Data Engineer

TekWissen India; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

TekWissen India is seeking a Data Engineer to design Salesforce-based solutions and build scalable data pipelines. The role focuses on cloud-based analytics platforms and enterprise data solutions supporting BI and AI initiatives.

Responsibilities include building ETL/ELT pipelines, Delta Lake architecture, Snowflake data warehouses, and implementing data quality controls. On-site Hyderabad location with 4–8 years of experience is required.

Qualifications

• 4 to 8 years of experience in data engineering.
• Experience designing Salesforce-based solutions.
• Experience building data pipelines and data platforms for BI/AI initiatives.

Responsibilities

• Design Salesforce-based solutions.
• Design and develop scalable ETL/ELT pipelines.
• Build Azure Data Factory workflows.
• Develop PySpark notebooks in Databricks.
• Design Delta Lake architecture.
• Build Snowflake data warehouse solutions.
• Implement data quality and governance controls.
• Optimize Spark and SQL workloads.
• Integrate multiple enterprise data sources.
• Support analytics and AI teams.
• Implement CI/CD for data pipelines.

Skills

ETL/ELT design

Data pipeline development

Cloud analytics

Tools

Azure Data Factory

Databricks

PySpark

Spark SQL

Python

SQL

Azure DevOps

Delta Lake

Snowflake

Job description

Job Description:

About This Job

TekWissen India

Location:

Hyderabad, Telangana, India

Work Mode:

On-site

Industry:

Staffing and Recruiting

Overview:

Job Description:

TekWissen Group is a workforce management provider throughout India and many other countries in the world.

Position:

Data Engineer

Location:

Hyderabad, TS

Job Type:

Full Time

Work Type:

Onsite

Looking for a highly motivated Data Engineer to develop data pipelines, cloud-based analytics platforms, and enterprise data solutions supporting business intelligence and AI initiatives.

Responsibilities

• Design Salesforce-based solutions.
• Design and develop scalable ETL/ELT pipelines.
• Build Azure Data Factory workflows.
• Develop PySpark notebooks in Databricks.
• Design Delta Lake architecture.
• Build Snowflake data warehouse solutions.
• Implement data quality and governance controls.
• Optimize Spark and SQL workloads.
• Integrate multiple enterprise data sources.
• Support analytics and AI teams.
• Implement CI/CD for data pipelines.

Technical Skills

Azure Data FactoryDatabricksPySparkSpark SQLPythonSQLAzure DevOps

Experience

4 to 8 Years

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Requirements: