What were looking for We re seeking a skilled and experienced Data Engineer to lead the development and implementation of our Data Warehouse/Lakehouse solutions , ensuring it serves as the foundation for scalable, high-performance analytics. This role calls for deep expertise in data architecture, cloud-based solutions, and modern analytics platforms. You ll play a pivotal role in defining and executing our data infrastructure strategy, ensuring it drives innovation and business impact.
If this excites you, we d love to connect.
What you ll be doing
- Lead the end-to-end development and deployment of a scalable and secure Lakehouse architecture.
- Define best practices for data ingestion, storage, transformation, and processing using modern cloud technologies.
- Architect data pipelines using ETL/ELT frameworks to support structured, semi structured, and unstructured data.
- Optimize data modelling strategies to meet the analytical and performance needs of stakeholders.
- Evaluate and select appropriate cloud technologies, frameworks, and architectures.
- Develop and maintain efficient, automated data pipelines that integrate data from multiple sources (Oracle, Big Query, MongoDB, Google Analytics, etc.).
- Implement distributed data processing frameworks using tools like Apache Spark and Dataflow.
- Ensure optimal query performance tuning and cost-effective cloud resource utilization.
- Establish and enforce data governance policies, ensuring adherence to compliance regulations such as GDPR and CCPA.
- Implement robust data access control and security measures across multi-tenant environments.
- Define data lineage, cataloging, and metadata management to enable data democratization.
- Stay abreast of developments in cloud data platforms, AI integrations, and analytics technologies to drive innovation.
- Evaluate and recommend emerging data technologies to enhance efficiency and scalability.
- Lead Proof of Concepts (POCs) to validate new approaches and technologies.
To be successful in this role, you should have:
- Qualification: Bachelor s degree in Computer Science, Data Engineering, Information Systems, or a closely related field from a top-tier institution in India
- Experience: 2-5 years of experience in data engineering, with a proven track record of implementing large-scale data solutions.
Skills
- Extensive experience with cloud platforms (AWS, GCP, or Azure), specifically in data warehouse/lakehouse implementations.
- Expertise in modern data architectures with tools like Databricks, Snowflake, or Big Query.
- Strong background in SQL, Python, and distributed computing frameworks (Spark, Dataflow, etc.).
- Experience building high-volume, reliable data pipelines for real-time and batch processing.
- In-depth knowledge of data modelling principles (e.g., Star Schema, Snowflake Schema).
- Experience in enabling AI tools to consume data from the Lakehouse, including implementing semantic layers.
- Strong understanding of data governance, security, and compliance frameworks.
Must-Have Skills
- Kafka, Databricks, Python, NoSQL, Medallion Architecture
Good to Have
Soft Skills:
- Excellent problem-solving and strategic thinking
- Strong leadership and collaboration skills
- Clear communication of technical concepts to non-technical stakeholders
- Ability to manage multiple priorities independently in a fast-paced environment
What you ll find here
- A culture of innovation: We only take up projects that challenge us to innovate. Our customers come to us for our technology expertise.
- Endless learning opportunities: Continuous learning is baked into our DNA. You ll always have the chance to learn new things and stay on top of the latest trends.
- Talented peers: Work alongside engineers from IITs, NITs, BITS, and other premier institutions.
- Work-life balance: We value work-life balance and offer flexible schedules, including remote work options, so you can thrive both professionally and personally.
- A great culture: Our employees love working here! 82% recommend Talentica to their friends, according to . Join us, and you ll see why!
- Recognition rewards: We don t just work hard, we celebrate success. Your contributions won t go unnoticed. We ll make sure youre recognized for the amazing work you do.
