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 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).
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing big data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable big data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• At least with 3+ years of experience in a Data Engineer or similar roles, who has attained a Bachelor’s degree in Bachelor’s degree in Engineering, Computer Science, Information Technology, related field or equivalent work experience.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including PostgreSQL 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.
• 3+ years of experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.