3 Days Left Data Analyst

Job Title: Senior Analyst – Data Engineering & Analytics
• Must have skills: SQL Server/Oracle/Postgres DB, ETL, Reporting & Analytics tools
• Experience : 4–5 Years
• Location: Chennai, Tamil Nadu, India
• Work type : Hybrid (4 days on-site per week)
• Employment Type: Full-time, Permanent Job description The candidate for the SQL Engineer/data analyst role, to have 4-5 years of experience, with knowledge on turning raw global enterprise data into reliable assets and compelling insights. To work collaboratively with reporting and analytics software engineers, and business stakeholders worldwide to deliver secure, scalable solutions on both on-prem and Google Cloud Platform (GCP). Key Responsibilities 1. Backend Data Engineering
• Design, code, and optimize complex SQL queries, views, and stored procedures on Microsoft SQL Server and/or Oracle.
• Build dimensional models, materialized views, cursors, and data marts that power analytical and self-service use cases.
• Perform index/partition tuning and execution-plan analysis to meet stringent performance SLAs.
• Data modeling, dictionary, schemas, and data mart creation experience
• Source data (structured¿ unstructured) from various touchpoints, format and organize them into an analyzable format. 2. Exposure to ETL tools like IICS, data stage etc., in ingesting /transforming data from sources to staging, marts and lakes. Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals 3. Cloud Data Integration (GCP-centric)
• Develop ingestion and transformation pipelines using Cloud SQL (PostgreSQL), AlloyDB, BigQuery, Pub/Sub, and Cloud Storage.
• Lead or support database migrations from on-prem to GCP, ensuring data quality, lineage, and security standards are met. 4. Reporting & Visualization
• Deliver interactive dashboards and paginated reports using Power BI, SAP BusinessObjects, or SSRS.
• Champion data-visualization best practices, storytelling techniques, and governance standards.
• Exposure to HR systems ERPs like HCM, extracts, BIP reporting skills 5. Agile & DevOps
• Actively participate in Scrum ceremonies via Jira or Rally (user-story creation, sprint planning, retros).
• Contribute to CI/CD pipelines (Git, DevOps, Cloud Build/Run, Tekton) for automated validation and deployment of SQL objects and BI artefacts.
• Embed security-by-design principles—RBAC, data masking, encryption —in every deliverable. 6. Problem-Solving & Mentorship
• Translate ambiguous business questions into concise technical requirements and data solutions.
• Troubleshoot data anomalies and propose preventive or corrective actions.
• Provide guidance and code reviews for junior team members. Must-Have Skills & Experience
• 4–5 years of hands-on database development or data-engineering experience.
• Advanced SQL expertise (window functions, CTEs, dynamic SQL, performance tuning) in SQL Server or Oracle.
• Practical exposure to GCP data services—minimum one project using Cloud SQL (PostgreSQL) or AlloyDB.
• Proficiency in at least one enterprise reporting tool: Power BI, SAP BO, or SSRS.
• Working knowledge of Agile delivery and ALM tools (Jira, Rally, Azure Boards).
• Familiarity with DevOps fundamentals: version control, CI/CD, IaC & security controls.
• Strong analytical thinking, debugging, and communication skills (verbal & written). Nice-to-Have
• Exposure to additional visualization tools (Qlik Sense, Tableau, Looker).
• Experience with CICD orchestration and deployment tools
• Docker/Kubernetes know-how for data-service deployments.
• Industry certification: GCP Data Engineer, Microsoft SQL Server, or equivalent BI credential. Education
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline (or equivalent work experience).

Skills Required:

MSSQL, Cloud SQL, Power BI, Data Modeling, Agile Software Development

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