Databricks Lead Engineer

9+ years of overall experience with considerable experience in data engineering

Mandatory Skills: 
1. Very strong in SQL, PySpark.2. Good in Databricks, DLT, Medallion Architecture, Unity Catalog, Governance.3. Good knowledge and experience in Azure Data Services (like Azure Data Factory, Azure Blob, Azure Data Lake, Key Vault, etc.).4. Excellent written & spoken communication skills, ability to interact with customer & relevant stakeholders.5. Ability to understand the provided requirements, ability to assist in architecting solutions and ability to translate it into the implementation, following best practices.6. Proactive, Self-driven, motivated, result oriented, ability to take ownership and excellent learning attitude.7. Knowledge / experience in Snowflake Datawarehouse.8. Good understanding of ETL & Data warehousing concepts.9. Integration experience with data sources like REST webservices, Confluent Kafka, Oracle, SAP HANA, Salesforce, etc.10. Excellent in communication, presentation, stakeholder management, tracking, delivery.11. Ability to lead the delivery and produce results - requirement gathering, work with cross functional teams, with offshore/onshore, delivery planning.12. Experience in working with complex client ecosystem on large projects.

Good to have:
1. Experience & conceptual knowledge of Bigdata technologies - Hadoop, HDFS, Hive, Spark.2. Experience on ETL tools (like Matillion, DataStage, DBT, Qlik, Airflow, Control M, etc.).3. Experience in GCP data services.

Roles & Responsibilities

9+ years of overall experience with considerable experience in data engineering

Mandatory Skills: 
1. Very strong in SQL, PySpark.2. Good in Databricks, DLT, Medallion Architecture, Unity Catalog, Governance.3. Good knowledge and experience in Azure Data Services (like Azure Data Factory, Azure Blob, Azure Data Lake, Key Vault, etc.).4. Excellent written & spoken communication skills, ability to interact with customer & relevant stakeholders.5. Ability to understand the provided requirements, ability to assist in architecting solutions and ability to translate it into the implementation, following best practices.6. Proactive, Self-driven, motivated, result oriented, ability to take ownership and excellent learning attitude.7. Knowledge / experience in Snowflake Datawarehouse.8. Good understanding of ETL & Data warehousing concepts.9. Integration experience with data sources like REST webservices, Confluent Kafka, Oracle, SAP HANA, Salesforce, etc.10. Excellent in communication, presentation, stakeholder management, tracking, delivery.11. Ability to lead the delivery and produce results - requirement gathering, work with cross functional teams, with offshore/onshore, delivery planning.12. Experience in working with complex client ecosystem on large projects.

Good to have:
1. Experience & conceptual knowledge of Bigdata technologies - Hadoop, HDFS, Hive, Spark.2. Experience on ETL tools (like Matillion, DataStage, DBT, Qlik, Airflow, Control M, etc.).3. Experience in GCP data services.