Job Title : Databricks Tech Lead (Contract)Contract Duration : 4 Months (Extendable based on Performance)Job Location : RemoteJob Timings : India Evening Shift (till 11 : 30 PM IST)Experience Required : 7+ YearsJob Description : We are looking for an experienced Databricks Tech Lead to join our team on a 4-month extendable contract. The ideal candidate will bring deep expertise in data engineering, big data platforms, and cloud-based data warehouse solutions, with the ability to work in a fast-paced remote environment.Key Responsibilities : - Lead the design, optimization, and management of large-scale data pipelines using Databricks, Spark (PySpark), and AWS data services.
- Productionize and deploy Big Data platforms and applications across multi-cloud environments (AWS, Azure, GCP).
- Build and manage data warehouse solutions, schema evolution, and data versioning.
- Implement and manage workflow orchestration using Airflow or similar tools.
- Work with complex business use cases and transform them into scalable data models and architectures.
- Collaborate with cross-functional teams to deliver high-quality data engineering and analytics solutions.
- Mentor team members and provide technical leadership on Databricks and modern data technologies.Required Skills & Experience : - 7+ years of experience in Data Warehouse, ETL, Data Modeling & Reporting.
- 5+ years of experience in productionizing & deploying Big Data platforms.
- 3+ years of hands-on Databricks experience.
- Strong expertise with :
a. SQL, Python, Spark, Airflow
b. AWS S3, Redshift, Hive Data Catalog, Delta Lake, Parquet, Avro
- Streaming platforms (Spark Streaming, Kafka, Hive)
- Proven experience in building Enterprise Data Warehouses and implementing frameworks such as Databricks, Apache Spark, Delta Lake, Tableau, Hive Metastore, Kafka, Kubernetes, Docker, and CI/CD pipelines.
- Hands-on experience with Machine Learning frameworks (TensorFlow, Keras, PyTorch) and MLOps practices.
- Strong leadership, problem-solving, and communication skills.

Keyskills: Azure Databricks Apache Airflow Data Engineering Schema Big Data Spark Data Warehousing ETL AWS SQL Python