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DataMetica Data Engineer Interview Questions, Process, and Tips
Top DataMetica Data Engineer Interview Questions and Answers
- Q1. How Bigquery architecture work
- Q2. What is Informatica tool
- Q3. What is Datastage tool
DataMetica Data Engineer Interview Experiences
6 interviews found
CSE_A_45_Nidhi Kamboj
(2 Questions)
- Q1. What is Informatica tool
- Ans.
Informatica is a data integration tool used for ETL (Extract, Transform, Load) processes in data engineering.
Informatica is used for extracting data from various sources like databases, flat files, etc.
It can transform the data according to business rules and load it into a target data warehouse or database.
Informatica provides a visual interface for designing ETL workflows and monitoring data integration processes.
It ...
- Q2. What is Datastage tool
- Ans.
Datastage is an ETL tool used for extracting, transforming, and loading data from various sources to a target destination.
Datastage is part of the IBM Information Server suite.
It provides a graphical interface to design and run data integration jobs.
Datastage supports parallel processing for high performance.
It can connect to a variety of data sources such as databases, flat files, and web services.
Datastage jobs can b...
Skills evaluated in this interview
Anonymous
I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.
(1 Question)
- Q1. Sql joins,dense rank and rank,window function
Interview Preparation Tips
Vinayak Alagwadi
(1 Question)
- Q1. Sql Questions, Pyspark..
Shubam Shivpuri
(1 Question)
- Q1. Experience, skills, current org and previous org
DataMetica interview questions for designations
Selected
I applied via Naukri.com and was interviewed before Nov 2023. There was 1 interview round.
(2 Questions)
- Q1. How Bigquery architecture work
- Ans.
Bigquery architecture is a distributed, serverless, highly scalable, and cost-effective data warehouse designed for large-scale data analytics.
Bigquery uses a distributed architecture to store and query data across multiple servers for high performance.
It is serverless, meaning users do not need to manage any infrastructure and can focus on analyzing data.
Bigquery is highly scalable, allowing users to easily scale up o...
- Q2. Explain Data ingestion
- Ans.
Data ingestion is the process of collecting, importing, and processing data from various sources into a storage system.
Data ingestion involves extracting data from different sources such as databases, APIs, files, and streaming platforms.
The extracted data is then transformed and loaded into a data warehouse, data lake, or other storage systems for analysis.
Common tools used for data ingestion include Apache Kafka, Apa...
Skills evaluated in this interview
Selected
I applied via Recruitment Consulltant and was interviewed before Nov 2023. There was 1 interview round.
(2 Questions)
- Q1. Basic que on sql join
- Q2. Python quetions
Data Engineer Jobs at DataMetica
Interview questions from similar companies
(4 Questions)
- Q1. Components of Databricks
- Q2. How to read a json file
- Q3. Second highest salary SQL
- Q4. How to configure the spark while creating the cluster
General Aptitude test
(2 Questions)
- Q1. On SQL functions
- Q2. Python coding questions
(2 Questions)
- Q1. Databricks compute and config
- Q2. Dremio optimization process and.migration
(1 Question)
- Q1. Data Engineering and Data modelling
(1 Question)
- Q1. People management and salary
Selected
I applied via Approached by Company and was interviewed before May 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Project history
- Q2. Tech stack used
- Ans.
Our tech stack includes Python, SQL, Apache Spark, Hadoop, AWS, and Docker.
Python is used for data processing and analysis
SQL is used for querying databases
Apache Spark is used for big data processing
Hadoop is used for distributed storage and processing
AWS is used for cloud infrastructure
Docker is used for containerization
(2 Questions)
- Q1. Handled team or not?
- Q2. Project experience
Interview Preparation Tips
- GCP
- Python
- SQL
- Data Warehousing
Skills evaluated in this interview
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DataMetica Data Engineer Interview Process
based on 6 interviews in last 1 year
1 Interview rounds
- Technical Round
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