Data Engineer

Mobility Global; Gurugram District; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Mobility Global seeks an experienced Data Engineer to join the data platform and product insights team. You will build end-to-end data ingestion, processing pipelines and real-time monitoring in a cloud-native environment to derive actionable insights on product efficacy, marketing, and customer behavior.

The role requires 3–6 years in Big Data, strong SQL and data warehousing skills, experience with Hadoop/Spark/Hive, Python/Scala, and familiarity with cloud data services (BigQuery, Redshift,

Qualifications

• Bachelors or Masters in Computer Science, Applied Mathematics or a related engineering discipline required.
• 3 to 6 years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL and data warehousing concepts.
• Experience with modern data platforms (Hadoop, Hive, Spark, Python, Scala).
• Experience with data warehouses (BigQuery, Redshift, Snowflake) and data lakes (GCS, AWS S3).
• Proficient with one cloud provider (Azure, GCP, AWS).
• Experience with relational SQL and NoSQL databases (Postgres, Cassandra, MongoDB).
• Experience with data pipelines and workflow tools (Airflow, Dataflow, Dataproc).
• Experience with Git / Azure DevOps.
• Strong problem solving and communication skills.

Responsibilities

• Build & support data ingestion and processing pipelines for batch and streaming data.
• Create real-time monitoring dashboards and alerting systems.
• Collaborate with product to assemble large data sets and maintain data dictionaries.
• Warehouse data to data marts and define metrics and KPIs for product efficacy and marketing.

Skills

Big Data

Data Engineering

SQL

Data Warehousing

Python

Scala

Spark

Hadoop

Hive

GCP/AWS/AZURE

PostgreSQL

MongoDB/Cassandra

Airflow

Education

Bachelors or Masters in CS/Applied Math or related engineering

Tools

Hadoop

Hive

Spark

Python

Scala

BigQuery

Redshift

Snowflake

GCS

AWS S3

Azure/GCP/AWS

PostgreSQL

Cassandra

MongoDB

Airflow

Git / Azure DevOps

Job description

The Team

At Mobility Global, AutomotiveMastermind team provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The company’s cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention.

The Team

At Mobility Global, AutomotiveMastermind team provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The company’s cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention.

The Role

Our proprietary software-as-a-service helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale. Its micro-marketing engine then delivers the right message at the right time to those customers, ensuring higher conversion rates and a stronger ROI.

Responsibilities

You will be part of our data platform & product insights data engineering team. As part of this agile team, you will work in our cloud native environment to

• Build & support data ingestion and processing pipelines. This will entail extract, load and transform of ‘big data’ from a wide variety of sources, both batch & streaming, using latest data frameworks and technologies
• Build real-time monitoring dashboards and alerting systems.
• Partner with product to assemble large, complex data sets that meet functional / non-functional business requirements, ensure build out of Data Dictionaries/data catalog and detailed documentation and knowledge around these data assets, metrics and KPIs.
• Warehouse this data, build data marts, data aggregations, metrics, KPIs, business logic that leads to actionable insights into our product efficacy, marking platform, customer behaviour, retention etc.

Required Skills

• Bachelors or Master's degree in Computer Science, Applied Mathematics or a related engineering discipline required.
• 3 to 6 years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL, data warehousing concepts, DataMart designing.
• Having experience in in modern data platform components such as the Hadoop, Hive, Spark, Python, Scala, etc.
• Experience with setting up and maintaining Data warehouse (Google BigQuery, Redshift, Snowflake) and Data Lakes (GCS, AWS S3 etc.) for an organization
• Having strong experience in one of the Cloud providers – Azure, GCP, AWS.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra / MongoDB.
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, Dataproc etc.
• Experience with Distributed Versioning Control environments such as GIT, Azure DevOps
• Strong problem solving and communication skills.

Preferred Skills

• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams

Shift Timings: 12PM-9PM IST

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.