Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Working as an individual contributor while leading the data team
Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility, and foster data-driven decision-making across the organisation.
Lead and drive the team to deliver solutions on time and quality that committed.
Write unit / integration tests, contributes to engineering wiki, and documents work.
Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
Define company data assets (data models), spark, spark SQL, and hive SQL jobs to populate data models.
Work closely with all business units and engineering teams to develop a strategy for long term data engineering platform architecture
Design of data-oriented solutions (end to end) using design patterns and best market practices.
Define and implement governance, access and security policies
Ensure optimal use of resources both in cost and performance
Ensure that non-functional requirements are taken care
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
What You Know
A minimum of 6 years of ETL and Data Engineering experience.
Experience in solutions architect or senior data engineer roles, in the design of data-intensive solutions (streaming, batch, migrations)
Experience in modern data ingestion processes (datalake, datawarehouse, lakehouse)
Experience in data governance models
Experience with relational SQL and NoSQL databases.
Experience with Azure cloud Data services
More than 8 years of experience in a Data Engineering & ETL Tools (like Teradata, Ab Initio) and Azure
Data Engineer with Azure functions and Azure Data Factory, Databricks and PySpark
Experience with object-oriented / object function scripting languages : Python, Scala, etc.
Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
Education
A bachelor's degree in information technology, software development management, software engineering, computer science, or a related field.
Benefits
In addition to competitive salaries and benefits packages, Nisum India offers its employees some unique and fun extras
Continuous Learning - Year-round training sessions are offered as part of skill enhancement certifications sponsored by the company on a need basis. We support our team to excel in their field.
Parental Medical Insurance - Nisum believes our team is the heart of our business and we want to make sure to take care of the heart of theirs. We offer opt-in parental medical insurance in addition to our medical benefits.
Activities - From the Nisum Premier League's cricket tournaments to hosted Hack-a-thon, Nisum employees can participate in a variety of team-building activities such as skits, and dances performance in addition to festival celebrations.
Free Meals - Free snacks and dinner is provided on a daily basis, in addition to subsidized lunch.
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Senior Data Engineer • Hyderabad, Telangana, India
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