DATA DEVELOPER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 3, 2024 - The Data Developer excels in constructing complex data solutions that have successfully served customers, demonstrating a proven track record with large scale, high-quality data systems. Proficient in Python and PySpark, skilled in big data frameworks like Hadoop and Spark for efficient data handling and analysis. Possesses deep expertise in Big Data architecture, optimizing performance, and ensuring data quality through meticulous ETL processes.

Essential Hard and Soft Skills for a Standout Data Developer Resume
  • Python Programming
  • PySpark
  • Hadoop Ecosystem
  • Spark
  • Data Structures and Algorithms
  • Object-Oriented Programming
  • ETL Processes
  • Performance Tuning
  • Data Pipeline Design
  • Big Data Architecture
  • Problem Solving
  • Effective Communication
  • Analytical Thinking
  • Attention to Detail
  • Project Management
  • Team Collaboration
  • Adaptability
  • Creativity
  • Strategic Planning
  • Client Relations

Summary of Data Developer Knowledge and Qualifications on Resume

1. BA in Computer Science with 5 Years of Experience

  • High aptitude in analytical and logical thinking
  • Demonstrated experience with data models and data mapping
  • Experience with Unified Modeling Language (UML), including Entity-Relationship Diagrams (ERD), Sequence Diagrams, and Data Flow Diagrams (DFD)
  • Understanding of XML, SQL, Data Modeling Language (DML), and Data Definition Language (DDL)
  • Strong communication skills, both written and spoken
  • High-level knowledge of enterprise IT organizational, business, and technical environments
  • Ability to analyze processes and recommend improvements 
  • Capability to create and implement analytic algorithms.
  • Strong experience working with structured and unstructured data, ETL, and scripting language.
  • Proficient with PCs, Microsoft Office applications, and systems databases.
  • Ability to manipulate large amounts of data for analytical projects.

2. BA in Information Technology with 3 Years of Experience

  • Strong expertise with SQL database and Extract-Transform-Load (ETL) development, especially using Informatica PowerCenter and SAS Data Integration (DI).
  • Knowledgeable in the areas of data workload/job orchestration and batch automation technologies, including Linux shell scripting and process orchestration tools like ActiveBatch.
  • Prior experience with data modelling, data engineering, and/or data warehouse building desired.
  • Development experience in the following areas would be an asset: Amazon Web Services (AWS) infrastructure and technologies, Data Lakes, Python, Scala, and Spark.
  • Experience in software development with data engineer/architect with proven experience on Big Data and Data Lakes on AWS.
  • Comfortable leading discussions with non-technical stakeholders on data topics
  • Can effectively problem-solve and get to the root cause when troubleshooting issues
  • Extremely detail-oriented and discerning when it comes to both the data and code
  • Demonstrated experience querying and transforming data programmatically
  • Deep understanding of the various ways business departments utilize data in decision-making
  • Strong oral and written communication skills.

3. BA in Software Engineering with 5 Years of Experience

  • Direct experience with data science solutions or platforms
  • Experience implementing data solutions in Azure including Azure SQL, Azure Synapse, Cosmos DB, Databricks, ADLS, Blob Storage, ADF, and Azure Stream Analytics.
  • Good experience in end-to-end implementation of Data Warehouse and Business Intelligence projects, especially in data warehouse and data mart developments
  • Knowledge and experience with full SDLC lifecycle
  • Experience with Lean / Agile development methodologies
  • Experience in developing data science and data analytics pipelines
  • Experience with the design and implementation of ETL/ELT framework for complex data warehouses and data marts
  • Hands-on development, with a willingness to troubleshoot and solve complex problems
  • Excellent verbal and written communication skills.
  • Experience with large-scale AWS, Azure, or other cloud deployed technology solutions.
  • Experience with implementing ETL functionality for MDM and Data Profiling.

4. BA in Data Science with 6 Years of Experience

  • Ability to work with Big data.
  • Strong Python development skills
  • Angular/JS or other visualization experience 
  • Experience with Hadoop/Spark or equivalent tools 
  • Experience in the data space and utilizing SQL 
  • Remarkable ability to self-teach and adapt to changes.
  • Experience with ETL programming (extract, transform, and load).
  • Hands-on experience in data modeling, ELT/ETL design and development and best practices.
  • Experience writing, executing, and optimizing complex SQL queries.
  • Experience converting business requirements into advanced data models (OLTP/OLAP designs) to meet complex business analytics needs.
  • Strong interpersonal skills, self-motivated, and enjoys working on a wide range of projects.

5. BA in Computer Science with 3 Years of Experience

  • High capabilities in the fields of development and debugging.
  • Thorough understanding of operations improvement and research.
  • Good acquaintance with architectures and Big Data products, including HDFS, Hive, Spark, Kafka, ELK, and NoSQL databases.
  • Acquaintance with NIFI and Spring platform 
  • Experience with OS Linux and Windows.
  • Experience with the development of REST API 
  • In-Depth familiarity with development using Scala, Python, Bash, and SQL development 
  • Familiarity with Docker or similar technologies 
  • Experience with Agile/Scrum.
  • Independence, persistence, and a broad view of responsibility.
  • Excellent team member, who is also able to carry out missions independently.

