Data Engineer

You will be responsible for designing, building, and optimizing scalable data pipelines and modern data platforms. Your main responsibilities will include: - Designing and implementing scalable, production-grade data pipelines - Building and managing data lake / data warehouse architectures - Optimizing Spark/Databricks workloads for performance and cost - Implementing advanced data modeling (SCD Type 2/4, dimensional models) - Driving cloud migration and modernization initiatives - Ensuring data quality, monitoring, and observability - Mentoring junior engineers and reviewing code To excel in this role, you should have strong expertise in Python, SQL, Spark, Databricks, experience with DBT / modern data stack, hands-on experience with AWS/Azure cloud services, a strong understanding of data warehousing & modeling, experience with Airflow / orchestration tools, and familiarity with CI/CD and DevOps practices. --- If you are passionate about building scalable data systems, working with modern cloud and big data technologies like Databricks and Spark, and want to be part of a high-impact, fast-paced environmentthis is an excellent opportunity to grow your career. We are prioritizing candidates who can join immediately or within short notice, and who are excited to work on large-scale, data-driven platforms with real-world business impact. Interested candidates can share their updated resumes along with the following details: Current CTC, Expected CTC, Notice Period / Earliest Joining Availability, Current Location. You will be responsible for designing, building, and optimizing scalable data pipelines and modern data platforms. Your main responsibilities will include: - Designing and implementing scalable, production-grade data pipelines - Building and managing data lake / data warehouse architectures - Optimizing Spark/Databricks workloads for performance and cost - Implementing advanced data modeling (SCD Type 2/4, dimensional models) - Driving cloud migration and modernization initiatives - Ensuring data quality, monitoring, and observability - Mentoring junior engineers and reviewing code To excel in this role, you should have strong expertise in Python, SQL, Spark, Databricks, experience with DBT / modern data stack, hands-on experience with AWS/Azure cloud services, a strong understanding of data warehousing & modeling, experience with Airflow / orchestration tools, and familiarity with CI/CD and DevOps practices. --- If you are passionate about building scalable data systems, working with modern cloud and big data technologies like Databricks and Spark, and want to be part of a high-impact, fast-paced environmentthis is an excellent opportunity to grow your career. We are prioritizing candidates who can join immediately or within short notice, and who are excited to work on large-scale, data-driven platforms with real-world business impact. Interested candidates can share their updated resumes along with the following details: Current CTC, Expected CTC, Notice Period / Earliest Joining Availability, Current Location.