Description:
Title: Sr Data Engineer Analytics & Insights
Location: Bangalore (Hybrid)
Responsibilities:
- Deploy and configure Apache Spark clusters on AWS (particularly EKS) optimizing for performance resource allocation and scalability.
- Develop automate and support robust and reliable Spark data pipelines focusing on high performance and low latency.
- Design and implement highly optimized queries to improve data processing efficiency streamline analysis minimize latency and enhance overall system performance.
- Collaborate to make the Data Platform an effective scalable and resilient system.
- Gather requirements from stakeholders prioritize work and document technical solutions clearly and effectively.
- Engage with data engineers data scientists product managers and internal stakeholders to align project goals and implementations.
- Contribute to a team culture that values quality robustness and scalability while fostering initiatives and innovation
Minimum Qualifications:
- 5 years of data processing experience in large cloudbased infrastructure (AWS is must)
- Handson software development experience in Python with strong proficiency in Py Spark for data engineering tasks and data pipeline development
- Expert understanding of SQL dimensional modeling and analytical data warehouses such as Snowflake
- Understanding of Data Engineering best practices for medium to large scale production workloads
- Expertise with data pipeline orchestration tools such as Airflow
- Familiar with processing semistructured file formats such as json or parquet
- Team player with good communication skills
- Problem solver with excellent written and interpersonal skills
- Strong problemsolving skills
- Ability to learn new technical skills
- Bachelors degree in Computer Science Data Science or related fields
Preferred Qualifications:
- Experience with Jinja Shell scripting DBT
- Developing in Cloud platform using serverless technologies such as glue lambda EMR is a plus.
- Experience with remote development using AWS SDK is a plus
- Experience with ELT pipelines DBT
- REST API design and implementation
- Familiarity with containers and infrastructureascode principles
- Experience with automation frameworks Git Jenkins and Terraform