Data Engineer Level 4

V R Della Infotech Inc

Orlando, FL, United States

16 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Automation of Tests Big Data Cloud Storage Software Quality Code Review Information Engineering Data Integration Data Integrity Extract Transform Load (ETL) Data Profiling

+19 more

Data Warehousing Relational Databases Fault Tolerance Python (Programming Language) Performance Tuning SQL Databases Data Streaming Scripting Data Ingestion Snowflake Apache Spark Data Lakes Information Technology AWS Glue Integration Frameworks Real Time Data Apache Kafka Software Coding Data Pipelines

Job description

As a Development Lead, you will drive the end-to-end lifecycle of data ingestion, transformation, and distribution. You will provide onsite presence and technical leadership to offshore team, enforce best practices for code quality and testing, collaborate with enterprise architects to align data pipelines with critical business intelligence and analytics requirements. You will also be working hands-on developing critical data pipeline artefacts. This role requires working from Client location in Orlando from Mon-Thu and can work remotely on Fri., Develop data/ETL pipelines and assess review the artefacts generated by a team of Data Engineers working from Offshore. Conduct code reviews, facilitate agile ceremonies, and oversee project delivery timelines. Design scalable, robust, and fault-tolerant batch and real-time data ingestion pipelines. Establish coding standards and integration design patterns. Oversee the Extraction, Transformation, and Loading (ETL) or Streaming Data processes across heterogeneous source systems (e.g., APIs, relational databases, flat files, and cloud storage) to centralized data warehouses and data lakes. Implement data profiling, Data reconciliation processes, validation frameworks, and automated testing procedures to ensure data integrity, consistency, and compliance. Partner with data architects, Data admins, product owners, and business analysts to translate complex business requirements into technical specifications. Troubleshoot critical data pipeline bottlenecks, optimize SQL queries, and manage incident resolution.

Requirements

Strong Key Skills - Python, Snowflake/Snow Sql, SQL, Good communication, * Bachelor’s degree in computer science, Information Technology, or a related field.

6+ years of experience in data warehousing, data engineering, or ETL/ELT development, with at least 1 2 years in a technical lead or senior engineering capacity.
Advanced proficiency in SQL and scripting languages like Python or Java.
Hands-on experience with modern data integration platforms (e.g., AWS Glue, Apache Spark, or Kafka).
Deep understanding of data modeling (snowflake schemas), real-time streaming architectures, and performance tuning large datasets.
Exceptional communication, stakeholder management, and project management capabilities.