Big Data Engineer
Akaasa Technologies
Big Data Engineer
Location : Remote ( Candidates must be available for an in-person interview or laptop pickup at one of the following locations: San Francisco, CA | Arlington, VA | Denver, CO | Chicago, IL | Boston, MA | New York, NY | Houston, TX | Miami, FL | Los Angeles, CA | Seattle, WA | Dallas, TX | Minneapolis, MN | Birmingham, MI | Irvine, CA)
Duration : 6 10 Months
Interview : In-person on any of the mentioned location
Note:
- Must be local with DL copy
- LinkedIn with location and photo (before 2023)
Position Overview
We are seeking a Big Data Engineer to design and build scalable data platforms that support advanced analytics and AI-driven use cases. The primary focus of this role is data readiness , including large-scale data ingestion, transformation, processing, and feature engineering. AI/ML experience is preferred but not mandatory.
Key Responsibilities
- Build and maintain scalable, high-performance data pipelines for large-scale data processing and analytics.
- Develop data ingestion and transformation frameworks for structured and unstructured data from multiple sources.
- Build and support feature engineering pipelines to prepare high-quality datasets for analytics and AI/ML use cases.
- Ensure data quality, reliability, availability, and consistency throughout the data lifecycle.
- Collaborate with data scientists, analysts, and engineering teams to ensure data is production-ready and easily accessible.
- Optimize data workflows for performance, scalability, and cost efficiency within AWS environments.
- Contribute to the design and implementation of modern AWS-based data architectures.
Required Skills
- Strong experience with Big Data technologies such as Spark, Hadoop, Kafka, or similar platforms.
- Hands-on experience with the AWS data ecosystem , including services such as S3, EMR, Glue, Redshift, and Lambda.
- Strong experience building ETL/ELT pipelines and data ingestion frameworks .
- Experience with data modeling, schema design, and large-scale data processing.
- Strong programming experience with Python, Java, or Scala .
- Familiarity with feature engineering and data preparation for analytics or AI/ML workloads.
- Understanding of data governance, data quality, monitoring, and pipeline reliability.
- Experience with workflow orchestration tools such as Airflow is a plus.
- AI/ML exposure or experience supporting AI data pipelines is preferred but not mandatory .
Vacancy posted 1 day ago
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