DSP - Data Engineer

Octillion Media LLC; Jaipur; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Octillion media is seeking an Advertising Technology focused software engineer to design and manage data pipelines, enabling analytics and reporting across ad tech platforms.

You will build end-to-end data processing systems, integrate with external data sources, and collaborate with product and engineering teams to scale data solutions globally. Strong SQL, Python, Spark experience is required, with familiarity in ETL and data warehouses.

Qualifications

• 3+ years of experience in data engineering.
• Proficient in SQL, Python, and Bash scripting.
• Solid understanding of database technologies.
• Experience with ETL, data warehouses and batch/semi-online building blocks.
• Experience with large-scale data using Spark or similar technologies.
• Familiarity with RTB and ad tech stack is a plus.

Responsibilities

• Design, implement, and manage end-to-end data pipelines (ETL, data streaming, and warehousing).
• Integrate with third-party APIs for accessing external data.
• Create and maintain data warehouses for reporting or analysis.
• Collaborate with engineering and product teams on data initiatives.
• Evaluate tools/solutions and build custom ones for new use cases.

Skills

SQL

Python

Spark

ETL

Data pipelines

Tools

Athena

BigQuery

MapReduce

Spark

RTB

Google IMA SDK

VAST

VPAID

Header bidding

Job description

Octillion media helps buyers navigate OTT and connected tv through advanced technology that offers complete transparency, fraud-free impressions and frequency management and offers an easy to use platform powering premium digital planning, buying, optimization and attribution solutions. We are now looking for an advertising technology focused software engineer, who...

Job Description

Responsibilities

Design, implement, and manage end-to-end data pipelines (ETL, data streaming, and warehousing) to ensure data is easily accessible for analysis.

Integrate with third-party APIs for accessing external data

Create and maintain data warehouses for reporting or analysis

Consult and partner with engineering and product teams to execute data-related product initiatives

Evaluate existing tools/solutions for every new use case and build one if necessary

Willingness to take end to end ownership and being accountable for the success of the product.

Experience in architecting & building real-time data pipelines.

Break down business requirements into technical solutions at global scale

Qualifications

At least have 3 years of experience in Data Engineering role

Ability to write clean and structured in SQL, bash scripts, and Python (or similar languages)

Solid understanding of database technologies

Experience in building automated, scalable, and robust data processing systems

Experience with building ETL, data warehouse systems (e.g. Athena/Bigquery) and batch/semi-online building blocks (e.g. MapReduce, Spark)

Experience in working with large scale quantitative data using Spark or similar technologies

Ability to quickly resolve performance and systems incidents

Big Data/ML experience is a plus

Experience with RTB, Google IMA SDK, VAST, VPAID, Header bidding is a plus

Past experience in product companies would be a big plus.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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