Pre-Interview Checklist for Big Data Engineer Roles.

➤ SQL Essentials:
- SELECT statements including WHERE, ORDER BY, GROUP BY, HAVING
- Basic JOINS: INNER, LEFT, RIGHT, FULL
- Aggregate functions: COUNT, SUM, AVG, MAX, MIN
- Subqueries, Common Table Expressions (WITH clause)
- CASE statements, advanced JOIN techniques, and Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK)

➤ Python Programming:
- Basic syntax, control structures, data structures (lists, dictionaries)
- Pandas & NumPy for data manipulation: DataFrames, Series, groupby

➤ Hadoop Ecosystem Proficiency:
- Understanding HDFS architecture, replication, and block management.
- Mastery of MapReduce for distributed data processing.
- Familiarity with YARN for resource management and job scheduling.

➤ Hive Skills:
- Writing efficient HiveQL queries for data retrieval and manipulation.
- Optimizing table performance with partitioning and bucketing.
- Working with ORC, Parquet, and Avro file formats.

➤ Apache Spark:
- Spark architecture
- RDD, Dataframe, Datasets, Spark SQL
- Spark optimization techniques
- Spark Streaming

➤ Apache HBase:
- Designing effective row keys and understanding HBase’s data model.
- Performing CRUD operations and integrating HBase with other big data tools.

➤ Apache Kafka:
- Deep understanding of Kafka architecture, including producers, consumers, and brokers.
- Implementing reliable message queuing systems and managing data streams.
- Integrating Kafka with ETL pipelines.

➤ Apache Airflow:
- Designing and managing DAGs for workflow scheduling.
- Handling task dependencies and monitoring workflow execution.

➤ Data Warehousing and Data Modeling:
- Concepts of OLAP vs. OLTP
- Star and Snowflake schema designs
- ETL processes: Extract, Transform, Load
- Data lake vs. data warehouse
- Balancing normalization and denormalization in data models.

➤ Cloud Computing for Data Engineering:
- Benefits of cloud services (AWS, Azure, Google Cloud)
- Data storage solutions: S3, Azure Blob Storage, Google Cloud Storage
- Cloud-based data analytics tools: BigQuery, Redshift, Snowflake
- Cost management and optimization strategies

Here, you can find Data Engineering Resources 👇
https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C

All the best 👍👍