6. BA in Information Technology with 3 Years of Experience

  • Experience with Python, Scala, Java, or another object-oriented programming language
  • Experience with components in the Hadoop ecosystem (Hive, Pig, Impala, Ambari, Oozie, Sqoop, Zookeeper, Mahout)
  • Experience with one or more of the following: MySQL, Redshift, Aurora, PostgreSQL
  • Experience with designing and implementing ETL processes using various tools such as Spark, Give, AWS Glue, Flink, and Beam
  • Understanding of data quality, data cleansing, data lifecycle, and metadata management
  • Experience with Business Intelligence tools such as Tableau, QuickSight
  • Understanding of Databases, schemas, tables, etc.
  • Knowledge of STLC, Requirements analysis
  • Demonstrated ability to produce highly detailed, comprehensive documentation artifacts
  • Client-focused attitude

7. BA in Software Engineering with 5 Years of Experience

  • Successful and applicable hands on experience in the data development and principles including end-to-end design patterns
  • Proven track record of delivering large scale, high quality operational or analytical data systems
  • Successful and applicable experience building complex data solutions that have been successfully delivered to customers
  • Demonstrated written and oral communication skills
  • Strong understanding and hands-on programming with Python
  • Experience with Hadoop distributed frameworks handling large amounts of big data using Spark and Hadoop Ecosystems. Spark and HDFS experience
  • Hands-on programming with PySpark code for data analysis and data management
  • Strong knowledge of object-oriented concepts, data structures and algorithms
  • Knowledge of large data sets and experience with performance tuning and troubleshooting
  • Knowledge of ETL data preparation and doing data quality checks
  • Knowledge of Big Data architecture, data pipeline, and data lake best practices

8. BA in Data Science with 2 Years of Experience

  • Ability to create Tabular Reports, Drill-down Reports, Sub Reports, and Charts. 
  • Experience designing and implementing ingestion of unstructured and structured data sets to support reporting or analytics, working knowledge of ingesting JSON, XML, documents and streaming data
  • Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
  • Knowledge of master data and metadata related concepts, standards, processes and technology
  • Has architecture experience guiding customers to use the right components in Azure for specific objectives or use cases
  • Experience with Azure ML studio or custom analytics model development, development experience using R, Python, or Spark for analytics
  • Experience in engagements with solid working experience on the Snowflake cloud DW 
  • Understands approaches to load data, design the data structures, develop views and data delivery. 
  • Can work effectively within the platform to manage the environment such as administer security, configuration, cost analysis & optimization, performance analysis and tuning.
  • Experience working with the data capabilities within AWS including tools/services such as Glue, Redshift, Athena, Kinesis, Lambda
  • Experience working with multi-terabyte environments and Big Data

9. BA in Computer Science with 9 Years of Experience

  • Experience in developing data integration/ETL solutions for data warehouses, data marts, data lakes
  • Experience in serving in a lead capacity for substantial projects
  • Expert-level knowledge of ETL frameworks including Microsoft SSIS and Azure Data Factory
  • Experience with others such as Informatica, Talend, Wherescape, Fivetran, etc. very beneficial. 
  • Can speak to the latest features and techniques and fully understands, at an implementation level, topics such as job automation, auditing and error handling, devops, performance tuning
  • Experience in engagements where the role included data architecture and data modeling
  • Prior experience serving in a consulting role
  • Thorough understanding of Cloud Architecture, especially the Azure implementation
  • Expertise with the Azure data technology stack and hands-on deep experience working with various Azure services: Azure Data Factory, Event Hub, Azure Blob & Data Lake, Azure SQL Data Warehouse, Azure SQL Database, DataBricks, Azure Analysis Services, Power BI
  • Good experience working with modern integration and ingestion tools and approaches: PolyBase, U-SQL, Python, JavaScript
  • Experience with BI reporting with specific knowledge of Power BI design and development

10. BA in Information Technology with 3 Years of Experience

  • Experience with data visualization tools (e.g., Tableau, Looker)
  • Professional experience with reporting systems, data pipeline architecture and data modeling
  • Experience explaining technical concepts and analysis implications clearly to varied audiences and experience translating business objectives into actionable analyses
  • Experience thinking strategically, structurally solving product problems, and driving execution
  • Experience with distributed computing (Hive/Hadoop)
  • Experience developing data pipelines via SQL and Python-based ETL framework
  • Experience releasing code into production
  • Experience writing testable code
  • Experience as test lead/ leading or managing team
  • Well versed with QA Processes.
  • Knowledge of test management tools like - Jira, X-ray.