Description

You will lead complex data engagements on cloud platforms, focusing on data lakes, engineering, migration, and business intelligence.

Responsibilities

• Lead the design and development of distributed, high-volume batch, real-time, and event-processing systems.
• Translate business requirements into functional and non-functional specifications, including availability, scalability, security, and resilience.
• Own the end-to-end delivery of projects, ensuring adherence to schedule, quality, and customer satisfaction.
• Implement data validation and monitoring processes to ensure production data accuracy and availability.
• Partner with pre-sales teams to develop technical solutions for RFPs and RFIs.
• Mentor junior talent and act as a technical advisor for complex cloud and data challenges.

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.
• Deep knowledge of distributed computing environments such as Hadoop and cloud-native services.
• Proficiency with ETL and data integration technologies including Spark, PySpark, Scala, Dataflow, Dataproc, and EMR.
• Experience with traditional ETL tools such as Informatica, DataStage, OWB, or Talend.
• Hands-on experience with cloud and on-premise databases including Cloud SQL, Spanner, BigTable, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, or SQL Server.
• Experience with NoSQL databases like MongoDB, CouchDB, Cassandra, or Graph DB.
• Practical knowledge of data storage and pipeline tools such as S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Airflow, or Composer.
• Strong understanding of IaaS, PaaS, SaaS, containers, and microservices architecture.
• Ability to design scalable cloud data warehouse solutions on BigQuery or Redshift.

Preferred Skills

• Experience with Machine Learning frameworks such as TensorFlow or PyTorch.
• Familiarity with BI reporting and dashboarding tools like Looker, Tableau, Power BI, or Superset.

Key Skills

Education

Any Graduate