Data Engineer

hace 1 semana

Ciudad de México, Ciudad de México Nortal A tiempo completo
Job Title: Data Specialist

We are seeking a highly skilled Data Specialist to join our team at Nortal. As a Data Specialist, you will play a pivotal role in designing, building, and maintaining our data infrastructure, ensuring the accuracy, security, and integrity of our data assets.

Responsibilities:
  • Design and implement secure data pipelines using automation techniques to ensure efficient data processing and delivery.
  • Collaborate with the data team to identify and resolve data quality issues, ensuring data accuracy and consistency.
  • Prepare data for business users, data analysts, and data scientists, providing insights and recommendations for data-driven decision-making.
  • Communicate directly with clients and product owners to understand their data needs and provide tailored solutions.
  • Support system design and development, ensuring data is properly integrated and utilized across the organization.
  • Assist with issue triage, diagnosis, and resolution, working closely with the development team to resolve data-related issues.
  • Contribute to code reviews and solutions, collaborating with other developers to ensure high-quality data engineering practices.
  • Stay up-to-date with evolving technologies, techniques, architectures, and hardware relevant to data management and platforms, ensuring Nortal remains at the forefront of data innovation.
  • Play a key role in introducing new technologies and tools, ensuring seamless integration and adoption across the organization.
  • Ensure robust data security through encryption, access controls, and authentication mechanisms, maintaining data integrity and confidentiality throughout its lifecycle.
Qualifications:
  • 3-5 years of Data Engineering experience.
  • Expert in SQL.
  • In-depth experience with at least one programming language (e.g., Java, Python, Bash, JavaScript).
Required Technical Expertise:
  • Proficiency in mainstream databases (e.g., SQL Server, Oracle, MySQL, DB2).
  • Experience in Microsoft Fabric ideally, or Azure stack as a compromise.
  • Deep knowledge of large-scale analytic database technologies (e.g., Snowflake, Redshift, Azure Synapse).
  • Experience constructing effective data pipelines.
  • Data Modeling.
  • Understanding of diverse Data & Analytics hybrid architectures, including Data Lake, Data Warehouse, Data Mesh, Enterprise Data Hub, Data Fabric, and Delta Lake with real-time, batch, and micro-batch workloads.
  • Extensive Python experience.
  • Expertise in API programming interfaces such as JDBC, ODBC, REST API, and SOAP API.
  • Logging, auditing, and tracing knowledge.
  • Proficiency in SQL.
  • Intermediate Shell scripting skills (Bash, PowerShell, etc.).
  • Data security and privacy expertise.
  • Automation of data pipelines.
  • Infrastructure-as-code implementation (e.g., Liquibase, Flyway).
  • Hands-on experience with various data types (structured, semi-structured, unstructured, JSON, AVRO, ORC, Parquet, Iceberg, Arrow).
  • Data Quality Assurance mastery.
  • Knowledge of Big Data technologies (e.g., Hadoop, Hive, Spark, Kafka) and data engineering.
  • Expertise in Data Warehousing and Cloud Platforms (e.g., Snowflake, Redshift, Azure Synapse).
  • Proficiency in source code control using Git.
  • Understanding of Data Science and Machine Learning tools and algorithms.
Desirable Skills:
  • Experience with major cloud technologies (AWS, GCP, Azure).
  • Data Application Development proficiency.
  • Data Modeling expertise.
  • Experience in large-scale data migrations.
  • Extensive experience with Spark and Databricks.
  • Proficiency in Scala, Java, and JavaScript.
  • Familiarity with AWS EMR and Presto.
  • Expertise in ETL/ELT tools (e.g., Informatica, Talend, DBT).
  • Knowledge of Data Replication (e.g., HVR, Golden Gate, Fivetran).
  • Understanding of Data Virtualization (e.g., Denodo).
  • Hands-on experience with machine learning.
  • Familiarity with Data Governance practices.
Consultative Skills:
  • Dedication to adding value to projects and teams.
  • Flexibility and customer-centric approach.
  • Embracing feedback and showing growth.
  • Enthusiastic about continuous learning and professional development.
  • Identifying and addressing project challenges with Nortal leadership.
  • Understanding the high-level business value of ongoing projects.
  • Participation in mid-level technical meetings with clients.
  • Strong written and verbal English communication.
  • Self-directed work style.
  • Mentorship potential and orientation for Junior Engineers.
  • Initiative-driven and results-focused.
  • Openness to new experiences and knowledge.
  • Exceptional communication skills.

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