Description

You will lead complex cloud and data engagements, serving as a technical advisor and thought leader for large-scale data analytics solutions.

Responsibilities

• Lead multiple data engagements on GCP focusing on data lakes, engineering, migration, warehousing, and business intelligence.
• Design and develop distributed, high-volume multi-thread batch, real-time, and event processing systems.
• Translate business requirements into functional and non-functional technical designs covering availability, scalability, performance, security, and resilience.
• Partner with pre-sales teams to support RFPs and RFIs by creating technical solutions and statements of work.
• Implement processes to validate data and monitor quality to ensure production data accuracy and availability.
• Mentor junior talent and lead discovery workshops with global customers.

Required Skills

• 15+ years of experience in technical, solutioning, and analytical roles.
• 5+ years of experience building and managing Data Lakes, Data Warehouses, and Data Integration solutions on GCP, AWS, or Azure.
• Expertise in architecting end-to-end data pipelines for structured and unstructured data sources.
• Proficiency with distributed computing environments such as Hadoop and cloud-native services.
• Hands-on experience with ETL and data integration tools including Spark, PySpark, Scala, Dataflow, Dataproc, and EMR.
• Deep knowledge of databases including Cloud SQL, Cloud Spanner, BigTable, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, and SQL Server.
• Experience with NoSQL databases such as MongoDB, CouchDB, Cassandra, or Graph DB.
• Ability to architect scalable warehouse solutions using BigQuery or Redshift.
• Experience with storage and orchestration tools like S3, Cloud Storage, Athena, Glue, Sqoop, Hive, Kafka, Pub-Sub, Kinesis, Airflow, or Composer.
• Understanding of IaaS, PaaS, SaaS, Containers, and Microservices architecture.
• Knowledge of BI reporting tools such as Looker, Tableau, Power BI, or Superset.
• Familiarity with cloud security features and policies across GCP, AWS, or Azure.

Preferred Skills

• Experience with Machine Learning frameworks such as TensorFlow or PyTorch.

Key Skills

Education

Any Graduate