Data Engineer

Hi, Hope you are doing well, IMMEDIATE INTERVIEW(Interview Process: One + done) = GCP Data Engineers in Hartford, Connecticut -HYBRID (NEED LOCAL CANDIDATE)- OPEN FOR W2 CANDIDATE Please find the Job details below and kindly revert if you’re interested in learning more about this job. Job Title: GCP Data Engineers Location: Hartford, Connecticut -HYBRID (NEED LOCAL CANDIDATE) Duration: 6-12 mo. contract NEED ONE MANAGER REFERNCE AND THEIR LINKEDIN PROFILE AND OFFICIAL EMAIL ID. Other Acceptable Titles: GCP Engineer, Data Engineer, Cloud Engineer Top 3 must-have technologies: • GCP • Python • SQL Nice-to-Haves: • Teradata (platform they are moving off of) • Healthcare experience Will be looking for: • Candidates who are well-versed + hands-on with required technologies • Candidates who are self-sufficient and can be independent Position Detail: We are seeking skilled Data Engineer(s) to support a high-impact enterprise data migration initiative. The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud Platform (GCP). The role involves hands-on development, testing, and optimization of data pipelines and warehouse structures in GCP, ensuring minimal disruption and maximum performance. Key Responsibilities: • Lead and execute migration of data and ETL workflows from Teradata to GCP-based services such as BigQuery, Cloud Storage, Dataflow, Dataproc, and Composer (Airflow). • Analyze and map existing Teradata workloads to appropriate GCP equivalents. • Rewrite SQL logic, scripts, and procedures in GCP-compliant formats (e.g., standard SQL for BigQuery). • Collaborate with data architects and business stakeholders to define migration strategies, validate data quality, and ensure compliance. • Develop automated workflows for data movement and transformation using GCP-native tools and/or custom scripts (Python). • Optimize data storage, query performance, and costs in the cloud environment. • Implement monitoring, logging, and alerting for all migration pipelines and production workloads. Required Skills: • 4 to 6+ years of experience in Data Engineering, with at least 2 years in GCP. • Strong hands-on experience in Teradata data warehousing, BTEQ, and complex SQL. • Solid knowledge of GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc. • Experience with ETL/ELT pipelines using custom scripting tools (Python/Java). • Proven ability to refactor and translate legacy logic from Teradata to GCP. • Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data environments. • Strong analytical, troubleshooting, and communication skills. Preferred Qualifications: • GCP certification (Preferred: Professional Data Engineer). • Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on GCP. • Experience working in the healthcare domain. • Knowledge of data governance, security, and compliance in cloud ecosystems. Behavioral Skills: • Problem solving mindset • Attention to detail • Accountability and ownership • Curious and staying current with evolving GCP services Preference: Ability to work in Hartford, CT office at least thrice a week.