Job Description

Job Summary

We are looking for a

Senior Analytics Engineer

to drive data excellence and innovation in our organization. As a thought leader in

data engineering and analytics principles

, you will be responsible for designing, building, and optimizing our data infrastructure while ensuring

cost efficiency, security, and scalability

. You will play a crucial role in managing

Databricks and AWS usage

, ensuring budget adherence, and taking proactive measures to optimize costs. This role also requires expertise in

ETL processes, large-scale data processing, analytics, and data-driven decision-making

, along with strong analytical and leadership skills.

Responsibilities

Act as a thought leader in

data engineering and analytics

, driving best practices and standards. Oversee

cost management

of

Databricks and AWS

, ensuring resource usage stays within allocated budgets and taking corrective actions when necessary. Design, implement, and optimize

ETL pipelines

for

incremental data loading

, ensuring seamless data ingestion, transformation, and performance tuning. Lead

migration activities

, ensuring smooth transitions while maintaining data integrity and availability.

Handle massive data loads efficiently

, optimizing storage, compute usage, and query performance. Adhere to

Git principles

for version control, ensuring best practices for collaboration and deployment. Implement and manage

DSR (Airflow) workflows

to automate and schedule data pipelines efficiently.

Ensure data security and compliance

, especially when handling

PII data

, aligning with regulations like GDPR and HIPAA.

Optimize query performance

and data storage strategies to improve cost efficiency and speed of analytics. Collaborate with

data analysts and business stakeholders

to enhance analytics capabilities, enabling data-driven decision-making. Develop and maintain

dashboards, reports, and analytical models

to provide actionable insights for business and engineering teams.

Required Skills & Qualifications:

Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence.

6-11 years of experience

in

Data Engineering, Analytics, Big Data, or related domains

. Strong expertise in

Databricks, AWS (S3, EC2, Lambda, RDS, Redshift, Glue, etc.)

, and cost optimization strategies. Hands-on experience with

ETL pipelines, incremental data loads, and large-scale data processing

. Proven experience in

analyzing large datasets

, deriving insights, and optimizing data workflows. Strong knowledge of

SQL, Python, PySpark

, and other

data engineering and analytics tools

. Strong

problem-solving, analytical, and leadership

skills. Experience with

BI tools like Tableau, Looker, or Power BI

for data visualization and reporting.

Preferred Certifications

Certified Software Systems Engineer (CSSE) Certified Systems Engineering Professional (CSEP)

Cross-Org Skills

Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity

Impact & Scope

Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity

Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer

* This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.