Data Engineer with Vertica experience

Mindfore Technologies

United States

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Mindfore Technologies is seeking a Data Engineer to design and implement robust ETL/ELT pipelines. The role is remote and focuses on managing large datasets with tools like Snowflake, MySQL, and Apache Airflow. Ideal candidates have strong experience in ETL/ELT development, are proficient in Shell/Bash scripting and Python, and understand data modeling and SQL performance tuning. You will collaborate with data analysts to optimize processes and document technical architecture.

Qualifications

  • Good experience in ETL/ELT development.
  • Strong experience with MySQL and PL/SQL.
  • Hands-on experience with Vertica and Snowflake.
  • Proficient in Shell/Bash scripting and Python.
  • Solid understanding of data modeling and SQL performance tuning.
  • Familiarity with DBT for transformation workflows.
  • Basic knowledge of Fivetran and Apache Airflow.
  • Experience working in an Agile environment.
  • Excellent problem-solving and communication skills.
  • Experience with Git version control.
  • Exposure to CI/CD pipelines for data engineering.
  • Knowledge of AWS cloud platforms.
  • Familiarity with data governance and security best practices.

Responsibilities

  • Design and implement robust ETL/ELT pipelines to ingest, transform, and load data from various sources.
  • Work with relational and columnar databases including MySQL, PL/SQL, and Vertica to manage large datasets.
  • Develop and schedule data workflows using Shell/Bash scripting and Python.
  • Build and maintain data pipelines on Snowflake using ELT best practices.
  • Collaborate with data analysts, data scientists, and other stakeholders to understand data needs.
  • Optimize existing processes for scalability and performance.
  • Use tools like Airflow, Fivetran, and DBT for orchestration, transformation, and data movement.
  • Monitor data pipeline performance and resolve issues in a timely manner.
  • Document processes, data flows, and technical architecture.

Skills

ETL/ELT development
MySQL
PL/SQL
Snowflake
Vertica
Shell/Bash scripting
Python
DBT (Data Build Tool)
Fivetran
Apache Airflow
Data modeling
SQL performance tuning
Git version control
CI/CD pipelines
AWS cloud platforms
Data governance

Job description

Role: Data Engineer with snowflake, vertica, ETL, MySQL, Airflow

Location: Remote

Duration: 6 months

Responsibilities
  • Design and implement robust ETL/ELT pipelines to ingest, transform, and load data from various sources.
  • Work with relational and columnar databases including MySQL, PL/SQL, and Vertica to manage large datasets.
  • Develop and schedule data workflows using Shell/Bash scripting and Python.
  • Build and maintain data pipelines on Snowflake using ELT best practices.
  • Collaborate with data analysts, data scientists, and other stakeholders to understand data needs.
  • Optimize existing processes for scalability and performance.
  • Use tools like Airflow, Fivetran, and DBT for orchestration, transformation, and data movement.
  • Monitor data pipeline performance and resolve issues in a timely manner.
  • Document processes, data flows, and technical architecture.
Required Skills & Qualifications
  • Good experience in ETL/ELT development.
  • Strong experience with MySQL and PL/SQL.
  • Hands‑on experience with Vertica and Snowflake.
  • Proficient in Shell/Bash scripting and Python.
  • Solid understanding of data modeling and SQL performance tuning.
  • Familiarity with DBT (Data Build Tool) for transformation workflows.
  • Basic knowledge of Fivetran and Apache Airflow.
  • Experience working in an Agile environment.
  • Excellent problem‑solving and communication skills.
  • Experience with Git version control.
  • Exposure to CI/CD pipelines for data engineering.
  • Knowledge of AWS cloud platforms.
  • Familiarity with data governance and security best practices.
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