Hi
Hope you are doing well!
My name is Mohit Sandhu and I am working with Alpha Silicon. We Are
Headquartered in Santa Clara, CA serving customers nationwide in the United
States. We have the following Job Openings..
Job Title: Sr. Data Architect
Location: Jersey City, NJ ( Onsite
day 1)
Duration: Long Term Contract
Job
Description:
Required Skills :
- Design, build and operationalize large scale enterprise data
solutions and applications using one or more of AWS data and analytics
services in combination with 3rd parties - Spark, EMR, Kinesis, Kafka, API
data. Hands-on in python, pyspark /glue is must.
- Airflow , Lake formation tag based access and Lake Formation Tages
Access/Role creation etc… which is key for project.
- Experience of Big data and Hive
- Analyze, re-architect and re-platform on-premise data warehouses to
data platforms on AWS cloud using AWS or 3rd party services.
- Design and build production data pipelines from ingestion to
consumption within a big data architecture, using Java, Python, Scala.
- Design and implement data engineering, ingestion and curation
functions on AWS cloud using AWS native or custom programming.
- Perform detail assessments of current state data platforms and
create an appropriate transition path to AWS cloud.
- Experience in redshift database / Snowflake knowledge preferable
- Experience in handling project in AWS data landscape - EMR,
Hadoop Big data and Hive, Kinesis, Kafka, Spark, API data,.
- Experience of Splunk, ELK (Elasticsearch, Logstash, and Kibana)
preferable
- Hands-on administering Jenkins, or proficiency with other CI/CD
tools.
- Deployment Orchestration and Containerization (Docker or
Kubernetes) preferable
- Experience with building data pipelines and applications to stream
and process datasets at low latencies.
- Show efficiency in handling data - tracking data lineage, ensuring
data quality, and improving discoverability of data
- Sound knowledge of distributed systems and data architecture
(lambda)- design and implement batch and stream data processing pipelines,
knows how to optimize the distribution, partitioning, and MPP of
high-level data structures.
- Knowledge
of Engineering and Operational Excellence using standard methodologies.
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