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You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Write a query to randomly sample a row from a big table.

Random SQL Sample

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Anblicks Salaries by Position

4-6 years of experience:Experience in hadoop/big data technologies.experience in spark.experience in Snowflakeexperience working on Google or AWS cloud developing data solutions. Certifications preferred.Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required;Experience with containerization and related technologies (e.g. Docker, Kubernetes)Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)Comprehensive knowledge of the principles of software engineering and data analyticsAdvanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)Knowledge of agile (scrum) development methodology is a plusStrong development/automation skillsProficient in programming in Java or Python with prior Apache Beam/Spark experience a plus. System level understanding - Data structures, algorithms, distributed storage & computeCan-do attitude on solving complex business problems, good interpersonal and teamwork skills

<ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.</li><li>7+ years of experience in data engineering with a strong focus on the Azure cloud platform.</li><li>Proficiency in Databricks, SQL, Azure Data Factory, Power BI, and SSIS.</li><li>Solid understanding of data modeling, ETL processes, and data warehousing concepts.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration abilities.</li><li>Ability to manage multiple tasks and projects simultaneously.</li><li>Willingness to work in both support and development roles.</li></ul>

Experience: 6+ yearsPosition: Data Engineer - Snowflake Roles & Responsibilities: • Design, build, and maintain scalable data pipelines and architecture in Snowflake Data Warehousing environment.• Lead the design and implementation of data models and schemas to support business requirements.• Develop and optimize SQL queries and procedures for efficient data retrieval and processing.• Collaborate with cross-functional teams to understand data requirements and deliver data solutions.• Mentor and lead a team of data engineers, providing guidance on best practices and technical skills development.• Ensure data quality, integrity, and reliability throughout the data lifecycle.• Evaluate and implement cloud technologies and tools to enhance data processing and analytics capabilities.• Design and implement dimensional and relational data models to support analytics and reporting needs. Skills & Experience Required: • Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.• 4 years of experience as a Data Engineer or similar role.• Proven experience with Snowflake Data Warehousing platform.• Strong proficiency in SQL and database management systems.• Solid understanding of data modeling concepts and techniques.• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.• Proficiency in at least one programming language (e.g., Python,Scala, Java) for scripting and automation.• Excellent problem-solving and analytical skills.• Strong communication and leadership abilities.• Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities.

Key Responsibilities:• Design, develop and maintain innovative end-end data analytics business solutions & technology solutions• Work with data warehouses and data lakes, ensuring data is accurate, available, and easily accessible.• Implement ELT/ETL processes using industry-standard tools and best practices.• Collaborate with data scientists, analysts, and other stakeholders to ensure data needs are met.• Develop and maintain documentation for data processes, systems, and protocols.• Stay current with emerging technologies and industry trends, applying them to current and future projects. Required Skills and Experience:• Programming Languages: Strong knowledge of Python and SQL.• Data Warehousing: Clear understanding of data warehouse fundamentals, data modeling and ELT/ETL processes.• Snowflake: Experience working with or knowledge of Snowflake.• Big Data Technologies: Experience with Apache Spark, Azure Databricks, PySpark• Cloud Platforms: Hands-on experience with Azure, AWS or Databricks. • Analytics: Strong programming and analytics skills.• Communication: Excellent verbal and written communication skills.• Quick Learner: Ability to quickly learn and adapt to new technologies and methodologies. Preferred Skills:• Experience with AI/ML lifecycle and related technologies.• Familiarity with other cloud platforms and data engineering tools.

Job Title: Senior Data Engineer - New Product Development Location: Hyderabad Company: Anblicks Job Type: Full-time Job Description: We are seeking a skilled Data Engineer to join our New Product Development team. The ideal candidate will have a strong background in data engineering, with expertise in Snowflake, data modeling, PySpark, and Azure Cloud. You will play a crucial role in designing and implementing data solutions that support our innovative products. Key Responsibilities: <ul><li>Design, develop, and maintain data pipelines and ETL processes using PySpark and Snowflake.</li><li>Collaborate with product teams to understand data requirements and translate them into scalable data models.</li><li>Implement and optimize data storage solutions in Azure Cloud to ensure efficient data retrieval and analysis.</li><li>Monitor and troubleshoot data workflows to ensure data quality and integrity.</li><li>Work closely with data scientists and analysts to provide the necessary data infrastructure for analytics and reporting.</li><li>Document data architecture, processes, and workflows for future reference and compliance.</li></ul> Core Skills: <ul><li>Proficiency in Snowflake for data warehousing and analytics.</li><li>Strong experience in data modeling techniques and best practices.</li><li>Expertise in PySpark for data processing and manipulation.</li><li>Familiarity with Azure Cloud services and architecture.</li><li>Knowledge of SQL and database management systems.</li><li>Experience with data governance and data quality frameworks.</li></ul> Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in data engineering or related roles. Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. Preferred Qualifications: <ul><li>Experience with other data processing frameworks (e.g., Apache Kafka, Apache Airflow).</li><li>Knowledge of machine learning concepts and tools.</li></ul>

