Data Engineer

Job Summary

Mindstix is looking for a proficient Data Engineer. You are a collaborative person who takes pleasure in finding solutions to issues that add to the bottom line. You appreciate technical work by hand and feel a sense of ownership. You require a keen eye for detail, work experience as a data analyst, and in-depth knowledge of widely used databases and technologies for data analysis.

Responsibilities

• Build outstanding domain-focused data solutions with internal teams, business analysts, and stakeholders.
• Apply data engineering practices and standards to develop robust and maintainable solutions.
• Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases.
• A natural problem-solver and intellectually curious across a breadth of industries and topics.
• Acquainted in different aspects of Data Management like Data Strategy, Architecture, Governance, Data Quality, Integrity Data Integration.
• Extremely well-versed in designing incremental and full data load techniques.

Who Fits Best

• You are a data enthusiast and problem solver.
• You are a self-motivated and fast learner with a strong sense of ownership and drive.
• You enjoy working in a fast-paced creative environment.
• You appreciate great design, have a strong sense of aesthetics and have a keen eye for detail.
• You thrive in a customer-centric environment with the ability to actively listen, empathize and collaborate with globally distributed teams.
• You are a team player who desires to mentor and inspire others to do their best.
• You love expressing ideas and articulating well with strong written and verbal English communication and presentation skills.
• You are detail-oriented with an appreciation for craftsmanship.

Qualifications and Skills

• Bachelor's or Master's degree in Computer Science, Information Technology, or allied streams.
• 3+ years of hands-on experience in the data engineering domain with DWH development.
• Must have experience with end-to-end data warehouse implementation on Azure or GCP.
• Must have SQL and PL/SQL, implementing complex queries and stored procedures.
• Solid understanding of DWH concepts such as OLAP, ETL/ELT, RBAC, Data Modelling, Data Driven Pipelines, Virtual Warehousing, and MPP.
• Expertise in Databricks - Structured Streaming, Lakehouse Architecture, DLT, Data Modeling, Vacuum, Time Travel, Security, Monitoring, Dashboards, DBSQL, and Unit Testing.
• Expertise in Snowflake - Monitoring, RBACs, Virtual Warehousing, Query Performance Tuning, and Time Travel.
• Understanding of Apache Spark, Airflow, Hudi, Iceberg, Nessie, NiFi, Luigi, and Arrow (Good to have).
• Strong foundations in computer science, data structures, algorithms, and programming logic.
• Excellent logical reasoning and data interpretation capability.
• Ability to interpret business requirements accurately.
• Exposure to work with multicultural international customers.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.