Job duties and Responsibilities:

• Define the end to end solution architecture for large scale technology projects and deep technical expertise in distributed processing, real-time and scalable systems.
• Architect, Design and Develop Big Data streaming applications to use high performance and highly available NoSQL Key Value store Redis for check pointing.
• Design and Develop Spark applications in Scala that use DOM/SAX parsers for parsing incoming raw string/XML data.
• Design and develop AWS Cloud deployment scripts using AWS Cloud Formation Templates, Terraform and Ansible.
• Design, develop and troubleshoot Hive, Pig, Flume, Mango DB, Sqoop, Zookeeper, Spark, MapReduce2, YARN, HBase, Kafka and Strom.
• Fine tune applications and systems for high performance and higher volume throughput and Pre-Process using Hive and Pig.
• Translate load and exhibit unrelated data sets in various formats and sources like JSON, text files, Kafka queues and log data.
• Install and configure Docker images for Telegraf, InfluxDB, Grafana, Kapacitor on AWS cloud monitoring EC2.
• Design and Develop Kapcitor scripts for alerting as push notifications, SMS, Email and Slack alerts.
• Define Technology/Big Data strategy and roadmap for client accounts, and guides implementation of that strategy within projects.
• Drive excellent management skills are required to deliver complex projects, including effort/time estimation, building detailed work breakdown structure (WBS), managing critical path, and using PM tools and platforms.
• Build scalable client engagement level processes for faster turnaround & higher accuracy.
• Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholder.
• Manage the team-members, to ensure that the project plan is being adhered to over the course of the project.
• Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.

Skills / Knowledge required

• Knowledge of variety and advanced architecture, tools and concepts across all layers of the modern distributed technology stack (Hadoop, Spark, Kafka, Cassandra, MongoDB and similar).
• Knowledge and experience in cloud architectures and cloud tools (Azure/GCP/AWS).
• Knowledge and experience of deploying and maintaining large scale advanced systems in production environments.
• Ability to independently manage client engagements from start to finish, delivering actionable insight within established timelines and budget.
• Demonstrate ability in driving business impact through the application of technology and data science. Understanding and leveraging the connection between data structures, analytical methods, and business applications.
• Experience working in a consultative capacity (internal or external) and across the sales-to-project closure process.
• Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required.
• Strong organizational awareness and the ability to work effectively at multiple levels within an organization. Equally comfortable in discussing technical/analytical details with technical thought leaders as explaining technical subject matter with a non-technical audience, in particular, high-level executives.
• Outstanding verbal and written communication skills & must have excellent project management skills and have experience managing multiple work streams and projects at one time.
• Building - and, when necessary, rebuilding -- and leading high performance teams.
• Proven track record of identifying and developing technology talent and leading a team of high-performance personnel.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• 4+ years of experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.