Job Title: Data AnalystLocation: Dallas, TX Job Overview:· We are looking for a capable Data Analyst to join our growing Data Platform team. The ideal candidate has experience in corporate analytics platforms focused on clickstream data from mobile applications as well as server to server data from various microservices. Who enjoys helping people find data driven solutions to their questions and can work closely with our software developers, data engineers, and business consumers by both giving and seeking necessary support. They must be self-directed and comfortable supporting the data needs of multiple client teams, systems and products. We strive for a high quality self-service platform for our partners and this role will be key in transitioning unique issues into automated or partner owned solutions. Is passionate about helping people understand data, access it, and working with engineers to create long term solutions. Responsibilities for Data Analyst:· Work with clients to aid them in learning to self-serve for basic data needs (visualization, report building, minor ad-hoc querying).· Support the internal team of Product Managers, Developers, and Data Engineers in tracking down issues, building use cases, and optimizing solutions.· Walk client teams through the exercise of building an Analytics Roadmap and working with them over the course of each quarter to make progress on these goals.· Work with our Data Scientists and other Data Analysts in designing, developing, implementing, and maintaining various production models (Propensity to Call, ML Content Personalization, Data Anomaly Detection, etc.)· Analyzing dimensions across various use cases for value add to incorporate with existing models or use cases.Must Have Experience and Skillset:· Must have an experience Snowflake, Python, Power BI(teableau).· Experience with Python, or R.· Experience with SQL.· Experience with JSON file formatting and querying.· Experience working with clickstream data and self-service digital platforms.Preferred Qualifications for Data Analyst:· Bachelor’s Degree in Mathematics, Computer Science, Statistics, or similar field.· 3+ years in a Data Analyst role· Ability to collaborate effectively to directly support stakeholders and coordinate across teams· Strong attention to detailNice to Have’s:· Experience with DataBricks or other notebook based platforms (Jupyter, etc.)· Understanding of mobile app data architectures (tagging sdks, microservices, etc.)

DATA ENGINEER<ul><li>Strong foundational skills (SQL, Data Modeling, Python, Spark, Cloud)</li><li>Experience building and orchestrating data pipelines for batch, event-driven and streaming workloads (auditing, reconciliations, error handling, embedded quality/observability etc.)</li><li>Solid understanding of optimization techniques for Performance and Cost</li><li>Expertise in leveraging DevOps/CICD pipelines to deploy the code to higher environments.</li><li>Industry exposure (Retail or Healthcare or Insurance or Banking) is preferred.</li><li>Good to have skills (Governance, Lineage, Metadata, Machine Learning, BI, Reverse ETL, Data Sharing etc.)</li><li>Platform specific skills (one of the below is required)</li><li>Snowflake (Snowpipe, Snowpipe Streaming, Snowpark, Dynamic Tables, Tasks, Streams etc.)</li><li>Databricks (Delta Lake, Spark Structured Streaming, Delta Live Tables, Auto Loader, Workflows, Unity Catalog etc.)</li></ul>

