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Data Engineer

Valce Talent Solutions
🇲🇽 Mexico
Remote
13 months ago
  • Agile
  • Tableau
  • Power BI
  • Databricks
  • SQL
  • ETL
  • ELT
  • Kinesis
  • Hadoop
  • Azure Data Factory
  • AWS Glue
  • Informatica
  • Talend
  • Snowflake
  • Redshift
  • Azure Synapse
  • Oracle
  • Data Visualization
  • Looker
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We are seeking a talented Data Engineer to join our Data Engineering & Analytics team. In this role, you will collaborate with our clients to address their most complex needs, working alongside a team of highly skilled engineers and architects. You will also be involved in strategic enterprise data projects and large-scale implementations.

Responsibilities:

· Support projects leveraging an agile delivery model through requirements gathering and documentation, data ingestion pipeline development, and technical testing.

· Contribute to project delivery in the following ways:

· Add configurations for data enrichments such as lookups, type conversions, calculations, and concatenations

· Add data quality rules

· Connect to new data sources

· Map multiple sources into a single output

· Interpret error messages to troubleshoot data pipelines

· Create outputs that facilitate reporting, dashboarding, and semantic modeling for tools such as Tableau and Power BI

· Test data pipelines to ensure accuracy

· Work closely with our clients as part of the development team to gather technical requirements and develop solutions

· Coordinate activities with data source application owners to understand the underlying data, ensure integration and data integrity

· Build relationships with clients through written and verbal communication

Qualifications:

· 2+ years of hands-on professional development experience, consulting experience preferred.

· 1+ years of experience working with Databricks

· Experience writing complex SQL queries related to data manipulation strategies

· Experience building or working with metadata-driven ETL / ELT patterns and concepts.

· Experience with Spark, Databricks, Kafka, Kinesis, Hadoop, and/or Lambda.

· Exposure using ETL tools (Azure Data Factory, AWS Glue, Informatica, Talend, IBM DataStage, etc.), database platforms (Snowflake, Redshift, Azure Synapse, or Oracle), and data visualization tools (Tableau, Power BI, Looker).

· Experience in technical testing, issue identification and resolution

· Strong verbal and written communication skills

Data Engineer · Valce Talent Solutions

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