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Data Engineer

9 hours, 21 minutes ago
Anywhere
Full-time
Senior
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Azure Computer Vision Databricks GCP Hadoop Java Python Scala Snowflake SQL Terraform
Apply Now
Effectual

Effectual

Effectual is a prominent cloud services provider that focuses on delivering cloud migration and modernization solutions to facilitate digital transformation for enterprises.

Internet Software & Services
51-250
Founded 1858
View All Jobs

Description

  • Design and create the overall data architecture, including databases and large-scale processing systems.
  • Define how data is stored, consumed, integrated, and managed across data entities and IT systems.
  • Build scalable data pipelines to extract, transform, and load data from diverse sources.
  • Ensure data strategies and architectures comply with regulatory requirements.
  • Work with business executives to align data architecture with business requirements.
  • Improve reporting processes and automate or simplify client self-service workflows.
  • Implement, maintain, and update data management tools and systems.
  • Optimize data retrieval and perform database maintenance tasks.
  • Collaborate closely with data scientists and other technology teams to support complex analytics needs.
  • Develop, code, and deploy Python scripts and data workflow solutions.

Requirements

  • Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
  • 4-7 years of experience working as a Data Engineer, preferably in a professional services or consulting environment.
  • Strong proficiency in Python, Java, or Scala.
  • Expertise with data processing frameworks and libraries such as Spark, Hadoop, and SQL.
  • In-depth knowledge of relational and NoSQL databases, data modeling, and data warehousing concepts.
  • Experience with cloud data platforms and services such as AWS, Azure, or Google Cloud.
  • Familiarity with tools and technologies such as S3, Redshift, and BigQuery.
  • Proficiency in designing and implementing ETL and data integration workflows using Apache Airflow, Informatica, or Talend.
  • Familiarity with data governance, data quality frameworks, and data security principles.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Understanding of SDLC, object-oriented programming, agile delivery, and software engineering fundamentals.
  • AWS background and experience with AWS CloudFormation and AWS DMS.
  • Preferred experience or certifications in Snowflake, Databricks, Terraform, Python, and AWS architecture.
  • Ability to work independently with minimal direction and a solution-oriented mindset.

Benefits

  • Medical, dental, and vision insurance.
  • Short-term disability, long-term disability, and life insurance.
  • 401(k) with company match.
  • 120 hours of PTO accrued over one year.
  • 14 days of paid time off for major holidays.
  • Full-time employees are eligible for employee benefit programs.
  • Salary range of $132,000-$166,000.

Interested in this position?

Apply directly on the company website

Apply Now

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