About The Role We are seeking a Data Engineer to join our team and leverage their expertise in Snowflake, dbt, and data transformation tools to build and maintain scalable data pipelines. You will be responsible for extracting, transforming, and loading (ETL) data from Microsoft SQL Server (MSSQL) into our Snowflake data warehouse, ensuring clean, reliable data for analysis and reporting. Responsibilities <ul><li>Design, develop, and maintain data pipelines using Snowflake, dbt, or Coalesce.</li><li>Write and optimize SQL queries within dbt for efficient data transformation in Snowflake.</li><li>Utilize Coalesce or similar data transformation tools to migrate data from MSSQL to Snowflake.</li><li>Cleanse, validate, and transform data to ensure accuracy and consistency.</li><li>Design and implement data models in dbt to transform raw data into analytical-ready datasets.</li><li>Automate data pipelines and ensure their reliability and scalability.</li><li>Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and translate them into technical solutions.</li><li>Develop and implement unit tests for data pipelines and data models.</li><li>Monitor and troubleshoot data pipelines for any issues.</li><li>Document data pipelines and models for future reference. </li></ul>Qualifications <ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, or a related field</li><li>Minimum 2+ years of experience as a Data Engineer or similar role.</li><li>Proven experience with Snowflake, including writing SQL queries and leveraging its functionalities.</li><li>Expertise in dbt, including model development, testing, and deployment.</li><li>Experience with data transformation tools like dbt, Coalesce, or Hevo Data.</li><li>Strong understanding of data warehousing concepts and best practices.</li><li>Experience with ETL/ELT processes.</li><li>Excellent SQL programming skills (T-SQL and Snowflake SQL).</li><li>Experience with version control systems (e.g., Git).</li><li>Familiarity with data quality concepts and techniques.</li><li>Excellent communication and collaboration skills. </li></ul>Bonus Points <ul><li>Experience with cloud platforms (e.g., AWS, Azure).</li><li>Experience with data orchestration tools (e.g., Airflow, Luigi).</li><li>Experience with data governance and security practices.</li></ul>

Role PurposeWe are seeking a Lead Data Engineer to join our team of data experts. The ideal candidate will have a passion for designing and implementing end-to-end data solutions, from data ingestion and processing to analytics and reporting. As a Lead Data Engineer, you will work closely with the Data Architect and other stakeholders to understand their data needs and provide solutions to meet those needs. You will also be responsible for leading a team of data engineers and ensuring that all data engineering projects are completed on time and within budget.Role Responsibilities<ul><li>Collaborate with the Data Architect and other stakeholders to understand their data needs and provide solutions to meet those needs</li><li>Design and implement end-to-end data solutions using technologies such as Snowflake, Databricks, Azure</li><li>Lead a team of data engineers and ensure that all data engineering projects are completed on time and within budget</li><li>Develop and maintain data governance policies and procedures</li><li>Build and maintain data pipelines and ETL processes using Python, Spark, and SQL</li><li>Ensure data quality and integrity by developing and implementing data validation and testing strategies</li><li>Design and implement data security measures to protect the confidentiality, integrity, and availability of our organization's data</li><li>Provide technical leadership to the data engineering team and help them implement best practices in data engineering and data architecture</li><li>Continuously monitor and evaluate the performance of data systems and make recommendations for improvements</li><li>Stay up-to-date with the latest data technologies and trends and provide recommendations for their adoption</li><li>Manage project timelines and deliverables</li></ul>Skills & Experience<ul><li>Bachelor's or Master's degree in Computer Science, Information Systems, or a related field</li><li>10+ years of experience in data engineering and data architecture</li><li>Strong knowledge of data technologies, such as Snowflake, Databricks, Apache Spark, Dbt, Fivetran, Azure Data Factory</li><li>Experience designing and developing end-to-end data solutions, data pipelines, and ETL processes</li><li>Strong understanding of data governance, data quality, and data security principles</li><li>Strong expertise in Python and SQL</li><li>Excellent problem-solving and analytical skills</li><li>Strong communication and leadership skills</li><li>Ability to work independently and as part of a team</li><li>Experience working in an Agile environment</li><li>Experience managing projects and teams</li><li>Experience in pre-sales activities, including scoping and estimation of projects, and presenting solutions to clients</li><li>Experience in complete project life cycle activities on development and maintenance projects.</li><li>Knowledge and experience in developing software using agile methodologies.</li><li>Experience working with a globally distributed team.</li><li>Proven track record of technical leadership roles delivering solutions within defined timeframes.</li><li>Skilled in building relationships with clients and in practice development activities.</li><li>Demonstrated success in performing work and managing complex and/or large consulting projects.</li><li>Excellent written and oral communication skills; Ability to communicate effectively with technical and non-technical staff.</li><li>Retail domain knowledge is preferred.</li></ul>

Anblicks Interview Questions

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Anblicks Interview Questions

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