Technogen India Pvt. Ltd. | GCP Data Engineer | hyderabad
3 weeks ago
Location- Hyderabad/ Chennai/ Bangalore
Exp-6.5 to 9 years
Primary: SQL, GCP (BigQuery, Composer, Data Flow), Spark/ Pyspark/ Scala/ Kafka/ Hive
What you’ll be doing...
We’re seeking a skilled Lead Senior Data Engineering Analyst to join our high-performing team and propel our telecom business forward. You’ll contribute to building cutting-edge data products and assets for our wireless and wireline operations, spanning areas like consumer analytics, network performance, and service assurance.
In this role, you will develop deep expertise in various telecom domains. As part of the Data Architecture & Strategy team, you’ll collaborate closely with IT and business stakeholders to design and implement user-friendly, robust data product solutions. This includes defining data quality and incorporating data classification and governance principles.
Your responsibilities encompass
Collaborating with stakeholders to understand data requirements and translate them into efficient data models
Defining the scope and purpose of data product solutions, collaborating with stakeholders to finalize project blueprints, and overseeing the design process through all phases of the release lifecycle.
Designing, developing, and implementing data architecture solutions on GCP and Teradata to support our Telecom business.
Designing data ingestion for both real-time and batch processing, ensuring efficient and scalable data acquisition for creating an effective data warehouse.
Formulating End to End data solutions (Authoritative Data Source, Data Protection, Taxonomy Alignment)
Maintaining meticulous documentation, including data design specifications, functional test cases, data lineage, and other relevant artifacts for all data product solution assets.
Defining Data Architecture Strategy (Enterprise & Domain level) and Enterprise Data Model Standards & Ownership
Proactively identifying opportunities for automation and performance optimization within your scope of work
Collaborating effectively within a product-oriented organization, providing data expertise and solutions across multiple business units.
Cultivating strong cross-functional relationships and establish yourself as a subject matter expert in data and analytics within the organization.
Acting as a mentor to junior team members
What we’re looking for...
You’re curious about new technologies and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise to solve business problems. You thrive in a fast-paced, innovative environment working as a phenomenal teammate to drive the best results and business outcomes.
You'll need to have…
Bachelor’s degree or four or more years of work experience.
Four or more years of relevant work experience.
Four or more years of relevant work experience in data architecture, data warehousing, or a related role.
Strong grasp of data architecture principles, best practices, and methodologies.
Expertise in SQL for data analysis, data discovery, data profiling and solution design.
Experience defining data standards, data quality and implementing industry best practices for scalable and maintainable data models using data modeling tools like Erwin
Proven experience with ETL, data warehousing concepts, and the data management lifecycle
Skilled in creating technical documentation, including source-to-target mappings and SLAs.
Experience in shell scripting and python programming language
Understanding of git version control and basic git command
Hands-on experience with cloud services relevant to data engineering and architecture (e.g., BigQuery, Dataflow, Dataproc, Cloud Storage).
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