Lead/Principal Software Engineer - Scala Programming (8-15 yrs)

Location : Bangalore(Hybrid Mode)

What you'll do :

We seek Software Engineers with experience building and scaling services in on-premises and cloud environments.

As a Lead/Principal Software Engineer 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 :

- Strong experience (9 -15 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 SQL's (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 software's 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 orchestration