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Engaged Employer

Zensar Technologies

Compare

3.7

based on 2.4k Reviews

637 Zensar Technologies Jobs

Data Engineering Lead

Zensar Technologies Limited

3.7

based on 2.4k Reviews

9-10 years

Pune

Data Engineering Lead

Zensar Technologies

posted 1d ago

Job Role Insights

Flexible timing

Key skills for the job

Digital Marketing Data Engineering Python AWS SQL ETL Testing

+ 14 more

Job Description

Key Responsibilities:

Design & Develop Data Pipelines :Build and optimize scalable, reliable, and automated ETL/ELT pipelines using AWS services (e.g., AWS Glue, AWS Lambda, Redshift, S3) and Databricks .

Cloud Data Architecture :Design, implement, and support in maintaining data infrastructure in AWS , ensuring high availability, security, and scalability. Work with lake houses, data lakes, data warehouses, and distributed computing.

Platform Architecture & Design:Lead the design and architecture of the digital platform, ensuring the platform is scalable, reliable, and secure for handling large volumes of data from multiple sources.

Data Modelling :Build efficient data models to support required analytics/reporting.

Optimize Data Workflows :Monitor, troubleshoot, and optimize data pipelines for performance and cost-efficiency in cloud environments. Utilize Databricks for processing large-scale data sets and streamlining data workflows.

Data Integration:Integrate data from disparate systems (e.g., databases, APIs, third-party platforms) into the platform, ensuring seamless data flow and high data quality.

Data Quality & Monitoring :Ensure high-quality data by implementing data validation and monitoring systems. Troubleshoot data issues and create solutions to ensure data reliability.

Automation & CI/CD :Implement CI/CD practices for data pipeline deployment and maintain automation for monitoring and scaling data infrastructure in AWS and Databricks .

Skills & Qualifications: Required:

Bachelor’s / Master’s degree in computer science , Engineering or a related field.

9+ years of experience in Data Engineering space or in a similar role.

Extensive hands-on experience with AWS services (S3, Redshift, Glue, Lambda, Kinesis, etc.) for building scalable and reliable data solutions.

Advanced expertise in Databricks , including the creation and optimization of data pipelines, notebooks, and integration with other AWS services.

Proficiency in SQL and experience with designing and optimizing complex queries for large datasets.

Strong programming skills in Python/PySpark , with the ability to develop custom data processing logic and automate tasks.

Experience with Data Warehousing and knowledge of concepts related to OLAP and OLTP systems.

Expertise in building and managing ETL/ELT pipelines , automating data workflows, and performing data validation.

Familiarity with CI/CD concepts, version control (e.g., Git), and deployment automation.

Having worked under Agile project environment

Preferred:

Experience with Apache Spark and distributed data processing in Databricks .

Familiarity with streaming data solutions (e.g., AWS Kinesis , Apache Kafka ).

Knowledge of Data Governance , data security , and privacy best practices.

Soft Skills:

Excellent communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders and business leaders.

Strong leadership skills with the ability to motivate and guide a diverse team of engineers.

Ability to work in a fast-paced, dynamic environment, and manage multiple priorities effectively.

Problem-solving mindset with a strong focus on building efficient, scalable solutions.

Employment Type: Full Time, Permanent

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What people at Zensar Technologies are saying

What Zensar Technologies employees are saying about work life

based on 2.4k employees

76%

90%

74%

89%

Flexible timing

Monday to Friday

No travel

Day Shift

View more insights

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Zensar Technologies Pune Office Location

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Pune (1)

Pune Office

Headquarter

Plot #4, MIDC, Off Nagar Road, Zensar Knowledge Park, Kharadi, Pune, Maharashtra Pune
411014