-time
As a Data Engineering and Analytics professional, you will work on designing, developing, and optimising modern data platforms that support analytics, business intelligence, and AI-driven use cases. You will collaborate with engineering, analytics, product, and business teams to build robust data solutions that can scale with evolving business requirements.
The role involves working with cloud platforms, Databricks, data pipelines, data processing, analytics, and modern data architectures . You will contribute to end-to-end data initiatives, from understanding requirements and designing solutions to implementation, optimisation, and production support.
Requirements
Key Responsibilities
โขDesign, develop, and maintain scalable data engineering and analytics solutions .
โขBuild reliable and efficient data pipelines for batch and real-time data processing.
โขDevelop data platforms and workflows using Databricks and modern cloud technologies .
โขWork with large and complex datasets to support analytics, reporting, and AI-driven applications.
โขDesign data models and optimise data processing workflows for performance and scalability.
โขIntegrate data from multiple structured and unstructured sources.
โขImplement data quality, validation, monitoring, and governance practices.
โขCollaborate with data scientists, analysts, engineers, product teams, and business stakeholders.
โขTranslate business requirements into scalable technical and data solutions.
โขTroubleshoot data pipeline, processing, performance, and integration issues.
โขOptimise existing data architectures and workflows to improve reliability, efficiency, and cost.
โขContribute to cloud-based data architecture and platform modernisation initiatives.
โขDevelop reusable frameworks, components, and best practices for data engineering.
โขSupport the deployment, monitoring, and maintenance of data solutions in production environments.
โขStay current with emerging technologies in data engineering, cloud, analytics, AI, and modern data platforms .
What Makes You a Great Fit
โข5+ years of professional experience in data engineering, analytics engineering, data platforms, or a related technology role.
โขStrong experience designing and developing scalable data pipelines and data processing solutions .
โขHands-on experience with Databricks and modern cloud-based data platforms.
โขStrong understanding of data engineering concepts, data modelling, ETL/ELT, and distributed data processing.
โขExperience working with one or more major cloud platforms such as AWS, Azure, or GCP .
โขStrong programming and scripting skills in technologies such as Python, SQL, Scala, or Java .
โขExperience working with relational and non-relational databases and large-scale datasets.
โขGood understanding of data architecture, integration patterns, performance optimisation, and data quality.
โขExperience supporting analytics, business intelligence, machine learning, or AI-driven use cases.
โขStrong analytical and problem-solving skills with the ability to troubleshoot complex data challenges.
โขAbility to work effectively with cross-functional and technical teams.
โขStrong communication skills with the ability to explain technical concepts clearly to business stakeholders.
โขExperience working in agile, fast-paced technology environments.
โขStrong ownership mindset with the ability to independently drive projects from requirements through implementation and production.
โขPassion for learning and experimenting with emerging data, cloud, analytics, and AI technologies .