About the position
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
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Fair Compensation
Fair pay and attractive terms
Onboarding
A Structured Start from Day One
A supportive team
Mutual Respect and Open Collaboration
Future Outlook
A Secure Job with Growth Opportunities
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