Data Engineer - PROD support

Acestack; Charlotte (NC); On-site; USD 110,000 - 160,000; Full time

Job summary

Acestack is seeking a Data Engineer for production support in Charlotte, NC. The role requires 5–10 years in data/ software engineering and hands‑on experience with ETL/ELT pipelines, distributed data processing, and cloud data platforms.

You will work on data flows, data quality, governance, and support for release cycles, with strong Python/SQL skills and familiarity with Hadoop ecosystem tools.

Qualifications

• 5–10 years of data engineering or related experience.
• Strong Python and SQL skills for advanced data transformations.
• Hands‑on experience designing and building ETL/ELT pipelines and data ingestion processes.
• Experience with distributed data tools like Spark, Databricks, or Hadoop ecosystems.
• Experience with relational and cloud data platforms (Teradata, Snowflake, SQL Server, Azure/AWS/GCP).
• Understanding of data modeling, metadata, data quality controls, and data security.

Responsibilities

• 5–10 years of experience in Data Engineering, Software Engineering, or related field.
• Strong proficiency in Python, and SQL for advanced data transformations.
• Hands‑on experience designing and building ETL/ELT pipelines, data ingestion processes, and distributed data processing jobs.
• Practical experience with distributed data tools such as Apache Spark, Databricks, or Hadoop ecosystems.
• Experience building datasets in relational and cloud platforms (Teradata, Snowflake, SQL Server, Azure/AWS/GCP).
• Knowledge of CI/CD pipelines, Git, and automated deployment practices.

Skills

PySpark

Hive

Python

SQL

Hadoop

Unix

Agile

Base support

Tools

Databricks

Teradata

Snowflake

SQL Server

Azure/AWS/GCP

Job description

Role: Data Engineer - PROD support

Location: Charlotte, NC (Onsite)

Fulltime Permanent

Job Description

Data engineer Prod support

Must Have Technical/Functional Skills

Primary Skill: PySpark, Hive, Python, SQL, Hadoop

Secondary: Unix, Agile, Base support

Experience: 5 to 10 years

Roles & Responsibilities

• 5 to 10 years of experience in Data Engineering, Software Engineering, or related technical discipline.
• Strong proficiency in Python, and SQL for advanced data transformations.
• Hands‑on experience designing and building ETL/ELT pipelines, data ingestion processes, and distributed data processing jobs.
• Practical experience working with distributed data tools such as Apache Spark, Databricks, or Hadoop ecosystems.
• Experience building and managing datasets in relational and/or cloud based data platforms (Teradata, Snowflake, SQL Server, Azure/AWS/GCP).
• Solid understanding of data modeling, metadata, data quality controls, data lineage, and secure data management.
• Experience contributing to automated test suites, analyzing test failures, and supporting test‑driven development.
• Knowledge of CI/CD pipelines, version control (Git), and automated deployment practices.
• Experience adhering to enterprise data governance, compliance …
• Ability to troubleshoot pipeline issues…
• Strong communication…
• Experience implementing monitoring…
• Advanced…
• Knowledge …
• Experience supporting …
• Prior experience in a financial institution or other regulated industry

A Data Engineer is essential to implement efficient data flows, enforce data management standards, enhance data quality, and support continuous delivery and release cycles. Without this role, the project risks delays in data readiness, gaps in data compliance, reduced quality of analytical outputs, and inability to support downstream systems effectively.

Client is mainly looking for Production support ole to be able to root cause analysis of prod issues across different tech stack that we have(Hadoop, Oracle and MongoDB).Autosys knowledge, Analyze and fix performance issues, Dev work related to App Gov and other mandates.