Data Engineer

Machine Learning Technologies, LLC; Jersey City (NJ); Vor Ort; USD 110.000 - 150.000; Vollzeit

Zusammenfassung

Machine Learning Technologies, LLC seeks an experienced Data Engineer to build and maintain scalable data pipelines, data warehouses, and data integration solutions that turn raw data into analytics-ready datasets. You will support business intelligence, reporting, and data science initiatives while collaborating with data analysts, scientists, and stakeholders to drive data-driven decisions.

The role emphasizes Python, SQL, Spark, ETL/ELT tooling, cloud platforms (AWS/Azure/GCP), and

Qualifikationen

• Bachelor's degree in a related field or equivalent experience.
• 5+ years of experience in data engineering, data integration, or ETL development.
• Strong proficiency in Python, SQL, and data transformation techniques.
• Hands-on experience with cloud data platforms and distributed processing.
• Understanding of relational databases, data warehousing, and data lake architecture.

Aufgaben

• Design, develop, and maintain robust ETL/ELT pipelines for structured and semi-structured data.
• Ingest data from APIs, databases, files, and streaming sources.
• Build scalable data transformation workflows using Python, SQL, and Spark.
• Develop and optimize data warehouse tables, data models, and analytical datasets.
• Implement batch and real-time data processing solutions.
• Improve query performance, pipeline reliability, and data processing efficiency.
• Implement data quality checks, validation rules, reconciliation, and error-handling mechanisms.
• Monitor production pipelines and troubleshoot data failures.
• Apply data security, access controls, and governance standards.
• Collaborate with data analysts, data scientists, architects, and business stakeholders.
• Automate deployments and support CI/CD practices.
• Maintain technical documentation and participate in Agile development activities.

Kenntnisse

Analytical thinking

Communication

Problem solving

Ausbildung

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Tools

Python

SQL

PySpark

Informatica

Azure Data Factory

AWS Glue

Snowflake

Databricks

Amazon Redshift

Google BigQuery

Apache Spark

Hadoop

Kafka

PostgreSQL

SQL Server

Oracle

MySQL

AWS

Azure

GCP

Star schema

snowflake schema

dimensional modeling

data warehouse design

Git

CI/CD

Docker

automated testing

Jobbeschreibung

We are seeking an experienced Data Engineer to build and maintain scalable data pipelines, data warehouses, and data integration solutions. The candidate will transform raw data into reliable, analytics-ready datasets and support business intelligence, reporting, and data science initiatives.

Required Technical Skills

Programming: Python, SQL, PySpark.

ETL/ELT: Informatica, Azure Data Factory, AWS Glue, or equivalent data integration tools.

Data Platforms: Snowflake, Databricks, Amazon Redshift, or Google BigQuery.

Big Data: Apache Spark, Hadoop, Kafka.

Databases: PostgreSQL, SQL Server, Oracle, or MySQL.

Cloud: AWS, Azure, or GCP.

Data Modeling: Star schema, snowflake schema, dimensional modeling, and data warehouse design.

DevOps: Git, CI/CD, Docker, and automated testing.

Key Responsibilities

Design, develop, and maintain robust ETL/ELT pipelines for structured and semi-structured data.

Ingest data from APIs, databases, files, and streaming sources.

Build scalable data transformation workflows using Python, SQL, and Spark.

Develop and optimize data warehouse tables, data models, and analytical datasets.

Implement batch and real-time data processing solutions.

Improve query performance, pipeline reliability, and data processing efficiency.

Implement data quality checks, validation rules, reconciliation, and error-handling mechanisms.

Monitor production pipelines and troubleshoot data failures.

Apply data security, access controls, and governance standards.

Collaborate with data analysts, data scientists, architects, and business stakeholders.

Automate deployments and support CI/CD practices.

Maintain technical documentation and participate in Agile development activities.

Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.

5+ years of experience in data engineering, data integration, or ETL development.

Strong proficiency in Python, SQL, and data transformation techniques.

Hands-on experience with cloud data platforms and distributed processing.

Understanding of relational databases, data warehousing, and data lake architecture.

Experience with performance tuning, debugging, and production support.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.