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Senior Data Engineer (PowerBI & Data Integration)

8 hours, 10 minutes ago
Mexico
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Azure EC2 GCP Hadoop Hibernate Hive Java MapReduce NumPy Pandas Power BI Python Redis Snowflake Spring Spring Boot SQL Tableau
Apply Now
3Pillar Global

3Pillar Global

3Pillar Global is an innovative product development company that builds breakthrough software products to power digital businesses. They offer a range of services including product strategy, management, user experience design, and software engineering ...

Internet Software & Services
1K-5K
Founded 2006
$26M raised
View All Jobs 69

Description

  • Collaborate with U.S.-based client stakeholders to define solutions and technical direction.
  • Translate business requirements into technical specifications and actionable engineering work.
  • Write code and implement data engineering solutions.
  • Create and manage versioned data pipelines and change control processes.
  • Develop ETL and ELT processes to extract, transform, and manipulate data from multiple sources.
  • Design, build, and maintain batch and real-time data pipelines in production.
  • Automate data workflows for ingestion, aggregation, and ETL processing.
  • Add logging and instrumentation to pipelines and supporting services.
  • Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
  • Guide other data engineers and contribute hands-on to delivery.

Requirements

  • 5+ years of experience as a data engineer or in a similar role.
  • Advanced SQL skills with experience in relational databases and database design.
  • Experience with cloud data warehouse solutions such as Snowflake, Redshift, BigQuery, or Azure Synapse.
  • Strong Python skills with hands-on experience using Pandas, NumPy, and other data libraries.
  • Experience with big data technologies such as Spark, MapReduce, Hadoop, or Hive.
  • Experience with data pipeline and workflow tools such as Airflow.
  • Experience with data visualization tools such as PowerBI, Tableau, or AWS QuickSight.
  • Experience with AWS, Azure, or GCP data engineering services.
  • Knowledge of AWS services such as S3, Lambda, EMR, Glue ETL, Athena, RDS, Redshift, EC2, and IAM, or Azure services such as ADF, Synapse Analytics, ADLS Gen2, and Azure SQL DB.
  • Strong experience with data lakes and data warehouse solutions.
  • Excellent problem-solving, communication, and organizational skills.
  • Ability to work independently and collaboratively, and to guide other data engineers.
  • High level of English proficiency to interact directly with U.S.-based clients.
  • Experience with Java and Java-based frameworks such as Spring, Spring Boot, Hibernate, or Apache is desired.
  • Understanding of NoSQL databases such as Redis is desired.

Benefits

  • Medical insurance benefits as per company policy.
  • Life insurance as per company policy.
  • 15 days of paid vacation plus additional days based on tenure.
  • Vacation bonus, sick leave, paid holidays, and other leave benefits as per local law.
  • Profit sharing, Christmas bonuses, punctuality bonuses, and attendance bonuses.
  • Paternity, maternity, marriage, bereavement, and graduation leave.
  • Work-from-home allowance as per company policy.
  • Paid professional certifications.
  • Direct payroll deposit.
  • Flexible remote-first work environment.
  • Global team environment with English-speaking collaboration across regions.
  • Well-being support, including fitness offerings and mental health plans where available.

Interested in this position?

Apply directly on the company website

Apply Now

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