Senior Technical Lead

Job Summary

JD for Data Analyst:

Business & Domain Understanding:

o Translating business requirements into data structures and mappings
o Working with SMEs to define business terms and KPIs
o Understanding how data is consumed (reports, dashboards, analytics, APIs) and designing models accordingly
2.

Data Modeling & Mapping:

o Conceptual, logical, and physical data models; Normalization & Denormalization and when to use each
o Entity-relationship (ER) modelling; Dimensional modelling;Slowly Changing Dimensions (SCD types)
o Understand existing data model and alignment; work experience in ERwin,Maintaining models as living artefacts (versioning, change tracking)
o Source-to-target mapping (STM) / mapping specifications; Maintain Data Mapping & data dictionary document aligning standards.
o Understanding of source systems: APIs, databases, flat files, messages
o Mapping business concepts to data elements and attributes;Handling data transformations: cleansing, standardization, enrichment
o Understanding how models and mappings are implemented in ETL;How mapping specs are handover docs for ETL developers / engineers
3.

SQL & Querying:

o Strong SQL for exploring data and validating models;Joins, aggregations, window functions
o Strong data profiling to refine models and mappings
4.

Testing & Data Validation:

o Documenting validation rules, thresholds, and exception criteria;Translating business and technical requirements into test cases
o Defining test scenarios, test data, expected results; Executing manual test cases, validating results, logging defects
o Using or scripting automation (e.g., SQL scripts, Python, or test tools) for repeatable checks
o Perform Data validation, Support UAT & UVT
o Test cases tracking and update in ADO; Incident Handling
5. Data Quality, Standards & Governance
o Data quality dimensions: accuracy, completeness, consistency, timeliness, uniqueness
o Designing models that support data quality checks and constraints
o Metadata: business glossary, data catalog, data lineage
o Naming conventions, standards for keys, data types, and codes
6.

Documentation & Communication:

o Clear mapping &model documents: field-level mappings, transformation rules, validation rules
o Communicating models and mappings to business stakeholders and technical teams
o Participating in design and review workshops

Key Responsibilities

1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.

2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.

3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).

4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.

Skill Requirements

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Other Requirements

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