Data Engineer-Information Technology

Emcure; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Emcure is seeking a Data Engineering specialist to design, develop, and maintain end-to-end data pipelines using Databricks and Azure Data Factory. The role involves integrating data from multiple sources, ensuring data quality, and optimizing pipelines for performance and scale.

You will collaborate with business teams, data analysts, and data scientists to translate requirements into robust data solutions.

Qualifications

• Minimum bachelors degree in computer science or related field is required.
• Strong experience with SQL, Python and Spark in Databricks notebooks for data processing and transformations.
• Experience in integrating data from multiple sources and ensuring data quality.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes.
• Integrate data from various sources and ensure quality and accuracy.
• Build reusable rules for data quality and required transformations.
• Optimize and monitor pipelines for performance and scalability; debug issues.
• Act as a liaison between data analysts, data scientists, and business teams.
• Document resources and follow best practices for development.

Skills

Databricks

Azure Data Factory

SQL

Python

Spark

Data Quality

Data Warehousing

ETL

BRD

BI/DW

SSIS

Scala

Data Modelling

Education

Bachelor's degree in Computer Science

Tools

Qlik Sense

MS Power BI

SSIS

Databricks

Azure Data Factory

Job description

Responsible for designing, developing, and maintaining data pipelines and ETL processes using Databricks and Azure Data Factory.

• Good experience in using SQL, Python and Spark within Databricks notebooks for data processing and transformations.
• Integrate and orchestrate data from various sources, ensuring data quality and accuracy.
• Build reusable rules for Data Quality and required transformations.
• Optimize, monitor data pipelines for performance and scalability and debug in case of issues.
• Proficiency in Databricks, Azure Data Factory, Python, SQL is must.
• Familiarity with ETL principles, data warehousing, and big data technologies.
• Evaluate and define technical specs using BRD for BI and DW solutions.
• Build conceptual and logical models based on the functional flow of business in scalable way.
• Work with Business functions/ leadership and Application SMEs to understand the requirement and analysing the source to fulfil the requirements.
• Be compliant to data quality, governance, compliance, and other legal requirements.
• Act as key P.O.C between data analyst, data scientists, and the business/application teams.
• Must have Azure Databricks experience & Data Integrations.
• Good work experience on Data bricks, ADF, and other Azure and Databricks objects.
• Experience on creating frameworks towards building the optimized data pipelines is a must.
• Working knowledge of different self-hosted and other runtimes along with SSIS.
• Strong work experience of SQL, Scala, Python and Spark.
• Performance Tuning of Spark SQL running on DELTA LAKE storage and Strong Knowledge on Databricks and Cluster Configurations.
• Working knowledge of Data Warehousing, Modelling, Data Validation, Data Migration.
• Documentation of all project resources and follow best practices for development.
• Knowledge of front-end tools like Qlik Sense, MS PBI
• Minimum bachelors degree in computer science or related field is required.

Strong problem-solving skills, good communication abilities and go-getter attitude.