Principal Software Engineer - Big Data

What youll do : We seek Software Engineers with experience building and scaling services in on-premises and cloud environments. As a Principal Software Engineer in the Epsilon Attribution/Forecasting Product Development team, you will design, implement, and optimize data processing solutions using Scala, Spark, and Hadoop. Collaborate with cross-functional teams to deploy big data solutions on our on-premises and cloud infrastructure along with building, scheduling and maintaining workflows. Perform data integration and transformation, troubleshoot issues, Document processes, communicate technical concepts clearly, and continuously enhance our attribution engine/forecasting engine. Strong written and verbal communication skills (in English) are required to facilitate work across multiple countries and time zones. Good understanding of Agile Methodologies SCRUM. Qualifications : What youll need : - Strong experience (12 years) in Scala programming language and extensive experience with Apache Spark for Big Data processing for design, developing and maintaining scalable on-prem and cloud environments, especially on AWS and as needed with GCP cloud. - Proficiency in performance tuning of Spark jobs, optimizing resource usage, shuffling, partitioning, and caching for maximum efficiency in Big Data environments. - In-depth understanding of the Hadoop ecosystem, including HDFS, YARN, and MapReduce. - Expertise in designing and implementing scalable, fault-tolerant data pipelines with end-to-end monitoring and alerting. - Using Python to develop infrastructure modules. Hence, hands-on experience with Python. - Solid grasp of database systems and SQLs for writing efficient SQLs (RDBMS/Warehouse) to handle TBS of data. - Familiarity with design patterns and best practices for efficient data modelling, partitioning strategies, and sharding for distributed systems and experience in building, scheduling and maintaining DAG workflows. - End-to-end ownership with definition, development, and documentation of softwares objectives, business requirements, deliverables, and specifications in collaboration with stakeholders. - Experience in working on GIT (or equivalent source control) and solid understanding of Unit and integration test frameworks. - Must have the ability to collaborate with stakeholders/teams to understand requirements and develop a working solution and the ability to work within tight deadlines and effectively prioritize and execute tasks in a high-pressure environment. - Must be able to mentor junior staff. Advantageous to have experience on below : - Hands-on with Databricks for unified data analytics, including Databricks Notebooks, Delta Lake, and Catalogues. - Proficiency in using the ELK (Elasticsearch, Logstash, Kibana) stack for real-time search, log analysis, and visualization. - Strong background in analytics, including the ability to derive actionable insights from large datasets and support data-driven decision-making. - Experience with data visualization tools like Tableau, Power BI, or Grafana. - Familiarity with Docker for containerization and Kubernetes for Skills : - Kubernetes, analytics, SCRUM, written and verbal communication, Hadoop, Agile, HDFS YARN, SQLs, Docker, Grafana, data visualization, Scala programming language, SQL - RDBMS Warehouse, containerization, Catalogues, Scala Spark, AWS, data driven, Python, Elasticsearch Logstash Kibana, Tableau Power BI, data, Big Data, Apache Spark, GCP cloud, orchestration, MapReduce, visualization, real. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/23/2024