Data Engineer

Unison Group; Hyderabad; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Unison Group is looking for a skilled Data Engineer located in Hyderabad, India. The ideal candidate will have strong expertise in Snowflake, ETL/ELT development, and cloud-based data warehousing. Responsibilities include designing and maintaining scalable data pipelines and integrating data from various sources.

Candidates should possess a Bachelor's degree in Computer Science or related field and have hands-on experience with ETL tools and SQL. Strong analytical skills and experience with cloud platforms like AWS or Azure are preferred.

Qualifications

• 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.
• Proficiency in Python or Shell scripting for automation and data processing.
• Experience with cloud platforms such as AWS, Azure, or GCP.

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.
• Integrate data from multiple sources including databases, APIs, flat files, and cloud applications.
• Collaborate with business analysts, architects, and stakeholders to gather and translate requirements into technical solutions.
• Ensure adherence to data governance, security, and compliance standards.

Skills

Snowflake Data Warehouse

ETL/ELT tools (Informatica, Talend, Matillion, ADF, SSIS, Airflow)

SQL development and performance tuning

Python or Shell scripting

Cloud platforms (AWS, Azure, GCP)

Data governance and security best practices

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

dbt

Databricks

Kafka

PySpark

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.
• Experience with CI/CD pipelines and version control tools like Git is preferred.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Snowflake Certification (SnowPro Core/Advanced) is a plus.
• Experience with dbt, Snowpark, or Spark is preferred.
• Strong analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Databricks, Kafka, or PySpark.
• Knowledge of Agile/Scrum methodologies.
• Exposure to DevOps and Infrastructure‑as‑Code concepts.