Sr. Data Analytics Engineer AWS/Snowflake

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Experience
3 - 5 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Senior Data Analytics Engineer
Job Type
ONSITE

Job Description

Global Delivery - GD DADP
As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions using data platform related
services on AWS

The Senior Data Analytics Engineer works directly with clients to ensure their expectations and business decision-making tool needs are met

The Engineer is an expert in using analytical and problem-solving skills and has experience creating scalable and reliable data solutions through data analytics solution development

Responsibilities
Lead and participate in the development of high-quality software solutions for client projects, using modern programming languages and frameworks

Contribute to system architecture and technical design decisions, ensuring that solutions are scalable, secure, and meet client requirements

Work closely with clients to understand their technical needs and business objectives, offering expert advice on software solutions and best practices

Provide guidance and mentorship to junior developers, assisting with code reviews, troubleshooting, and fostering a culture of technical excellence

Work with project managers, business analysts, and other engineers to ensure that technical milestones are achieved, and client expectations are met

Ensure the quality of software through testing, code optimization, and identifying potential issues before deployment

Stay up to date with industry trends, new technologies, and best practices to continuously improve development processes and software quality

Other duties as assigned and directed

Required Technical Skills
3-5 years of work experience in data engineering
Your data engineering experience should include the following modern data platform or engineering technologies: Snowflake, dbt, Airflow, Databricks, Redshift, and Palantir


Understanding of Agile engineering practices
Deep familiarity and experience in the following areas: Data warehouse and lakehouse methodologies, including medallion architecture; Data ETL/ELT processes; Data profiling and anomaly detection; Data modeling (Dimensional/Kimball); SQL
Strong background in relational database platforms
DevOps/Continuous integration & continuous delivery
Required Skills
EXCELLENT verbal and written communication skills will be expected to interact with client (gather requirements, troubleshoot issues, etc)
Able to work independently
Proactive approach must be able to continue to drive the project to completion with only general direction
MISC
Would prefer as much overlap with US ET and CT time zones

2:00 pm IST to 11:00 pm IST shift is acceptable for a candidate that can work independently

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