Description

Lead end-to-end data programs, acting as an individual contributor or managing junior team members. Drive presales, consulting, and RFP processes for Big Data, Analytics, and AI projects. Design technical architectures and select appropriate Big Data tools and frameworks for customer requirements. Implement ETL processes and suggest cloud platforms for migrations and implementations. Define data retention policies, data governance, and analytics strategies. Conduct Proof of Concepts (POCs) and monitor system performance to advise on infrastructure changes.

Responsibilities

• Drive presales, consulting, and RFP processes for Big Data, Analytics, and AI projects.
• Design technical architectures and select appropriate Big Data tools and frameworks for customer requirements.
• Implement ETL processes and suggest cloud platforms for migrations and implementations.
• Define data retention policies, data governance, and analytics strategies.
• Conduct Proof of Concepts (POCs) and monitor system performance to advise on infrastructure changes.

Required Skills

• 10+ years of experience in data analytics and program management.
• Proficiency in distributed computing principles and Hadoop cluster management.
• Hands-on experience with Snowflake and cloud platforms including Azure, AWS, or GCP.
• Experience building stream-processing systems using Storm or Spark-Streaming.
• Knowledge of Big Data querying tools such as Pig, Hive, and Impala.
• Experience with messaging systems like Kafka or RabbitMQ.
• Familiarity with Big Data ML toolkits such as Mahout, SparkML, or H2O.
• Understanding of Lambda Architecture and its implementation.
• Experience with Cloudera, MapR, or Hortonworks.

Preferred Skills

• Knowledge of data science concepts.
• Experience with ETL frameworks such as Flume.

Key Skills

Education

Any Graduate