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Senior Data Engineer

Remote / Online - Candidates ideally in
Snowflake, Navajo County, Arizona, 85937, USA
Listing for: Shakta Technology Pvt Ltd
Full Time, Remote/Work from Home position
Listed on 2026-09-02
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Build the future of software development with a team that values innovation, collaboration, and personal growth.

Why Choose Shakta Technology ?

We believe in creating an environment where everyone can thrive and do their best work.

Comprehensive health, dental, and vision insurance for you and your family.

Flexible hours, remote work options, and generous vacation policy.

Team Culture

Collaborative environment with regular team events and celebrations.

Open Positions

Explore exciting opportunities to grow your career with us.

Tech

Office

Full-time

  • Build ETL/ELT pipelines using Python & SQL
  • Implement dimensional data models
  • Write optimized SQL queries
  • Work with Parquet + partitioning
  • Develop Spark batch jobs
  • Implement dbt models & tests (if used)
  • Fix data issues identified by monitoring
Requirements:

1

Tech

Office

Full-time

  • Build and manage workflows in Airflow / ADF / Dagster
  • Handle scheduling, retries, backfills
  • Implement data quality checks
  • Maintain pipeline logs & alerts
  • Monitor SLAs and resolve failures
  • Support streaming pipelines (Kafka / Pub/Sub / Event Hubs – basic)
Requirements:

1

Tech

Office

Full-time

  • Manage cloud storage (S3 / ADLS / GCS)
  • Implement IAM/RBAC with guidance from Senior
  • Manage secrets (KMS / Key Vault / Secret Manager)
  • Support Databricks / EMR / Dataflow / Dataproc jobs
  • Write basic Terraform modules
  • Create & maintain Docker images
  • Assist in CI/CD pipelines
Requirements:

1

Tech

Office

Full-time

  • Design overall data architecture (lakehouse / medallion)
  • Decide data modeling standards (facts, dimensions, naming)
  • Own warehouse/lakehouse strategy (Big Query / Snowflake / Redshift / Databricks)
  • Lead Spark strategy and performance optimization
  • Review PRs, enforce code quality & best practices
  • Define data quality rules, SLAs, backfill strategy
  • Own security design (IAM/RBAC, PII handling)
  • Guide CI/CD, branching strategy, release process
  • Cost optimization & capacity planning
  • Mentor mid-level engineers
Requirements:

1

Our Hiring Process

We've designed a straightforward, transparent process to help us get to know each other better.

1

2

Screening

Initial phone/video call to discuss your experience and interests.

3

Technical

Technical assessment or portfolio review relevant to the role.

4

Final Interview

Meet the team and discuss how you'll contribute to our mission.

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Position Requirements
10+ Years work experience
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