Junior Cloud Automation Engineer Job at Openkyber, New York, NY

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  • Openkyber
  • New York, NY

Job Description

CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.

we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.

We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.

If you are a partner company, please submit resumes with contact information of your own W2 Consultants only . Submitted consultants are expected to have excellent communication skills.

Roles/Responsibilities:
  • Assess feasibility and technical requirements for LINKS DataLake integration.
  • Collaborate with OPH Immunization Program, OPH Bureau of Health Informatics and STChealth on data specifications and recurring ingestion pipelines.
  • Build and optimize ETL workflows for LINKS and complementary datasets (Vital Records, labs, registries).
  • Design scalable data workflows to improve data quality, integrity, and identity resolution.
  • Implement data governance, observability, and lineage tracking across all pipelines.
  • Mentor engineers, support testing, and enforce best practices in orchestration and architecture.
  • Document and communicate technical solutions to technical and non-technical stakeholders.
Mandatory Skills:
  • 3 years of experience in data engineering and/or data architecture
  • 2 years of experience with Python for ETL and automation (pandas, requests, API integration).
  • 2 years hands-on experience with SQL queries, stored procedures, performance tuning (preferable Oracle, SQL Server, MySQL)
  • 1 year experience with ETL orchestration tools (Prefect, Airflow or equivalent).
  • 1 year experience with cloud platforms (Azure, AWS, or Google Cloud Platform), including data onboarding/migration.
  • 1 year exposure to data lake / medallion architecture (bronze, silver, gold)
  • 2 years of experience providing written documentation and verbal communication for cross functional collaboration.
Desirable Skills:
  • 5+ years of experience in data engineering roles
  • Experience integrating or developing REST/JSON or XML APIs
  • Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.).
  • Exposure to Infrastructure as Code experience (Terraform, CloudFormation).
  • Experience with data governance and metadata tools (Atlan, OpenMetadata, Collibra).
  • Public health/healthcare dataset or similar experience, including PHI/PII handling.
  • Familiarity with SAS and R workflows to support epidemiologists and analysts.
  • Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery).
  • Familiarity with data quality frameworks (Great Expectations, Deequ).
  • Experience with real-time/streaming tools (Kafka, Spark Streaming).
  • Familiarity with big data frameworks for large-scale transformations (Spark, Hadoop).
  • Knowledge of data security and compliance frameworks (HIPAA, SOC 2, etc.).
  • Agile/SCRUM team experience

Job Tags

Work at office, Local area,

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