Enterprise Data Operations Associate Manager

Pepsico

12 - 17 years

14 - 18 Lacs

Hyderabad

Posted:1 week ago| Platform:

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Skills Required

Data Operations Azure Data Factory GitHub Azure Data Engineering CI/CD Azure Databricks ADO

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsibilities

Manage a team of data engineers and data analysts by delegating project responsibilities and managing their flow of work as well as empowering them to realize their full potential.
Design, structure and store data into unified data models and link them together to make the data reusable for downstream products.
Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
Create reusable accelerators and solutions to migrate data from legacy data warehouse platforms such as Teradata to Azure Databricks and Azure SQL.
Enable and accelerate standards-based development prioritizing reuse of code, adopt test-driven development, unit testing and test automation with end-to-end observability of data
Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality, performance and cost.
Collaborate with internal clients (product teams, sector leads, data science teams) and external partners (SI partners/data providers) to drive solutioning and clarify solution requirements.
Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects to build and support the right domain architecture for each application following well-architected design standards.
Define and manage SLAs for data products and processes running in production.
Create documentation for learnings and knowledge transfer to internal associates.

Qualifications

12+ years of overall technology experience that includes at least 5+ years of hands-on software development, data engineering, and systems architecture.
8+ years of experience with Data Lakehouse, Data Warehousing, and Data Analytics tools.
6+ years of experience in SQL optimization and performance tuning on MS SQL Server, Azure SQL or any other popular RDBMS
6+ years of experience in Python/Pyspark/Scala programming on big data platforms like Databricks
4+ years in cloud data engineering experience in Azure or AWS.
Fluent with Azure cloud services. Azure Data Engineering certification is a plus.
Experience with integration of multi cloud services with on-premises technologies.
Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines.
Experience with data profiling and data quality tools like Great Expectations.
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
Experience with at least one business intelligence tool such as Power BI or Tableau
Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
Experience with version control systems like ADO, Github and CI/CD tools for DevOps automation and deployments.
Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.
Experience with Statistical/ML techniques is a plus.
Experience with building solutions in the retail or in the supply chain space is a plus.
Understanding of metadata management, data lineage, and data glossaries is a plus.
BA/BS in Computer Science, Math, Physics, or other technical fields.
Candidate must be flexible to work an alternative work schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon product and project coverage requirements of the job.
Candidates are expected to be in the office at the assigned location at least 3 days a week and the days at work needs to be coordinated with immediate supervisor

Skills, Abilities, Knowledge:

Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
Proven track record of leading, mentoring data teams.
Strong change manager. Comfortable with change, especially that which arises through company growth.
Ability to understand and translate business requirements into data and technical requirements.
High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.
Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs.
Foster a team culture of accountability, communication, and self-management.
Proactively drives impact and engagement while bringing others along.
Consistently attain/exceed individual and team goals.
Ability to lead others without direct authority in a matrixed environment.
Comfortable working in a hybrid environment with teams consisting of contractors as well as FTEs spread across multiple PepsiCo locations.
Domain Knowledge in CPG industry with Supply chain/GTM background is preferred.

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