We are looking for a skilled Data Engineer with 5–7 years of experience to join our team. The ideal candidate will have hands-on expertise in ETL pipelines, data transformations, and performance optimization, with strong problem-solving skills and the ability to communicate effectively across technical and non-technical teams.

· Design, build, and maintain scalable ETL pipelines for large-scale data processing.

· Work extensively with PySpark (intermediate to advanced) and Databricks to implement transformations and data workflows.

· Optimize data pipelines for performance, scalability, and cost-efficiency.

· Collaborate with cross-functional teams to understand requirements and deliver high-quality data solutions.

· Troubleshoot, debug, and resolve data processing and pipeline issues.

· Implement best practices for data quality, governance, and performance tuning.

· 5–7 years of experience in data engineering.

· Strong proficiency in PySpark (intermediate to advanced).

· Hands-on experience with Databricks.

· Strong understanding of ETL processes and data transformations.

· Experience with performance optimization in data pipelines.

· Excellent communication and problem-solving skills

Must-Have Skills

· 5–7 years of experience in data engineering.

· Strong proficiency in PySpark (intermediate to advanced).

· Hands-on experience with Databricks.

· Strong understanding of ETL processes and data transformations.

· Experience with performance optimization in data pipelines.

· Excellent communication and problem-solving skills.

Good-to-Have Skills

· Experience with cloud platforms (GCP, AWS).

· Knowledge of modern data architectures, data lakes, and warehousing solutions.

· Exposure to CI/CD for data engineering projects.

What We Offer

· Opportunity to work with large-scale data and cutting-edge cloud technologies.

· Collaborative and innovative work environment.

· Professional growth and upskilling opportunities.

• Annual Leave in number of 15 allotted to all employees beginning of every calendar year.
• Sick Leave in number of 12 is allotted effective DOJ and beginning of ever calendar year.
• Other Leaves-Maternity Leave & Paternity Leaves, Birthday Leave Entitlement
• Dedicated L&D Budget for all Teams to upskill & get certified
• All employees are entitled for Group Personal Accident Cover & Life Cover Insurance.
• Insurance coverage for the entire family (Employee + up to 7 dependents - Self, Spouse, up to 4 children, and Parents)
• Monthly Cross Team Lunch
• Rewards and Recognition program-Employee of the month, Star Performer, Tenure Celebration & many more

We are an advocate for equal opportunity in the workplace. We are committed to ensuring equal opportunities regardless of race, colour, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.