Immediate Hiring For Data Analytics Engineer - Hyderabad

Grant Thornton; Hyderabad; Hybrid; INR 1.500.000 - 2.100.000; Vollzeit

Zusammenfassung

Grant Thornton in Hyderabad is seeking an analytics engineer to design and maintain curated datasets and semantic models enabling trusted reporting and self-service analytics. You will develop dbt transformations on Snowflake, build star/snowflake schemas, and create certified datasets in Snowflake and Power BI to support governance and enterprise insight.

Collaborate with data engineers, analysts, and stakeholders, applying data quality checks, lineage, and governance-by-design to deliver

Qualifikationen

• Bachelor’s degree in CS/IS/Analytics or related field.
• At least 5 years analytics engineering/BI experience in enterprise environments.
• Experience with ETL/ELT tools like Informatica or dbt.
• Experience with BI tools (Power BI, Tableau, Excel).
• Familiarity with cloud data platforms (Azure, AWS, GCP).
• Exposure to Agile/Scrum delivery.

Aufgaben

• Design and maintain curated analytics-ready datasets and semantic models.
• Develop modular data transformations using dbt with Snowflake.
• Build dimensional models and data marts per Medallion architecture.
• Create semantic models and certified datasets in Snowflake and Power BI.
• Translate business requirements into transformation logic and rules.
• Conduct data profiling, validation, and reconciliation.
• Perform data lineage and impact analysis across layers.
• Implement data quality checks and observability.
• Optimize Snowflake queries and transformations for performance and cost.
• Collaborate with engineers, QA, and stakeholders; mentor juniors.
• Apply governance-by-design practices.

Kenntnisse

SQL

Python

Snowflake

dbt

Power BI

Data Modeling

ETL/ELT

NLP

Machine Learning

Analytics Governance

Stakeholder communication

Performance tuning

Ausbildung

Bachelor of Science in CS/IS/Analytics

5+ years analytics engineering experience

Tools

Snowflake

Power BI

dbt

Informatica

Jobbeschreibung

Data Anlytice

Responsibilities

• Design, build, and maintain curated, analytics-ready (gold-layer) datasets and semantic models that enable trusted reporting and self-service consumption.
• Develop and maintain modular, well-documented data transformations using dbt, following established engineering standards and reusable patterns.
• Build and optimize dimensional models (star/snowflake schemas, data marts) aligned with the Medallion architecture (Bronze/Silver/Gold layer separation).
• Develop semantic models, metric definitions, and certified datasets in Snowflake and Power BI to support consistent, governed analytics consumption.
• Translate business and reporting requirements into transformation logic and business rules in partnership with data analysts and stakeholders.
• Conduct data profiling, validation, and reconciliation using Snowflake SQL to ensure the accuracy, completeness, and integrity of analytics outputs.
• Perform data lineage and impact analysis across Snowflake, upstream sources, transformation layers, and reporting layers.
• Implement data quality checks, tests, and observability for analytics pipelines and datasets.
• Optimize Snowflake queries, models, and transformations for performance, reliability, and cost efficiency.
• Collaborate with data engineers, ETL/ELT developers, and QA, and support UAT to resolve data-related gaps through iterative testing and validation.
• Apply governance-by-design practices (access, classification/metadata, certified datasets), and mentor and guide more junior team members.

Skills

• Proven experience with Machine Learning, predictive analytics, and natural language processing.
• Strong programming skills in SQL and Python for data validation, profiling, reconciliation, and analytics.
• Strong hands‑on Snowflake experience is required, including, ability to construct & optimize complex SQL queries, variant/JSON parsing, schema and stage understanding, performance analysis & troubleshooting, dynamic tables/materialized views, dbt-on-Snowflake (Streams & Tasks), and secure views/masking for certified datasets.
• Working experience in Medallion Architecture (Bronze, Silver, Gold data layers) including mapping data flows across layers.
• Strong hands‑on experience with dbt for building and maintaining modular, tested data transformations (ELT/ETL development and maintenance).
• Hands‑on experience building semantic models and reports in Power BI (metric definitions, certified datasets, and self‑service enablement).
• Experience developing curated, analytics-ready (gold-layer) datasets and reusable transformation patterns.
• Strong understanding of data lineage, metadata traceability, and impact analysis.
• Experience applying governance‑by‑design and data observability (data quality tests, lineage, and certified datasets).
• Effective communication skills with ability to work directly with business stakeholders.
• Excellent analytical and problem‑solving skills.

Education / Professional Experience/ Qualifications

• Bachelor of Science (BS) in Computer Science, Information Systems, Analytics, or related field (or equivalent work experience).
• 5+ years of analytics engineering, BI/data warehouse development, or related data experience in enterprise data environments.
• Preferred: Experience in professional services, accounting industry, or client service/consultative technology roles.
• Experience with ETL/ELT tools (Informatica, dbt).
• Experience with BI/reporting tools (Power BI, Tableau, Excel).
• Experience with data modeling methodologies (Dimensional modeling, Data Marts, Data Warehousing, Star/Snowflake schema).
• Familiarity with cloud data platforms (Azure, AWS, GCP).
• Agile/Scrum delivery exposure.