Data Engineer.........Hanover, MD - CTH
Tech Rakers
Baltimore, MD, United States
1 day ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon S3
ARM Architecture
BigQuery
Cloud Computing
Information Engineering
Extract Transform Load (ETL)
Data Flow Control
Python (Programming Language)
Machine Learning
Performance Tuning
Power BI
+15 more
Cloudera
Azure Data Lake
SQL Databases
Google Cloud
Data Storage Technologies
Data Ingestion
Azure Data Factory
Snowflake
Pyspark
Information Technology
AWS Data Analytics
Amazon Simple Queue Service (SQS)
Azure Synapse Analytics
Data Pipelines
Databricks
Requirements
- Bachelor s degree in computer science, Engineering, or related field.
- 3-5 years of experience in Data Engineering developing production-grade data ingestion, transformation, and orchestration solutions.
- Strong proficiency in SQL and Python (PySpark proficiency will be an added advantage).
- Strong hands-on experience building data pipelines
- Experience working with different data sources (structured, semi-structured, and unstructured).
-
Strong hands-on capability in at least one of the following platform areas
- AWS Data Engineering (S3, Glue, Redshift, Lambda, Kinesis, SNS/SQS, EMR, Athena, Quicksight)
- Azure Data Engineering (ADLS Gen2, Fabric, Synapse, Databricks, Power BI)
- Google Cloud Platform Data Engineering (BigQuery, Data Storage, Dataproc, Pub/Sub, Dataflow, Datastream)
- Snowflake (Snowpipe, Streams and Tasks, COPY command, dynamic tables, timetravel, Snowpark, Cortex)
- Matillion (pipeline design, orchestration, parameterization, environment promotion, error handling, and operational monitoring)
- Databricks
- Informatica / IICS
Curious and growth mindset, meticulous, strong problem-solving, and excellent verbal and written communication skills
Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.
Preferred Qualifications:
-
Matillion data engineering certifications such as:
- Matillion ETL Foundations Certification
- Matillion Data Productivity Cloud Foundations Certification
Snowflake certifications such as:
- SnowPro Core Certification
- SnowPro Advanced: Data Engineer
Good Understanding of data modelling (Star/Snowflake) and performance tuning
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