Staff Data Engineer
4 weeks ago
Responsibilities :
- You will be responsible for product features related to data transformations, enrichment, and analytics.
- You will discuss with product managers, UX designers, and other backend teams to understand requirements and translate the same into functional specifications.
- Lead and provide technical direction and mentorship to junior engineers and bring out the best in them.
- Design, develop, and maintain scalable and efficient data pipelines, data warehouses, and data integration processes.
- Implement and optimize ETL (Extract, Transform, Load) processes to efficiently ingest, process, and store large volumes of structured and unstructured data.
- Ensure data quality and integrity by implementing data validation and cleansing techniques, and define and enforce data governance, security, and compliance policies.
- Build and maintain data models, schemas, and database systems to support data analytics and reporting needs.
- Identify and resolve performance bottlenecks and optimize query performance for large-scale data processing.
- Education : BS in Computer Science or Equivalent.
- Minimum 8+ years of software development experience.
- Experience using batch and stream processing frameworks like Spark/Kafka Streaming, Spring batch, or equivalent.
- Proficiency in programming languages such as Python, Java, or Scala for data processing and scripting.
- Design Data warehouses/databases (e. g. Redshift, etc. ).
- Good experience with SQL and writing complex queries/data structures.
- Experience developing microservices and APIs.
- Proficiency with AWS setup and configuration.
- Experience creating ETL pipelines from sources like Google Analytics, MixPanel, AWS Aurora, etc., using Glue or equivalent technologies
- In-depth knowledge of relational databases (e. g., MySQL, PostgreSQL) and experience with database design and optimization.
- Hands-on experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
- Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders.
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