IHS Markit

Data Engineer- SQL

Job description

Segment :S&P Global Engineering Solutions


Role: Data Engineer (SQL)


The Team: Our development team architects and designs high-availability, scalable, and fault-tolerant systems that are decoupled and easy to maintain. The developers on our teams subscribe to a DevOps model where time-to-market functions as a vital measure of our performance, productivity, and success. We are committed to stay ahead of the curve and we are always looking at new technologies that can enhance our product offerings.


The Impact: We are looking for a savvy Data Engineer to join our growing team. The candidate will be responsible for expanding and optimizing data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.


What’s in it for you: The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.The Data Engineer will support our software developers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture pipeline to support our next generation of products and data initiatives.


Responsibilities


  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/Azure ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics assist in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.


What We’re Looking For


  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases including NoSQL.
  • Strong expertise on relational SQL, PL/SQL stored procedures and packages using Oracle, Postgres, etc.
  • Experience with NoSQL databases such as Cassandra is desired.
  • Experience with big data tools: Spark, Hadoop, etc.
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
  • Experience with ETL Management tools, Jenkins, Data automation tools and Linux shell scripting.
  • Experience with object-oriented/object function scripting languages: Python, Scala etc.
  • Experience with AWS and Azure cloud services like Databricks.
  • Experience with stream-processing systems: Like Kafka, Spark-Streaming, etc. will be an added advantage.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong verbal and written communication skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.


Return to Work


Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative ,we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.


Grade/Level : 7


The Location: Bangalore


About Company Statement


S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.


S&P Global Engineering Solutions solves for tomorrow’s challenges today by transforming workflows and end-user experiences with data, insights and technology.


Equal Opportunity Employer


S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.


If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.


US Candidates Only


The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.

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