Tech Lead TECHM-JOB-23845

Keylent, Inc.

$100K — $130K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-10 years of experience in ETL, Data Warehousing, and Business Intelligence technologies.
  • Strong expertise in Talend Data Integration tools, including Talend studio and TAC.
  • Proficient in SQL for database queries and optimization.
  • Experience with cloud and on-premises data solutions, particularly Snowflake, AWS, and Azure.
  • Excellent communication skills for client interaction and requirement analysis.

Responsibilities

  • Lead the design and development of ETL processes using Talend and other tools.
  • Implement data ingestion and transformation strategies, ensuring data quality and performance.
  • Develop and maintain Power BI reports and dashboards for business insights.
  • Collaborate with stakeholders to gather requirements and translate them into technical specifications.
  • Oversee metadata management, data lineage, and data governance practices.

Benefits

  • Hybrid work model allowing flexibility between remote and on-site work.
  • Opportunity to work with leading technologies in data integration and analytics.
  • Collaborative work environment with a focus on professional growth.
Full Job Description
Tech Lead TECHM-JOB-23845
Location : Richmond, VA
Duration :12 Months
Type : FTE/Subcon
Hybrid Acceptable (Need Local Consultant or onsite)
8-10 Yrs

Role1 :Talend Developer
  • Extensive experience in ETL and DW
  • Experience with designing and implementing data ingestion and converstion
  • Expertise in Talend Data Integration, Talend studio, TAC
  • Strong in SQL
  • Proficient in DB queries and performance tuning
  • Experience working with and integrating to cloud and on-prem databases/ data warehouses.
  • Excellent client facing and requirement analysis skills
Role 2 : Power BI Developer
  • Extensive hands-on development experience with Power BI and Microsoft BI stack
  • Strong SQL skills
  • Proficiency in dimensional data modeling and database design, performance tuning
  • Experience with cloud data warehousing - Snowflake + AWS and/or Azure stack
  • Exposure to ETL and data integration
  • Expertise in metadata management, data lineage and data governance

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