Job Location: Hyderabad/Secunderabad
The Position (Key Responsibilities):
You will work with business leaders, their teams, and their various stakeholders to help discover, deliver, monitor and enhance various business goals and initiatives. This is done by leveraging AWS cloud based data analytics platform. The ideal candidate is a natural self-starter who is comfortable working within a cross functional environment, supporting multiple stakeholders and initiatives. You will have a true hands-on approach, strong analytical skills, including the ability to gain true insights from data, and be an effective communicator. Business acumen is a must have and will be most required for this position.
Other responsibilities include
- Work with various stakeholders of Insight & Data Services throughout the organization to identify opportunities for leveraging company data to drive business solutions
. • Responsible for expanding and optimizing existing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams
. • Experience in data pipeline building and data wrangling, should be comfortable optimizing data systems and building them grounds up
- Create data pipelines, workflows and collaborate with analytics and data science teams
- Manage and execute various projects from start to finish including project management, data gathering and manipulation, estimation, synthesis and modeling, problem solving, and communication of insights and recommendations
- Experience working in a fast-paced environment, comfortable navigating conflicting priorities and ambiguous problems
- Coordinate with different functional teams to implement data models, architecture and monitor outcomes
- Evaluate and drive continuous improvements/ innovation in reporting/ advance analytics
- Continuously focus on building competency in new/future technologies and solutions pertaining to data, reporting and analytics
- Develop strong functional knowledge and business stakeholder relationship with every project
Background & Experience:
The ideal candidate: • 08+ years of proven experience in data engineering for operational & managerial reporting/ analytics
- 2-3 years of advance & relevant experience in data engineering techniques (data querying, transformation, ingestion, cataloging, modelling & storage, etc.)
- Experience querying databases and using statistical computer languages (Python, PySpark, Lambda function, Scala, SLQ, etc.) to manipulate data and draw insights from large data sets
- Experience working with various source systems like SAP/ BW/ IoT/ Flat Files/ APIs integration using Theobald, AWS Kinesis, AWS Flat File Gateway, AWS Glue respectively
- Experience working with multiple data ingestion patterns, (e.g. ETL, streaming, Change Data Capture (CDC), micro-batches, and self-service data preparation)
- Familiarity with cloud-native approaches to data warehousing, including raw data storage, scalable data stores, elastic compute, and support for multiple marts. Data governance knowledge is plus
- Experience working with AWS cloud services: AWS Glue, Lake Formation, S3, Redshift, EMR, EC2, Athena, is added advantage
- Experience visualizing/presenting data for stakeholders using: PowerBI, Tableau, QuickSight
- Familiarity with agile (e.g. scrum, Kanban) and DevOps practices
- Certification on AWS cloud services / Big data technology is a big plus
- Domain experience in finance/ human resource/ procurement/ manufacturing/ supply chain/ sales & marketing
Excellent interpersonal skills and the ability to successfully interact with stakeholders from senior management to junior staff
- Proactively solves problems and seeks to own the resolution of issues throughout the lifecycle. • Takes critical feedback in stride, and adjusts approaches accordingly.
- Digitally savvy, able to navigate easily in a virtual world
- Is a team player and not afraid to challenge the status quo
- Has excellent stakeholder management skills, can navigate matrix structures and foster collaborative working • Bachelor or Masters degree in Computer Science, Engineering, Finance, Math, Statistics or a related discipline
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