Senior Data Engineer

Job Profile- Sr Data Engineer

Exp- 10+ yrs

Location- Bangalore

Mode of work- Hybrid (2 Day WFO)

Responsibilities:

Develop, maintain, and optimize data pipelines and workflows and Feature Store to ensure seamless data ingestion and transformation as a scalable data solution.

• Design, develop, implement, and architect Data Engineering pipelines, considering performance & scalability including data storage and processing.
• Implement advanced data transformations and quality checks to ensure data accuracy, completeness, security and consistency of data.
• Seamlessly integrate data from diverse sources, for data ingestion, transformation and storage, leveraging AWS S3 Storage and possibly Snowflake as a SQL Data Warehouse.
• Create and implement advanced data models and schemas and ensure data governance and data management best practices.

Qualification and Desired Experiences:

• 7+ years of data analysis and engineering experience
• Bachelors degree in computer science, Statistics, Informatics, Information Systems or another quantitative field.
• Working knowledge of API or Stream-based data extraction processes like Salesforce API and Bulk API and have hands-on experience in web crawling.
• Advanced Web-crawling & scraping methods and tools
• Building end-end Data Engineering pipelines for Semi and unstructured data (Text, all kinds of simple/complex table structures, images, video and audio data)
• Python, Pyspark, SQL, RDBMS
• Data Transformation (ETL/ELT) activities
• SQL Data warehouse (e.g. Snowflake) working / preferably administration

Good to have skills-

• Databricks
• Familiarity with AWS services : S3, Glue, EMR, EC2, RDS, monitoring and IAM
• Kafka, Spark & Kafka Streaming
• Workflow automation (e.g. using Github actions)
• Performing RCA