Sr. Eng. I, Distrib Tech
- Invesco
- 5 - 6 years
- Hyderabad
- 24 days ago
- Email to a friend
- Report this job
Job Description
- This Senior Data Engineer role sits within the Product Engagement part of our Digital, Distribution, and Enterprise Engineering (D2E2) organization
- You will maintain good relationships with internal partners and collaborate with peers across the Distribution business domain
- You will develop a strong understanding of the investments and distribution data and business processes, including both how it is produced and consumed across all Distribution channels and how to apply Invesco s Data strategy and practices to drive Distribution s data capabilities forward
- The focus of this position is to design, develop, and manage our data infrastructure and pipelines
- In this role, you will leverage modern data tools including Snowflake, PostgreSQL, DBT, Airflow, and Airbyte to ensure seamless data integration, transformation, and availability for analytics and business intelligence
- You will play a key role in building scalable and efficient data systems to support our growing data needs
You will be responsible for:
- Data Pipeline Development: Build and maintain end-to-end data pipelines using Airbyte for data ingestion and Airflow for workflow orchestration, ensuring reliable data flow from source systems to Snowflake.
- Data Transformation: Implement and optimize data transformation workflows using DBT to create clean, structured, and analytics-ready datasets in Snowflake.
- Database Management: Design, manage, and optimize PostgreSQL databases for operational data storage and integrate them with Snowflake for analytics use cases.
- Snowflake Administration: Configure and maintain Snowflake as the primary data warehouse, including schema design, performance tuning, and cost management.
- Workflow Automation: Use Airflow to schedule, monitor, and troubleshoot data pipeline jobs, ensuring timely and accurate data delivery.
- Data Integration: Leverage Airbyte to connect and sync data from various sources (e. g. , APIs, SaaS platforms, databases) into Snowflake and PostgreSQL.
- Data Quality: Implement testing and validation processes within DBT and Airflow to ensure data accuracy, consistency, and reliability.
- Collaboration: Partner with data analysts, data scientists, and business stakeholders to understand requirements and deliver tailored data solutions.
- Performance Optimization: Monitor and optimize pipeline performance, query execution in Snowflake, and resource usage across all tools.
- Documentation: Maintain detailed documentation of pipelines, transformations, and database schemas for team reference and compliance.
- Problem-Solving: Demonstrate strong problem-solving skills.
- Meetings: Attend regular team and other required meetings daily/weekly.
- Communication: Ensure clear and accurate communication and respond to data, business, and technology partners and peers in a timely manner.
This individual:
- Must be comfortable working in a scaled agile development environment.
- Have an ability to handle multiple requests from varied stakeholders, in a way that maintains clear priority, and ability to adjust when needed.
- Be an effective translator of business needs into technical requirements.
- Demonstrate an ability to build relationships, collaborate, and influence internal and external teams.
- Be able to work under the guidance of senior team members, take initiative, and get projects completed with great attention to detail and on time.
The experience you bring:
- Education: Bachelor s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
- Experience: Minimum 5-6 years of experience with AWS cloud platforms where Snowflake, Airflow, and Airbyte are deployed.
- Relational Databases and Data Warehouse: Minimum 4-7 years of experience in relational databases and data warehousing.
- Programming: Strong scripting skills in programming languages like SQL and Python, as you will be responsible for writing queries and other data transformation scripts.
- Data Knowledge: Solid knowledge of data lifecycle, data governance, data risk, master data management concepts, data modeling, business intelligence, and analytics concepts.
- Teamwork: Ability to work in a team/group setting.
- Problem-Solving: Ability to interpret complex or vague instructions and successfully produce results. Proactively identifies, analyzes, and resolves procedural fail points.
- Judgment and Initiative: Demonstrates superior judgment, reasoning, and follow-up skills. Shows a high level of initiative, assertiveness, and self-confidence.
- Agile Methodology: Strong working knowledge of Agile methodology.
- Communication: Shares information efficiently between team members. Promotes teamwork. Excellent listening, interpersonal, written, and oral communication skills.
- Time Management: Effectively manages multiple responsibilities and meets deadlines.
- Analytical Skills: Excellent analytical, mathematical, and creative problem-solving skills.
- Attention to Detail: Logical and efficient, with attention to detail.
- Data Modeling: An understanding of the concepts related to data modeling, coding, and process flow design.
This role offers an exciting opportunity to work with cutting-edge data technologies and contribute to the development of a robust data infrastructure that supports our organizations analytical and business intelligence needs. If you are passionate about data engineering and thrive in a collaborative environment, we encourage you to apply.
Our benefit policy includes but not limited to:
- Competitive Compensation
- Flexible, Hybrid Work
- 30 days Annual Leave + Public Holidays
- Life Insurance
- Retirement Planning
- Group Personal Accident Insurance
- Medical Insurance for Employee and Family
- Annual Health Check-up
- 26 weeks Maternity Leave
- Paternal Leave
- Adoption Leave
- Near site Childcare Facility
- Employee Assistance Program
- Study Support
- Employee Stock Purchase Plan
- ESG Commitments and Goals
- Business Resource Groups
- Career Development Programs
- Mentoring Programs
- Invesco Cares
- Dress for your Day
Job Classification
Industry: Financial ServicesFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: InvescoLocation(s): Hyderabad+ View Contact
Keyskills: Automation Coding Data modeling Analytical HTML Business intelligence Operations Analytics SQL
Fraud Alert to job seekers!
₹ Not Disclosed
Similar positions
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in