Senior Data Engineer w/ Cloud experience :: 7+ years experienced

Role: Senior Data Engineer with any cloud certification
Location: Nagpur or Hyderabad, 5 Days-Onsite
Employment Type: Full-Time with Qunata Systems Technologies LLP
Salary Range: Competitive
Shift Time: UK Shift

Work Mode:
This position may be based in either Nagpur or Hyderabad.
If based in Nagpur, the candidate is required to work from the Nagpur office.
If based in Hyderabad, the candidate is required to work from the client’s office in Hyderabad.

This is a 5 days a week, work from office role.

Job Description:
The Senior Data Engineer will be responsible for creating a connected data ecosystem that unleashes the power of our streaming data. We gather data, to allow fast feedback loops across territories; combined with our strategic data platform, this data ecosystem is at the core of being able to make intelligent business decisions.

In this role, the Senior Data Engineer will share responsibilities in the development and maintenance of data pipelines that facilitate data driven machine learning, as well as support ongoing operations related to the Life Sciences and Pharmaceuticals

Responsibilities include, but are not limited to:
Collaborate with a high-performance team of Data Engineers
Contribute to and facilitate design, build, testing, scaling, and maintaining data pipelines from a variety of source systems and (Internal, third party, cloud based, etc.), according to business and technical requirements.
Deliver observable, reliable and secure software, embracing “you build it you run it” mentality, and focus on automation and GitOps.
Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies.
Take an active role in story definition, assisting business stakeholders with acceptance criteria.
Work with Principal Engineers and leaders to share and contribute to the broader technical vision.
Develop and champion best practices, striving towards excellence and raising the bar within the department.
Develop solutions combining data blending, profiling, mining, statistical analysis, and machine learning, to better define and curate models, test hypothesis, and deliver key insights
Operationalize data processing systems

Qualifications
7+ years relevant experience in Data Engineering
Programming skills in one or more of the following: Python, Java, Scala
Proven ability to write reusable/efficient code to automate analysis and data processes
Demonstrated expertise in Advanced SQL, ETL, Data Architecture, and Workflow management
Intermediate level of experience querying relational databases with SQL
Demonstrated experience implementing scalable, distributed, and highly available systems in a cloud ecosystem
Ability to work with graph-based data workflows (e.g., Apache Airflow), or any ETL / ELTs
Expertise in crafting advanced SQL queries and optimizing database performance.
Basic data modeling, transforming data and deriving strategic insights.
Familiarity with Cloud Datawarehouses (Snowflake, Databricks, Big Query) for processing and analyzing large datasets.
Extensive experience in ETL processes for seamless data movement across systems.
Ability to develop data catalogs while ensuring clarity and correctness of key business metrics
Experience building streaming data pipelines using Kafka, Spark or Flink
Data modelling experience (operationalizing data science models/products a plus)
Cloud certifications (Azure, GCP, AWS)
Bachelor’s degree with a specialization in Computer Science, Engineering, Physics, other quantitative fields or equivalent industry experience.

Desired Characteristics:
Experience in processing structured and unstructured data into a form suitable for analysis and reporting with integration with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Experience building and deploying ML pipelines: training models, feature development, regression testing
Strong Test-Driven Development background, with understanding of levels of testing required to continuously deliver value to production.
Experience with large-scale data for analytics (media experience a plus)
Ability to work effectively across functions, disciplines, and levels
Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills
Ability to surface and navigate differing perspectives constructively to drive alignment and sound technical decisions
Pride and ownership in your work and confident representation of your team to others
Desired Certification one of the cloud platforms or Datawarehouse platforms