Database Architect

Position : SQL Database Developer

Experience : 10+ Years

Domain : Mutual Fund / Capital Markets

Location : Noida

Work Mode : Hybrid

Role Overview :

We are looking for a Senior SQL Developer with 10+ years of experience in SQL Server and T-SQL development, preferably with experience in the Mutual Fund / Capital Markets / Financial Services domain.

Mandatory Skills :

• SQL Server & T-SQL
• Stored Procedures, Functions, Triggers, Views & SQL Jobs
• Complex SQL Queries & Data Manipulation
• Query Performance Tuning & Optimization
• Indexing, Execution Plans & Partitioning
• Data Migration, Porting, Transformation & Validation
• Database Troubleshooting
• SQL Server Performance Monitoring
• Version Control / Git
• Database Security & Data Integrity

Domain Knowledge :

• Mutual Fund / Capital Markets experience preferred.
• Understanding of financial transactions, reporting, reconciliation, and business processes.

Key Responsibilities :

• Develop and optimize T-SQL queries, stored procedures, views, functions, and triggers.
• Perform query tuning, indexing, execution plan analysis, and performance optimization.
• Handle data migration, transformation, porting, validation, and reconciliation.
• Troubleshoot database and production/UAT issues.
• Ensure data accuracy, integrity, consistency, and security.
• Work with developers, BAs, QA teams, and business stakeholders.
• Independently own database development and optimization activities.
• Education: Bachelor's degree in Computer Science, IT, Engineering, or related field.

Job Summary

The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. (1.) Key Responsibilities

1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.

2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.

3. Design and develop etl processes, data models, and data integration solutions.

4. Provide technical guidance and mentorship to the team members.

5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.

6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.

7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skill Requirements

1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.

2. Strong experience with sql and oracle pl/sql for data querying and manipulation.

3. Advanced programming skills in python for scripting and data processing tasks.

4. Knowledge of data modeling, data warehousing concepts, and database design principles.

5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.

6. Strong analytical and problem-solving skills with attention to detail.

7. Experience in data visualization tools and techniques is a plus.

Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.

Skill (Primary)

Data Fabric-Azure-Azure Data Factory (ADF)

We are looking for a dynamic Data Engineer to join our team of technology enthusiasts. You will leverage data to drive strategic decision-making and pioneering solutions, working with complex datasets, collaborating closely with stakeholders, and transforming data into actionable insights to drive innovation.

Qualifications and Skills:

• Minimum 5 years of experience as a Data Engineer
• Hands-on experience with Azure cloud-based data solutions
• Expertise in database design and management, including SQL databases such as SQL Server
• Proficient in ETL (Extract, Transform, Load) design for data integration and processing
• Strong knowledge of data modeling principles and techniques
• Ability to analyze and translate data into actionable insights, reports, and visualizations
• Proficiency in Power BI for reporting and data visualization

Desirable Skills:

• Experience with Power BI Report Builder / Reporting Services
• Knowledge of statistical analysis or Data Science
• Experience within the UK Insurance industry is a plus
• Python or R coding skills

Responsibilities:

• Implement efficient data exchange between internal and external systems to increase efficiency and reduce re-keying and translation errors
• Support the Broking business by developing high-quality information resources, ensuring data availability and accessibility for decision-making
• Engineer data inputs and outputs from core applications and semi-structured remote service data through data syncs between data lake, ODS (SQL database), and leveraging Fabric and ADF
• Perform data engineering tasks including ingestion, cleansing, and collation from a wide range of internal and external sources
• Implement different methods of streaming data and create reconciliations for datasets
• Build analytical models to support reporting and analytics
• Collaborate with an agile delivery team to work on the backlog of specified work