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Data Engineer

Veracity

Data Engineer
Location: Ridgefield, Connecticut, United States
Work Arrangement: Flexible work-from-home days (onsite 2-3x per week)
Openings: 2
Step into the future with our Enterprise Data, AI & Platforms (EDP) team! At our company, we harness Data & AI to transform healthcare , positively impacting the lives of millions of patients and animals. As part of the EDP team, you will contribute to building a strong data-driven culture , drive key data transformation initiatives , and shape the future of decision-making across our global organization.
We are seeking a highly skilled and experienced Data Engineer to design, build, and maintain scalable data infrastructure on a cloud platform. You will be responsible for data pipelines, ETL processes, and overall data architecture strategy , ensuring data availability, quality, and integrity for business stakeholders and analytics teams.
Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes .
  • Collaborate with data architects, modelers, IT, and business stakeholders to define and evolve cloud-based data architecture.
  • Optimize data storage solutions (e.g., S3, Snowflake, Redshift), ensuring data integrity, security, and accessibility .
  • Implement data quality, validation processes, and monitoring frameworks .
  • Maintain documentation for data workflows, architecture, and pipeline processes.
  • Troubleshoot and optimize data pipeline performance .
  • Engage with clients and stakeholders to analyze requirements and recommend data solutions.
  • Stay current with emerging technologies and industry trends in cloud and data engineering.
Requirements:
Data Engineer:
  • Associate degree in Computer Science/MIS (4+ years experience) or Bachelor's (2+ years) or Master's (1+ year) in related field.
  • Hands-on experience with AWS services (Glue, Lambda, Athena, Step Functions, Lake Formation).
  • Proficiency in Python and SQL .
  • Familiarity with DevOps/CI/CD principles and project lifecycle methodologies.
  • Moderate knowledge of cloud platforms (AWS, Azure, GCP) and data integration concepts.
Senior Data Engineer:
  • Associate degree (8+ years experience) or Bachelor's (4+ years) or Master's (2+ years) in relevant field.
  • Expert-level experience in cloud platforms , preferably AWS.
  • Advanced SQL skills , data modeling, and data warehousing concepts (Kimball, star/snowflake schemas).
  • Experience with big data frameworks (Spark, Hadoop, Flink) and relational/NoSQL databases .
  • Hands-on experience with ETL/ELT tools (Airflow, dbt, AWS Glue).
  • Knowledge of DevOps/CI/CD for data solutions .
Desired Skills & Abilities:
  • 4+ years of progressive data engineering experience with cloud-based data platforms.
  • Understanding of data governance, data quality, and metadata management .
  • Familiarity with Snowflake and dbt (data build tool).
  • Strong problem-solving skills in pipeline troubleshooting and optimization.
  • AWS Solutions Architect certification is a plus.
Technical Skills (Required):
  • AWS services: Glue, Lambda, Athena, Step Functions, Lake Formation
  • Programming Languages: Python, SQL
Vacancy posted 3 days ago
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