Data Engineer

Financial Services Company

Data Engineer

Peak Hire Solutions

Company

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Data Engineer

at Financial Services Company

Agency job

via Peak Hire Solutions

2 - 5 yrs

₹8L - ₹10.7L / yr

Pune

Skills

SQL Azure

databricks

ETL

SQL

Data modeling

PowerBI

Business Intelligence (BI)

ADF

ELT

ROLES AND RESPONSIBILITIES:

We are seeking a skilled Data Engineer who can work independently on data pipeline development, troubleshooting, and optimisation tasks. The ideal candidate will have strong SQL skills, hands-on experience with Databricks, and familiarity with cloud platforms such as AWS and Azure. You will be responsible for building and maintaining reliable data workflows, supporting analytical teams, and ensuring high-quality, secure, and accessible data across the organisation.

KEY RESPONSIBILITIES:

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
Build, optimise, and troubleshoot SQL queries, transformations, and Databricks data processes.
Work with large datasets to deliver efficient, reliable, and high-performing data solutions.
Collaborate closely with analysts, data scientists, and business teams to support data requirements.
Ensure data quality, availability, and security across systems and workflows.
Monitor pipeline performance, diagnose issues, and implement improvements.
Contribute to documentation, standards, and best practices for data engineering processes.

IDEAL CANDIDATE:

Proven experience as a Data Engineer or in a similar data-focused role (3+ years).
Strong SQL skills with experience writing and optimising complex queries.
Hands-on experience with Databricks for data engineering tasks.
Experience with cloud platforms such as AWS and Azure.
Understanding of ETL/ELT concepts, data modelling, and pipeline orchestration.
Familiarity with Power BI and data integration with BI tools.
Strong analytical and troubleshooting skills, with the ability to work independently.
Experience working end-to-end on data engineering workflows and solutions.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

ROLES AND RESPONSIBILITIES:

KEY RESPONSIBILITIES:

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
Build, optimise, and troubleshoot SQL queries, transformations, and Databricks data processes.
Work with large datasets to deliver efficient, reliable, and high-performing data solutions.
Collaborate closely with analysts, data scientists, and business teams to support data requirements.
Ensure data quality, availability, and security across systems and workflows.
Monitor pipeline performance, diagnose issues, and implement improvements.
Contribute to documentation, standards, and best practices for data engineering processes.

IDEAL CANDIDATE:

Proven experience as a Data Engineer or in a similar data-focused role (3+ years).
Strong SQL skills with experience writing and optimising complex queries.
Hands-on experience with Databricks for data engineering tasks.
Experience with cloud platforms such as AWS and Azure.
Understanding of ETL/ELT concepts, data modelling, and pipeline orchestration.
Familiarity with Power BI and data integration with BI tools.
Strong analytical and troubleshooting skills, with the ability to work independently.
Experience working end-to-end on data engineering workflows and solutions.

PERKS, BENEFITS AND WORK CULTURE:

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2 recruiters

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Presentation Skills

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