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Must have : Skillset: Java, Scala, S3, Glue, aws , Redshift.
6-8 years of IT experience focusing on enterprise data architecture and management.
Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling
Experience with Databricks & on Prem, Structured Streaming, Delta Lake concepts, and Delta Live Tables required
Experience with Spark Scala and Java programming
Data Lake concepts such as time travel and schema evolution and optimization
Structured Streaming and Delta Live Tables with Databricks as a bonus
Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data
mart build, and data lakes implementation/support
Advanced level understanding of streaming data pipelines and how they differ from batch systems
Formalize concepts of how to handle late data, defining windows, and data freshness
Advanced understanding of ETL and ELT and ETL/ELT tools such as Data Migration Service etc
Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermarks, etc.
Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus
Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness
Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design performance optimization)
Indexing and partitioning strategy experience
Debug, troubleshoot, design, and implement solutions to complex technical issues
Experience with large-scale, high-performance enterprise big data application deployment and solution
Architecture experience in AWS environment a bonus
Familiarity working with Lambda specifically with how to push and pull data, how to use AWS tools to view data for processing massive data at scale a bonus
Experience with Gitlabs and CloudWatch and ability to write and maintain Gitlabs for supporting CI/CD pipelines
Experience working with AWS Lambdas for configuration and optimization and experience with S3
Familiarity with Schema Registry, and message formats such as Avro, ORC, etc.
Ability to thrive in a team-based environment
Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior-level of management
Full Time
$101k-130k (estimate)
05/11/2024
05/17/2024
The job skills required for Senior data engineer include Initiative, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior data engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior data engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior data engineer positions, which can be used as a reference in future career path planning. As a Senior data engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior data engineer. You can explore the career advancement for a Senior data engineer below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
03/09/2022: Billings, MT
The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
01/05/2022: Melbourne, FL
Create architecture for real-time, big data applications with minimal maintenance effort.
03/23/2022: Benton Harbor, MI
Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
01/22/2022: Greenville, MS
Provides successful deployment and provisioning of data solutions to production or other required environments.
01/12/2022: Dothan, AL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
02/06/2022: Providence, RI
Earn a bachelor’s degree related to data engineering and begin working on projects.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
01/02/2022: New York, NY
Step 3: View the best colleges and universities for Senior Data Engineer.