New job Sr Data Analyst, Data Ops in Andhra Pradesh

Sr Data Analyst, Data Ops

Company : Invesco
Salary : Details not provided
Location : Andhra Pradesh

Full Description

JOB TITLE: Sr Data Analyst, Data Ops

THE ROLE:

Support the transformation of data systems to meet the needs for rapid discovery and exploitation necessary for decision making, contributing to the entire data operations lifecycle for our portfolio of enterprise data products, from data acquisition through data disposition. The analyst will be part of a multi-functional team of teams in support of handling the flow of the data, data ingestion, management, and other areas of data processing within agile squads, and follow DataOps standards, processes and methodologies for operating and maintaining successful continuous delivery while ensuring capabilities are reusable, scalable, and cost effective, in build and/or run, related to data access loading, transformation, provisioning and/or consumption. Additionally, you will work to develop the DataOps practice and identify and deliver new patterns, or technologies to meet emerging requirements for democratizing data across our global enterprise.

KEY RESPONSIBILITIES / DUTIES:

  • Team with data engineering, analyst and systems integrations resources to deliver data pipelines, and build data pipelines at scale
  • Support agile squads with planning, scoping and creation of solutions for data solutions, through continuous delivery to production
  • Contribute to the data pipeline across our entire systems stack consisting of core systems and cloud services
  • Evolve our existing data definitions and support the governance framework, recommending ways to improve the accuracy, integrity, and reliability of our entire data platform
  • Develop the core system stack and core data management platform in support of the data capability catalog, standards and roadmaps
  • Deliver solutions for sophisticated data systems and platforms, and large scale CI/CD data pipelines utilizing a variety of technologies (REST APIs, advanced SQL, Amazon S3, Data-Lakes, etc.), relational databases (PostgreSQL), and data warehouse solutions (RedShift, Snowflake)
  • Work with information delivery, architecture and wider technology teams to democratize data and help automate consumption needs
  • Advise on transformation processes to populate data models, and explore ways to design, develop, and scale data systems and platforms
  • Engage with business SME’s to understand required capabilities, integrating business knowledge with technical solutions
  • Strengthen and drive the adoption of common data management standards across defined data domains
  • Design, enhance and implement embedded Data Quality processes, tools and metrics for all master and data delivery systems
  • Engage with architects and technical staff to determine the most appropriate system strategy and designs to meet business needs.
  • Demonstrate broad solutions system leadership, impacting significant technical direction, exerting influence outside of the immediate team and driving change

SKILLS:

  • Experience on a team of platform and data operators as well as systems integrators
  • Shown success in data operations programs and developing data pipelines across complex systems stack
  • Ability to capture and/or translate requirements, coordinate cross-domain efforts to scope, schedule, and deploy new features sets; analyze cost/benefits and communicate results throughout the firm
  • Good technical and product/business judgment
  • Experience as a data engineer / backend software engineer, or related experience, and experience developing in variety of object oriented and scripting languages to integrate different data systems
  • Knowledge of developing and deploying cloud technologies is a strong plus
  • Working SQL knowledge and experience working with relational / non-relational databases, schema design, and excellent SQL troubleshooting skills working with large datasets
  • Solid background on ETL development, data modeling, metadata management, and data quality, data retention, and data cleansing
  • Experience with implementing CI/CD processes with understanding of delivery methodology and lead teams in the implementation of the solution according to the design/architecture
  • Experience supporting a cloud computing environment (e.g., private, hybrid, and/or public)
  • Experience with DevOps and DataOps concepts
  • Experience implementing and supporting Enterprise Data Governance, Data Architecture and Data Information Delivery Frameworks, and using supporting applications
  • Exposure and experience in a analyst role, preferably in the asset management / servicing industry and multinational firm
  • Proven success collaborating and teaming with professional level staff

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