Data Engineer

1 month ago

hyderabad, India RealPage, Inc. Full time

We are seeking a talented and motivated Data Engineer to join our dynamic team. As a key member of the data analytics team, you will play a crucial role in designing, developing, and maintaining data pipelines, analytics systems, and reports. This person will drive our data modernization initiative to support decision-making across the enterprise. This role has great exposure within the finance organization (including the CFO) and across other departments. 

Data Stack : Fivetran, Airbyte, dbt, BigQuery, Cube, PowerBI, ThoughtSpot 

  PRIMARY RESPONSIBILITIES

Collaborate with cross-functional teams to understand data requirements and objectives.  Identify key moments in the customer journey to mitigate churn and drive retention.  Design and implement robust data pipelines for efficient data extraction, loading, and transformation (ELT) processes, utilizing modern data pipeline tools (including Airbyte, CData, and others).  Develop and maintain cloud data warehouse data models for analytics purposes, incorporating semantic layers for enhanced data accessibility and controls.  Perform data analysis to identify trends, patterns, and insights relevant to business goals.  Ensure data accuracy, integrity, and security through regular monitoring and maintenance.  Create and optimize SQL queries for data extraction and analysis, leveraging tools like dbt to build and document data transformations.  Collaborate with data scientists and analysts to implement machine learning models and algorithms.  Stay informed about industry best practices and emerging technologies in data analytics, with a focus on modern data stack advancements. 

REQUIRED QUALIFICATIONS  

Bachelor’s degree or Master's degree in Computer Science, Statistics, Engineering, Mathematics, Economics or a related field.  5+ years of experience working in the analytics stack as a Data Engineer or similar role.  Strong proficiency in SQL and 3+ years of production experience with dbt, macros and Jinja.  Hands-on experience with data warehousing solutions (e.g., BigQuery, Snowflake, Data Bricks).  Experience with ETL tools and processes, including Airbyte and FiveTran.  Solid understanding of data modeling and database design principles.  Experience with orchestration tools such as Apache Airflow.  Intellectual curiosity and analytical follow-through (you always ask “why?” and think about how you could answer that question).  Superior analytical, problem-structuring, and visualization skills - you can get to the heart of a problem, identify what you need to answer the question, and present it in a manner that will inform decision-making.  Proficiency in programming / scripting languages such as Python.  Competence with preparing documentation, using automated documentation and data cataloguing tools like dbtCloud and Dataplex.  Strong analytical and problem-solving skills.  Excellent communication and collaboration skills.  Ability to work independently and take ownership of projects. 

REQUIRED KNOWLEDGE/SKILLS/ABILITIES

Familiarity with CI/CD methodologies applied to data (including test-driven development, environment staging, data contracting).  Knowledge of financial and/or operational data analysis and reporting.  Bonus points for experience working with (build, maintain, integrate, etc.) enterprise accounting systems and SalesForce. 

Physical Demands and Working Conditions  

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee must have the ability to operate a personal computer and express or exchange ideas by means of the spoken word. May be required to sit and/or stand for long periods of time. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. May be required to lift or move 10+ pounds. #LI-REMOTE #LI-JL1

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