Data Engineer [Data Bricks – Specialist]

Sinergia Media Labs LLP; India; On-site; INR 900,000 - 1,300,000; Full time

Benefits offered by this job

Group Health Plan Insurance

Job summary

Simelabs is a product-driven venture-development firm working with startups and brands to create analytics-ready data platforms. We seek a senior Data Engineer to design scalable Databricks pipelines, integrate multiple data sources, and implement governance and security best practices.

You will partner with stakeholders to deliver robust data solutions. Ideal candidate has 5–7 years in data engineering, strong SQL, hands-on Databricks, Spark, PySpark, and cloud experience (AWS/Azure/GCP).

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field.
• 5–7 years of experience as a Data Engineer or in a similar role.
• Hands-on with Databricks and Spark ecosystems.
• Strong SQL skills and relational database experience.
• Experience building ETL/ELT pipelines and data models.
• Experience with cloud platforms (AWS/Azure/GCP).
• Knowledge of data warehousing concepts and dimensional modeling.
• Version control with Git; Delta Lake and Lakehouse familiarity.
• Experience with Airflow or similar orchestration tools.
• Excellent analytical, problem-solving and collaboration skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimize ETL/ELT workflows for structured and unstructured data.
• Develop and manage data ingestion processes from multiple data sources.
• Work with large-scale datasets using Apache Spark and PySpark.
• Design and maintain data models for analytics and reporting.
• Optimize data processing performance and ensure data quality.
• Collaborate with business stakeholders to understand data requirements.
• Implement data governance, security, and best practices.
• Monitor, troubleshoot, and enhance existing data pipelines.
• Document technical designs and maintain data engineering standards.

Skills

Databricks

Apache Spark

PySpark

SQL

Data governance

Analytical thinking

Communication

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Databricks

Apache Spark

PySpark

SQL

Git

Delta Lake

Airflow

AWS/Azure/GCP

Job description

WHAT WE’R UP TO

WE ARE A LEAN, TENACIOUS MACHINE POWERED BY 85 OF THE SHARPEST, MOST PASSIONATE PEOPLE WE COULD FIND.

Simelabs is a product-driven venture-development firm that works with a range of startups and big brands to create compelling, successful, award-winning application. We help people perfect and realise their visions for digital products. While others may just churn out what a client asks for, we strive to truly understand the problems our clients are aiming to solve and will stop at nothing to build solid products that we’re proud of.

Roles and Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimize ETL/ELT workflows for structured and unstructured data.
• Develop and manage data ingestion processes from multiple data sources.
• Work with large-scale datasets using Apache Spark and PySpark.
• Design and maintain data models for analytics and reporting.
• Optimize data processing performance and ensure data quality.
• Collaborate with business stakeholders to understand data requirements.
• Implement data governance, security, and best practices.
• Monitor, troubleshoot, and enhance existing data pipelines.
• Document technical designs and maintain data engineering standards.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 5–7 years of experience as a Data Engineer or in a similar role.
• Strong hands-on experience with Databricks.
• Proficiency in Apache Spark and PySpark.
• Strong SQL skills and experience with relational databases.
• Experience building ETL/ELT pipelines.
• Experience with one or more cloud platforms (Azure, AWS, or GCP).
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with version control tools such as Git.
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills.
• Experience with Delta Lake and the Lakehouse architecture.
• Familiarity with AWS Glue, or equivalent cloud data services.
• Experience with orchestration tools such as Apache Airflow.

Group Health Plan insurance Employee, Spouse and dependent