Functional Skills
Team Player: Support peers, team, and department management.
Communication: Excellent verbal, written, and interpersonal communication skills.
Problem Solving: Excellent problem-solving skills, incident management, root cause
analysis, and proactive solutions to improve quality.
Partnership and Collaboration: Develop and maintain partnership with business and
IT stakeholders
Attention to Detail: Ensure accuracy and thoroughness in all tasks.
Technical/Business Skills
Data Engineering:
10+ years of experience in designing and building Data Warehouse and Data
lakes. Positive knowledge of data warehouse principles, and concepts.
Technical expertise working in large scale Data Warehousing applications
and databases such as Oracle, Netezza, Teradata, and SQL Server.
Cloud-based data platform experience especially Snowflake and AWS.
Data integration skills:
Expertise in design and development of complex data pipelines
Solutions using any industry leading ETL tools such as IBM Data Stage or
SSIS or SAP Business Objects Data Services (BODS)
Experience with Unix, Python or equivalent scripting language
Basic knowledge of Transform/ELT tools such as DBT, Qlik Replicate, AWS
Glue or Snowpark, etc.
Expert in SQL, stored procedures and adept in tracing and resolving data integrity
issues.
Robust knowledge of data architecture, data design patterns, modeling
Data Model: Expertise in Logical and Physical Data Model using Relational,
Dimensional or Data Vault Modeling practices with high volume ETL/ELT processes.
Internal
Valuable experience with scheduling tools such as Control-M
Performance tuning of data pipelines and DB Objects to deliver optimal
performance.
Experience in Gitlab version control and CI/CD processes.
Experience working in Financial Industry is a plus.
Relationships & Collaboration
Reports to: Associate Director - Data Engineering
Partners: Senior leaders and cross-functional teams
Leads: A team of Data Engineering associates
📌 Lead Data Engineer Bengaluru
🏢 Credence HR Services
📍 Bengaluru
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