MeridianLink

MeridianLink

Sr Data Engineer

US Remote · Senior

Sponsorship not specifiedDetected 8 days ago
PythonData StructuresSQLBigQuerySnowflakeRedshiftDatabricksAWSAzureCI/CDMachine LearningSparkAirflowdbtData EngineeringSalesforceForecastingProblem SolvingNetSuite

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About the role

  • The Senior Data Engineer will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources. The role will develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end-users to consume and analyze
  • - Senior Data Engineers will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources

Responsibilities

  • The Senior Data Engineer will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources.
  • The role will develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end-users to consume and analyze data faster and easier.

Requirements

  • Knowledge, Skills, and Abilities:
  • Deep expertise in Python, SQL, and distributed processing frameworks like Apache Spark, Databricks, Snowflake, Redshift, BigQuery.
  • Proven experience with cloud-based data platforms (preferably AWS or Azure).
  • Hands-on experience with data orchestration tools (e.g., Airflow, dbt) and data warehouses (e.g., Databricks, Snowflake, Redshift, BigQuery).
  • Strong understanding of data security, privacy, and compliance within a financial services context.
  • Experience working with structured and semi-structured data (e.g., Delta, JSON, Parquet, Avro) at scale.
  • Familiarity with modelling datasets in Salesforce, Netsuite and Anaplan to solve business use cases required.
  • Bachelor's or master's degree in computer science, Engineering, or a related field.
  • 6-8 years of experience in data engineering, with a strong focus on financial systems on SaaS platforms.

Nice to have

  • Working with people, processes facing Enterprise a plus, improvement of processes/reduction of costs in the enterprise processes leveraging data is preferable.
  • Previous experience Democratizing data at scale for the enterprise a huge plus.

Skills

  • Ability to assess unusual circumstances and use sophisticated analytical and problem-solving techniques to identify the cause
  • Enforce high standards for data governance, quality, lineage, and compliance
  • Champion a culture of security, automation, and continuous delivery in all data workflows
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