What are the responsibilities and job description for the Data Engineer position at TechniPros, LLC?

Job Title: Data Engineer
Location: Dallas, TX, Oklahoma City, Ok, Little Rock, AK, Shreveport, LI, Albuquerque, NM
Looking for W2 No C2C

Job Description:

Lead the design, development, and optimization of large-scale, secure, and high-performance data pipelines across batch, real-time, and event-driven systems.
Partner with cross-functional teams to deliver analytics, reporting, and ML-ready datasets.

Key Responsibilities:

Architect, build, and optimize batch and real-time data pipelines for enterprise-scale systems
Integrate datasets from databases, files, APIs, and event streams (Kafka/Kinesis)
Ensure data quality, scalability, reliability, and performance across pipelines
Prepare curated datasets for analytics, reporting, and ML models
Implement data security (access control, encryption, masking) and governance practices
Monitor, troubleshoot, and tune data infrastructure for optimal efficiency
Collaborate closely with data scientists, architects, and business teams to define data solutions
Introduce best practices, mentor engineers, and drive data engineering standards

Mandatory Skills (with Experience):

Data Engineering (Overall): 8 12 years
Python / Java / Spark: 6 10 years (strong coding)
SQL & NoSQL Databases: 6 10 years (RDS, Redshift, DynamoDB, Synapse, BigQuery, MongoDB)
Batch & Streaming Systems: 5 8 years (Kafka/Kinesis/event-driven systems)
Cloud Experience: 5 8 years across AWS, Azure, Google Cloud Platform (minimum two clouds)
APIs & Messaging Systems: 4 6 years (REST, event-driven architectures)
Large-scale Dataset Engineering: 5 8 years (performance optimization)
Graph Databases: 1 2 years (Neptune, RDF4j)
Vector Databases: 1 2 years (Pinecone, FAISS)
Data Security: 3 5 years (encryption, access control, masking)

Soft Skills:

Nice to Have:

Best Regards:

Tanuja P
Phone:
Email:

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