Intellibus
Senior Data Engineer – AWS, SQL & ETL Pipelines
Intellibus, Granite Heights, Wisconsin, United States
Imagine working at
Intellibus
to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps that support the backbone of the Financial Trading Industry. Are you a data enthusiast with a natural ability for analytics? We’re looking forward skilled Data/Analytics Engineers to fill
multiple roles
for our exciting new client. This is your chance to shine, demonstrating your dedication and commitment in a role that promises both challenge and reward. What We Offer
A dynamic environment where your skills will make a direct impact. The opportunity to work with
cutting-edge technologies
and innovative projects. A collaborative team that values your passion and focus. Responsibilities
Develop and deliver AWS-based data solutions with hands-on cloud engineering expertise. Build and manage big data pipelines using Snowflake & Postgres or similar Spark-based platforms. Design and implement parallel ETL processes to optimize resources and processing speed. Architect data models and modern data solutions, including cloud technologies. Collaborate cross-functionally to translate business needs into technical requirements. Drive performance monitoring and reliability of the Data Platform. Lead the creation of technical specification, design, and end-to-end documentation. Ensure runbook SLA compliance and oversee daily cloud platform operations. Utilize tools like Git, Jira, and agile methodologies for project management. Ensure data security and compliance with relevant regulations. Key Skills & Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in Data engineering, with a strong focus on building and managing data pipelines. Proficiency in programming languages such as Python, Java, or Scala. Extensive experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., DynamoDB). Demonstrated experience with cloud data platforms (e.g., AWS) and their data services (e.g., S3, Redshift, Snowflake, BigQuery, Data Factory). Solid understanding of ETL/ELT principles and experience with tools like Apache Airflow, dbt, or similar. Experience with big data technologies such as Apache Spark, Kafka. Strong understanding of data modeling, data warehousing concepts, and dimensional modeling. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team. We work closely with
ETL Talend Jasper Java Python Unix AWS Data Warehousing Data Modeling Database Migration RBAC model Our Process
Schedule a 15 min Video Call with someone from our Team 4 Proctored GQ Tests ( 30-45 min Final Video Interview Receive Job Offer If you are interested in reaching out to us, please apply and our team will contact you within the hour.
#J-18808-Ljbffr
Intellibus
to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps that support the backbone of the Financial Trading Industry. Are you a data enthusiast with a natural ability for analytics? We’re looking forward skilled Data/Analytics Engineers to fill
multiple roles
for our exciting new client. This is your chance to shine, demonstrating your dedication and commitment in a role that promises both challenge and reward. What We Offer
A dynamic environment where your skills will make a direct impact. The opportunity to work with
cutting-edge technologies
and innovative projects. A collaborative team that values your passion and focus. Responsibilities
Develop and deliver AWS-based data solutions with hands-on cloud engineering expertise. Build and manage big data pipelines using Snowflake & Postgres or similar Spark-based platforms. Design and implement parallel ETL processes to optimize resources and processing speed. Architect data models and modern data solutions, including cloud technologies. Collaborate cross-functionally to translate business needs into technical requirements. Drive performance monitoring and reliability of the Data Platform. Lead the creation of technical specification, design, and end-to-end documentation. Ensure runbook SLA compliance and oversee daily cloud platform operations. Utilize tools like Git, Jira, and agile methodologies for project management. Ensure data security and compliance with relevant regulations. Key Skills & Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in Data engineering, with a strong focus on building and managing data pipelines. Proficiency in programming languages such as Python, Java, or Scala. Extensive experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., DynamoDB). Demonstrated experience with cloud data platforms (e.g., AWS) and their data services (e.g., S3, Redshift, Snowflake, BigQuery, Data Factory). Solid understanding of ETL/ELT principles and experience with tools like Apache Airflow, dbt, or similar. Experience with big data technologies such as Apache Spark, Kafka. Strong understanding of data modeling, data warehousing concepts, and dimensional modeling. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team. We work closely with
ETL Talend Jasper Java Python Unix AWS Data Warehousing Data Modeling Database Migration RBAC model Our Process
Schedule a 15 min Video Call with someone from our Team 4 Proctored GQ Tests ( 30-45 min Final Video Interview Receive Job Offer If you are interested in reaching out to us, please apply and our team will contact you within the hour.
#J-18808-Ljbffr