Data Engineer

LetzBizz; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

LetzBizz in Chennai seeks an experienced Data Engineer to design and maintain scalable data pipelines across big data tools and AWS services. You will assemble large datasets, optimize data delivery, and collaborate with cross-functional teams to support data infrastructure and analytics.

The role requires 3+ years of experience, a strong background in SQL/NoSQL, and hands-on work with Spark, Hadoop, Airflow, and cloud data services. Full-time, on-site position in Chennai.

Qualifications

• 3+ years of Data Engineer experience.
• Graduate degree in CS/Stats/Info Systems or related field.
• Experience with big data tools and cloud services.
• Strong SQL and NoSQL knowledge.
• Proven ability to design scalable data pipelines.

Responsibilities

• Create and maintain data pipeline architecture for large datasets.
• Automate data delivery and optimize infrastructure for scalability.
• Build data infrastructure for ETL and analytics using SQL and AWS tech.
• Develop analytics tools to derive actionable business insights.
• Collaborate with Exec, Product, Data and Design teams on data needs.
• Ensure data security across regions and data centers.

Skills

3+ years experience

Graduate degree in CS/Statistics/IS

Strong communication

Cross-functional collaboration

Education

Bachelor or higher in CS/Stats/Info Systems

Tools

Hadoop

Spark

Kafka

MongoDB

PostgreSQL

Cassandra

Redshift

Snowflake

Azkaban

Luigi

Airflow

EC2

EMR

Glue

RDS

Storm

Spark-Streaming

Python

Java

Job description

Data Engineer – Chennai

Location: Chennai – WFO

Experience: 3+ Years

Notice Period: Immediate joiners preferred (or less than 20 days)

Work Mode: Full-Time

Salary: Best in the industry

About The Role

We are seeking highly skilled and experienced Senior Data Engineers with a deep understanding of data architecture, Big Data technologies, and large-scale data processing. The ideal candidate must have a strong technical background, extensive hands‑on experience, and excellent communication skills to collaborate with cross‑functional teams.

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including MongoDB, Postgres and Cassandra, AWS Redshift, Snowflake
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, ETL, Glue, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, etc.
• Knowledge of data pipelines and workflow management tools like Airflow

Responsibilities For Data Engineer

• Create and maintain the optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re‑designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders, including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications For Data Engineer

• We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis of internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured data sets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including MongoDB, Postgres and Cassandra, AWS Redshift, Snowflake
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, ETL, Glue, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object-function scripting languages: Python, Java, etc.
• Knowledge of data pipelines and workflow management tools like Airflow

Apply here: [e-mail]

Referrals are welcome.