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Security and Intelligence Services (India)

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4.2

based on 1.3k Reviews

Video summary

313 Security and Intelligence Services (India) Jobs

Data Engineer

S&P Global Inc.

4.2

based on 1.3k Reviews

3-8 years

Gurgaon / Gurugram

1 vacancy

Data Engineer

Security and Intelligence Services (India)

posted 11hr ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Supply Chain Management SQL SAP Business Intelligence CCTV Monitoring PDF

+ 4 more

Job Description

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 in cloud. This will entail extraction, load and transformation of big data from a wide variety of sources, both batch streaming, using latest data frameworks and technologies
Partner with product team to assemble large, complex data sets that meet functional and non-functional business requirements, ensure build out of Data Dictionaries/Data Catalogue 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, marketing platform, customer behaviour, retention etc.
Build real-time monitoring dashboards and alerting systems.
Coach and mentor other team members.

Who you are

3+ years of experience in Big Data and Data Engineering.
Strong knowledge of advanced SQL, data warehousing concepts and DataMart designing.
Have strong programming skills in SQL, Python/ PySpark etc.
Experience in design and development of data pipeline, ETL/ELT process on-premises/cloud.
Experience in one of the Cloud providers - GCP, Azure, AWS.
Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.
Experience workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer etc.
Experience with Distributed Versioning Control environments such as GIT, Azure DevOps
Building Docker images and fetch/promote and deploy to Production. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, deployments using terraform.
Should be able to convert business queries into technical documentation.
Strong problem solving and communication skills.
Bachelors or an advanced degree in Computer Science or related engineering discipline.

Good to have some exposure to

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

Employment Type: Full Time, Permanent

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