Synechron Senior Data Engineer Interview Questions and Answers

Enhanced optimization in AWS Glue improves job performance by automatically adjusting resources based on workload

• Enhanced optimization in AWS Glue automatically adjusts resources like DPUs based on workload

• It helps improve job performance by optimizing resource allocation

• Users can enable enhanced optimization in AWS Glue job settings

Optimizing querying in Amazon Redshift involves proper table design, distribution keys, sort keys, and query optimization techniques.

• Use appropriate distribution keys to evenly distribute data across nodes for parallel processing.

• Utilize sort keys to physically order data on disk, reducing the need for sorting during queries.

• Avoid using SELECT * and instead specify only the columns needed to reduce data transfer.

• Use AN...read more

Sample data and its transformations

• Sample data can be in the form of CSV, JSON, or database tables

• Transformations include cleaning, filtering, aggregating, and joining data

• Examples: converting date formats, removing duplicates, calculating averages

Seeking new challenges and opportunities for growth in a more dynamic environment.

• Looking for new challenges and opportunities for growth

• Seeking a more dynamic work environment

• Interested in expanding skill set and knowledge

• Want to work on more innovative projects

SCD type 2 is a method used in data warehousing to track historical changes by creating a new record for each change.

• SCD type 2 stands for Slowly Changing Dimension type 2

• It involves creating a new record in the dimension table whenever there is a change in the data

• The old record is marked as inactive and the new record is marked as current

• It allows for historical tracking of changes in data over time

• Example: If a cust...read more

I am a Senior Data Engineer with 5+ years of experience in designing and implementing data pipelines for large-scale projects.

• Experienced in ETL processes and data warehousing

• Proficient in programming languages like Python, SQL, and Java

• Skilled in working with big data technologies such as Hadoop, Spark, and Kafka

• Strong understanding of data modeling and database management

• Excellent problem-solving and communication sk

Developing a real-time data processing system for analyzing customer behavior on e-commerce platform.

• Utilizing Apache Kafka for real-time data streaming

• Implementing Spark for data processing and analysis

• Creating machine learning models for customer segmentation

• Integrating with Elasticsearch for data indexing and search functionality