Data Engineer - Open Application
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Before you apply
LocationLatAm
Work moderemote · United States
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentPipeline
Company size501–1,000 people
PostedJan 15, 2025 · 1y ago
Verified live21h ago
Evergreen / pipeline role
This company keeps this posting open to collect applicants. It may not correspond to a specific current opening.
At a glanceSummarised by Seekless from the posting.
5+ years working on the role professionally
Coding Python and use in data processing solutions and related data technologies like Pandas, and PySpark
Consume data from different sources like REST APIs
Work with relational non-relational data stores (like HBASE, Cassandra or MongoDB; S3, blobs)
Data Streams (Kafka, Kinesis, Flume,) and message queuing (SQS, SNS, RabbitMQ, etc)
Ensure that the data model scales and enables high performance
Distributed data stores
Data/Stream processing (Spark, Flink, Hadoop)
Data pipelines, data ingestion pipelines, scalable streaming data pipelines processing
ETL using solutions: Talend; Informatica; SQL Server Integration Services (SSIS)
Data warehouse (Snowflake, Redshift, Hive)
Implementation of data warehouse solutions, providing near real-time data to a variety of client systems
Using SQL databases to construct data storage
Experience designing and implementing data applications and services on the public cloud, AWS, GCP, or Azure using PaaS platforms
Familiarity with data privacy regulations and best practices
Experience with Data Visualization tools such as Tableau
Data processing architecture like Lambda Architecture
Indexing (SolR or ElasticSearch)
Prior experience converting Jupyter Notebooks into production processes
Data pipeline and workflow management tools: Airflow
Data lakes
Reporting / BI, design, implementation, and enhancement of BI tool is a plus
Skills
Python
Pandas
PySpark
REST APIs
HBASE
Cassandra
MongoDB
S3
blobs
Kafka
Kinesis
Flume
SQS
SNS
RabbitMQ
Spark
Flink
Hadoop
Talend
Informatica
SQL Server Integration Services (SSIS)
Snowflake
Redshift
Hive
SQL
Looker
Power BI
Tableau
AWS
GCP
Azure
PaaS
Data Visualization
Lambda Architecture
SolR
ElasticSearch
Jupyter Notebooks
Airflow
Data lakes
Benefits
Remote stipend
About Truelogic
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Responsibilities
•
5+ years working on the role professionally.
•
Coding:
•
Coding Python and use in data processing solutions and related data technologies like Pandas, and PySpark.
•
Consume data from different sources like REST APIs.
•
Data Stores:
•
Work with relational and non-relational data stores (like: HBASE, Cassandra or MongoDB; S3, blobs).
•
Consumption;
•
Design.
•
Data Streams (Kafka, Kinesis, Flume,) and message queuing (SQS, SNS, RabbitMQ, etc).
•
Ensure that the data model scales and enables high performance.
•
Distributed data stores.
•
Processing:
•
Data/Stream processing (Spark, Flink, Hadoop).
•
Data pipelines, data ingestion pipelines, scalable streaming data pipelines processing.
•
ETL using solutions:
•
Talend;
•
Informatica;
•
SQL Server Integration Services (SSIS).
•
Reporting & Analytics:
•
Data warehouse (Snowflake, Redshift, Hive).
•
Implementation of data warehouse solutions, providing near real-time data to a variety of client systems;
•
Using SQL databases to construct data storage.
•
Reporting / BI, design, implementation, and enhancement of BI tool is a plus.
•
Looker;
•
Power BI;
•
Tableau.
•
Experience designing and implementing data applications and services on the public cloud, AWS, GCP, or Azure using PaaS platforms.
•
Familiarity with data privacy regulations and best practices
It will be great if you also know
•
Experience with Data Visualization tools such as Tableau.
•
Data processing architecture like Lambda Architecture.
•
Indexing (SolR or ElasticSearch).
•
Prior experience converting Jupyter Notebooks into production processes.
•
Data pipeline and workflow management tools.
•
Airflow.
•
Data lakes.
What We Offer
•
100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
•
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
•
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
•
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
•
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You’ll Like Working Here
•
A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
•
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
•
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you’re working with the best in your field.
Apply now!
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