Data Engineer

Innovity Incorporated

Indianapolis, IN, United States

6 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$73,450.0 - $132,775.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Amazon S3 Cloud Database Information Systems Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Systems Data Warehousing

+13 more

Python (Programming Language) Oracle (Applications) Performance Tuning SQL Databases Workflow Management Systems Enterprise Software Applications Snowflake Apache Spark Generative AI Information Technology Apache Kafka Data Pipelines Databricks

Job description

Design, build, and maintain scalable ETL/ELT data pipelines using Python and SQL.
Develop and optimize data solutions in Snowflake, including data modeling, performance tuning, and automation.
Integrate and transform data from Oracle, APIs, AWS services, and other enterprise systems.
Build and manage workflow orchestration using Apache Airflow.
Develop cloud-native data solutions utilizing AWS services such as S3, Glue, Lambda, and ECS/EKS.
Ensure data quality, reliability, security, and governance across the data platform.
Support AI and analytics initiatives by preparing datasets and building pipelines for ML and Generative AI use cases.
Collaborate closely with architects, analysts, data scientists, and business stakeholders to deliver scalable data solutions., Description We are seeking a Senior Transmission Line Engineer who will work as a member of a dynamic team working in a fast paced environment, solving challenging problems invol…
4 days ago

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
8+ years of experience in Data Engineering or Data Platform development.
Strong hands-on expertise in:
Snowflake
SQL (Advanced)
Python (Advanced)
AWS
Oracle
Apache Airflow
Experience designing and supporting enterprise-scale data pipelines and data warehouses.
Strong understanding of data modeling, performance optimization, and cloud-based data architectures.
Excellent analytical, problem-solving, and communication skills., * Experience with Snowpark, Streams, Tasks, and Dynamic Tables.
Exposure to AI/ML, Generative AI, RAG architectures, or vector databases.
Experience with Spark, Kafka, or Databricks.
SnowPro and/or AWS certifications.
Experience in financial services or capital markets environments.