Data Engineer

Senior Analytics Engineer

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.

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