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Associate Data Engineer

S&P Global Inc.
Gurugram, IND
Full-time
Junior · 1–3 years experience
Onsite
Discovered 2 weeks ago
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Required Skills:

  • 1-3 years of experience in Big Data and Data Engineering.
  • Strong knowledge of SQL, and experience working with relational databases, as well as working familiarity with a variety of databases.
  • Hands-on experience in modern data platform components such as Spark, Python, etc.
  • Experience with setting up and maintaining Data warehouse (Google BigQuery, Redshift, Snowflake) and Data Lakes (GCS, AWS S3 etc.) for an organization
  • 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
  • Building Docker images and fetch/promote and deploy to Production. Integrated Docker container orchestration framework using Kubernetes by creating pods, config Maps, deployments using terraform.
  • Strong problem solving and communication skills.
  • Bachelor’s or an advanced degree in Computer Science or related engineering discipline.

Preferred Skills:

  • Good to have experience in one of the Cloud providers – GCP, Azure, AWS.
  • Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
  • Agile software development methodologies.
  • Working in multi-functional, multi-location teams
  • This is a hybrid role with in-office expectations determined by location and subject to change based on evolving business needs.
  • What’s In It for You
  • Competitive compensation package, including base salary and incentive opportunities where applicable.
  • Comprehensive health and wellness benefits for employees and eligible dependents.
  • Retirement savings programs, including company matching contributions where available.
  • Equal Opportunity Employer
  • Mobility Global is proud to be an Equal Opportunity Employer. We value diverse perspectives and are committed to fostering an inclusive workplace where everyone is respected, supported, and empowered to succeed. We provide reasonable accommodations throughout the hiring process and employment for qualified individuals with disabilities.
  • Recruitment Fraud Alert
  • Mobility Global will never ask candidates to pay money at any stage of the hiring process, including for applications, interviews, background checks, training, or equipment. If you receive a suspicious communication or request for payment or personal financial information, please exercise caution and report it immediately.

Qualifications

  • 1-3 years of experience in Big Data and Data Engineering.
  • Strong knowledge of SQL, and experience working with relational databases, as well as working familiarity with a variety of databases.
  • Hands-on experience in modern data platform components such as Spark, Python, etc.
  • Experience with setting up and maintaining Data warehouse (Google BigQuery, Redshift, Snowflake) and Data Lakes (GCS, AWS S3 etc.) for an organization
  • 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
  • Building Docker images and fetch/promote and deploy to Production. Integrated Docker container orchestration framework using Kubernetes by creating pods, config Maps, deployments using terraform.
  • Strong problem solving and communication skills.
  • Bachelor’s or an advanced degree in Computer Science or related engineering discipline.

Responsibilities

  • 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.
  • 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.
  • What we are looking for

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