Senior Data Engineer

Luna Bearings; Hyderabad; On-site; INR 450,000 - 650,000; Full time

Job summary

Luna Bearings is seeking a Senior Data Engineer in India to design and operate robust data pipelines and data products. You will optimize data infrastructure, enable accurate ETL, and collaborate with business units to deploy data-driven solutions.

The role requires hands-on experience with dbt, Snowflake-like warehouses, Airflow, and data ingestion tools. You will work across Finance, HR, and Customer Success domains to drive data maturity.

Qualifications

• Strong SQL and data warehousing experience.
• Experience with cloud data warehouses such as Databricks or Spark.
• Experience with data ingestion tools (Fivetran, Stitch, Matillion).
• Hands-on with cloud platforms (AWS, Azure, GCP).
• Experience building ML models in production is a plus.
• Proficient in Python/Java/C++/Scala and scripting (Bash).
• Experience with Airflow and ETL/ELT workflows.
• Ability to design data models and ETL pipelines for analytics teams.

Responsibilities

• Design, build and maintain batch or real-time data pipelines in production.
• Maintain and optimize data infrastructure for accurate ETL from diverse sources.
• Develop ETL processes to extract and manipulate data from multiple sources.
• Automate data workflows such as ingestion, aggregation, and ETL processing.
• Prepare raw data in Data Warehouses into consumable datasets for stakeholders.
• Collaborate with data scientists and business leads to deploy ML models.
• Build, deploy and manage data products on cloud platforms (AWS/Azure/GCP).
• Ensure data accuracy, privacy, security and compliance through quality controls.
• Monitor data systems performance and optimize accordingly.
• Apply data governance and quality controls across ownership areas.

Skills

Advanced SQL

Python

Java

C++

Scala

Airflow

ETL pipelines

Data modeling

Data warehousing

NoSQL

Tools

Databricks

Apache Spark

Fivetran

Stitch

Matillion

Airflow

AWS

Azure

GCP

Job description

We are seeking a talented Senior Data Engineer in India. The right candidate has strong communication skills, passion for solving business problems with data and has domain knowledge in Finance, Human Resources, and Customer Success. You have empathy, curiosity and desire to improve and constantly learn. Should be hands-on with dbt, Snowflake, Airflow, Fivetran, and has a proven track record of driving the best practices and processes, building data models and ETL loads.

In this role you will...

• Design, build and maintain batch or real-time data pipelines in production.
• Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
• Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
• Automate data workflows such as data ingestion, aggregation, and ETL processing.
• Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
• Partner with data scientists and functional leaders in sales, marketing, and product to deploy machine learning models in production.
• Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (e.g. AWS, Azure, GCP).
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Monitor data systems performance and implement optimization strategies.
• Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.

You have what it takes if you have...

• Advanced SQL skills and experience with relational databases and database design.
• Experience working with cloud Data Warehouse solutions - Databricks, Apache Spark
• Experience working with data ingestion tools such as Fivetran, stitch, or Matillion.
• Working knowledge of Cloud-based solutions (e.g. AWS, Azure, GCP).
• Experience building and deploying machine learning models in production.
• Strong proficiency in object-oriented languages: Python, Java, C++, Scala.
• Strong proficiency in scripting languages like Bash.
• Strong proficiency in data pipeline and workflow management tools (e.g., Airflow).
• Strong project management and organizational skills.
• Excellent problem-solving, communication, and organizational skills.
• Proven ability to work independently and with a team.

Extra dose of awesome if you have...

• Good understanding of NoSQL databases like CrateDB, Redis, Cassandra, MongoDB, or Neo4j.
• Experience with working on large data sets and distributed computing (e.g. Hive/Hadoop/Spark/Presto/MapReduce).