Data Engineer

at Bits In Glass

Data Engineer

Bits In Glass

Company

Home

Data Engineer

at Bits In Glass

Posted by Nikita Sinha

3 - 5 yrs

Upto ₹25L / yr (Varies

)

Pune, Mohali, Hyderabad

Skills

databricks

SQL

Python

As a Data Engineer, you will be an integral part of our team, working on data pipelines, data warehousing, and data integration for various analytics and AI use cases. You will collaborate closely with Delivery Managers, ML Engineers and other stakeholders to ensure seamless data flow and accessibility. Your expertise will be crucial in enabling data-driven decision-making for our clients. To thrive in this role, you need to be a quick learner, get excited about innovation and be on the constant lookout to master new technologies as they come up in the Data, AI & Cloud teams.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes to support downstream analytics and AI applications.
Collaborate with ML Engineers to integrate data solutions into machine learning models and workflows.
Work closely with clients to understand their data requirements and deliver tailored data solutions.
Ensure data quality, integrity, and security across all projects.
Optimize and manage data storage solutions in cloud environments (AWS, Azure, GCP).
Utilize Databricks for data processing and analytics tasks, leveraging its capabilities to enhance data workflows.
Monitor the performance of data pipelines, identify bottlenecks or failures, and implement improvements to enhance efficiency and reliability.
Implement best practices for data engineering, including documentation, testing, and version control.
Troubleshoot and resolve data-related issues in a timely manner.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
3 to 5 years of experience as a Data Engineer or in a similar role.
Strong proficiency in SQL, Python, and other relevant programming languages.
Hands-on experience with Databricks and its ecosystem.
Familiarity with major cloud environments (AWS, Azure, GCP) and their data services.
Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.
Comfortable working with a variety of SQL, NoSQL and graph databases like PostgreSQL and MongoDB;
Knowledge of data integration tools.
Understanding of data modelling, data architecture, and database design.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.

Highly Desirable Skills

Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming).
Knowledge of data visualisation tools (e.g., Tableau, Power BI).
Familiarity with machine learning concepts and frameworks.
Experience working in a client-facing role.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes to support downstream analytics and AI applications.
Collaborate with ML Engineers to integrate data solutions into machine learning models and workflows.
Work closely with clients to understand their data requirements and deliver tailored data solutions.
Ensure data quality, integrity, and security across all projects.
Optimize and manage data storage solutions in cloud environments (AWS, Azure, GCP).
Utilize Databricks for data processing and analytics tasks, leveraging its capabilities to enhance data workflows.
Monitor the performance of data pipelines, identify bottlenecks or failures, and implement improvements to enhance efficiency and reliability.
Implement best practices for data engineering, including documentation, testing, and version control.
Troubleshoot and resolve data-related issues in a timely manner.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
3 to 5 years of experience as a Data Engineer or in a similar role.
Strong proficiency in SQL, Python, and other relevant programming languages.
Hands-on experience with Databricks and its ecosystem.
Familiarity with major cloud environments (AWS, Azure, GCP) and their data services.
Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.
Comfortable working with a variety of SQL, NoSQL and graph databases like PostgreSQL and MongoDB;
Knowledge of data integration tools.
Understanding of data modelling, data architecture, and database design.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.

Highly Desirable Skills

Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming).
Knowledge of data visualisation tools (e.g., Tableau, Power BI).
Familiarity with machine learning concepts and frameworks.
Experience working in a client-facing role.

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About Bits In Glass

Founded :

2002

Type :

Products & Services

Size :

100-1000

Stage :

Profitable

About

Bits In Glass (BIG) is an award-winning software consulting firm that helps organizations improve operations and drive better customer experiences. They specialize in business process automation consulting, helping clients unlock the potential of their people, processes, and data.

Java

Angular (2+)

React.js

Candid answers by the company

What does the company do?

What is the location preference of jobs?

What makes Bits In Glass different from other consulting firms?

Bits In Glass (BIG) is an award-winning software consulting firm established in 2002 that specializes in business process automation. The company helps organizations improve their operations and customer experiences by implementing and managing automation solutions using industry-leading platforms like Appian, Pega, MuleSoft, and Blue Prism. Their primary focus is on helping clients across financial services, insurance, logistics, real estate, and healthcare sectors to modernize their operations by unlocking the potential of their people, processes, and data through technological solutions. As a global consulting firm with 500+ employees, they work with market leaders to drive digital transformation and provide innovative solutions for complex business challenges.

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