Unison Group

Banking

DataEngineer

₹15–25L ~AI est. Hyderabad, Telangana, India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer at Unison Group. Skills: Snowflake, ETL/ELT, Data warehousing, Data pipelines. Design ETL/ELT pipelines. Develop ETL/ELT pipelines”

Industry & Context.

Banking
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

Snowflake Data Warehouse experience, ETL/ELT tools experience, SQL development skills, Data warehousing concepts knowledge, Dimensional modeling knowledge, Schema design knowledge, Python scripting proficiency, Shell scripting proficiency, Cloud platforms experience, Data ingestion frameworks knowledge, CDC knowledge, Batch processing knowledge, Real-time processing knowledge, Data quality understanding, Data governance understanding, Security best practices understanding

Nice to Have

CI/CD pipelines experience, Git experience, Snowflake Certification, dbt experience, Snowpark experience, Spark experience, Databricks experience, Kafka experience, PySpark experience, Agile methodologies knowledge, Scrum methodologies knowledge, DevOps exposure, Infrastructure-as-Code concepts exposure

What You'll Do.

Design ETL/ELT pipelines

Develop ETL/ELT pipelines

Maintain ETL/ELT pipelines

Load data into Snowflake

Build Snowflake data warehouses

Optimize Snowflake data warehouses

Build Snowflake schemas

Optimize Snowflake schemas

Build Snowflake tables

Optimize Snowflake tables

Build Snowflake views

Optimize Snowflake views

Build Snowflake stored procedures

Optimize Snowflake stored procedures

Support reporting requirements

Support analytics requirements

Support business intelligence requirements

Integrate data from databases

Integrate data from APIs

Integrate data from flat files

Integrate data from cloud applications

Optimize ETL workflows

Optimize Snowflake performance

Implement data quality checks

Implement validation frameworks

Implement monitoring processes

Collaborate with business analysts

Collaborate with architects

Collaborate with stakeholders

Translate requirements into technical solutions

Troubleshoot production issues

Provide support for data pipelines

Provide support for ETL processes

Ensure adherence to data governance standards

Ensure adherence to security standards

Ensure adherence to compliance standards

Create technical documentation

Maintain technical documentation

Create data dictionaries

Maintain data dictionaries

Create process workflows

Maintain process workflows

How You'll Work.

Team & Collaboration

Collaborate with business analysts; Collaborate with architects; Collaborate with stakeholders

Full Job Description

### Job Summary We are looking for a skilled Data Engineer with strong expertise in Snowflake, ETL/ELT development, and cloud-based data warehousing solutions. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data models, and data integration solutions to support business analytics and reporting requirements. ### Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and loading into Snowflake. * Build and optimize Snowflake data warehouses, schemas, tables, views, and stored procedures. * Develop and maintain data models supporting reporting, analytics, and business intelligence requirements. * Integrate data from multiple sources including databases, APIs, flat files, and cloud applications. * Optimize SQL queries, ETL workflows, and Snowflake performance for cost and efficiency. * Implement data quality checks, validation frameworks, and monitoring processes. * Collaborate with business analysts, architects, and stakeholders to gather and translate requirements into technical solutions. * Troubleshoot production issues and provide support for data pipelines and ETL processes. * Ensure adherence to data governance, security, and compliance standards. * Create and maintain technical documentation, data dictionaries, and process workflows. ### Required Skills * Strong experience with **Snowflake Data Warehouse**. * Hands-on experience with ETL/ELT tools such as **Informatica, Talend, Matillion, ADF, SSIS, or Airflow**. * Strong SQL development and performance tuning skills. * Experience in data warehousing concepts, dimensional modeling, and schema design. * Proficiency in Python or Shell scripting for automation and data processing. * Experience with cloud platforms such as AWS, Azure, or GCP. * Knowledge of data ingestion frameworks, CDC, and batch/real-time processing. * Understanding of data quality, data governance, and security best practices

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