The IT Data Engineer plays a critical role in enabling data-driven decision-making across the organization by designing, building, and maintaining robust data infrastructure. This position is responsible for developing scalable data pipelines, managing databases and data warehouses, and ensuring the integrity, accessibility, and quality of enterprise data. Through thoughtful architecture and efficient processing systems, the Data Engineer supports analytical initiatives and empowers teams with reliable, well-organized data assets.
Key Responsibilities
Design, build, and maintain scalable data pipelines to extract, transform, and load data from diverse sources into centralized repositories (e.g., data warehouses, data lakes)
Develop and manage databases, data warehouses, and data lakes to support analytics and reporting needs
Write and maintain efficient code and scripts for data processing, transformation, and manipulation
Ensure data quality, consistency, and reliability across all systems and pipelines
Implement and uphold data security, privacy, and access controls in compliance with governance standards
Collaborate with cross-functional teams to deliver data solutions aligned with business objectives
Monitor and optimize the performance, scalability, and cost-efficiency of data infrastructure
Create and maintain clear documentation for data architecture, processes, and workflows
Stay current with emerging data engineering technologies and recommend improvements to existing systems
Design and implement data models and schemas to support analytical and machine learning use cases
Build curated datasets and data marts to enable self-service analytics for business users
Establish monitoring and alerting systems to proactively detect and resolve data pipeline issues
Support machine learning operations by collaborating with data scientists on feature engineering and model deployment
Leverage cloud platforms (e.g., AWS, Azure, GCP) to build and maintain modern, scalable data infrastructure
Contribute to data governance initiatives by ensuring compliance with internal policies and external regulations
While the job description describes what is anticipated as the requirements of the position, the job requirements are subject to change based upon any changing needs and requirements of the business.
Required Skills
Proficiency in designing, building, and supporting large-scale data warehouses using cloud platforms such as Azure, AWS, or Google Cloud
Strong experience with Big Data technologies (e.g., Snowflake, Hadoop, Spark), data modeling (OLTP/OLAP), and database design and management
Skilled in writing and debugging complex SQL scripts and Python-based data processing using libraries such as Pandas and PySpark
Hands-on experience with ETL/ELT processes, orchestration tools (e.g., Apache Airflow, Azure Data Factory), and CI/CD practices
Familiarity with containerization and deployment tools like Docker and Kubernetes
Experience with version control systems such as Git
Knowledge of streaming data technologies (e.g., Kafka, Spark Streaming) for real-time data processing
Understanding of data governance, privacy practices, and compliance regulations
Existing technical knowledge of modern systems software, protocols, and standards, including SQL Server, Snowflake/Databricks/Fabric, and Power BI
Experience with data visualization tools such as Power BI or Tableau
Ability to translate business requirements into scalable technical solutions
Strong analytical, problem-solving, and troubleshooting skills
Excellent communication and collaboration abilities across technical and non-technical teams
Detail-oriented with a strong focus on data quality, consistency, and reliability
Comfortable working independently and in a fast-paced, team-oriented environment
Familiarity with Agile or Scrum methodologies is a plus
Required Experience
Bachelor's degree in Computer Science, Software Engineering or related field.
5+ years of experience in data engineering or BI/reporting roles with a strong back-end focus
Tungsten Automation Corporation, Inc. is an Equal Opportunity Employer M/F/Disability/Vets
This position is located at Unit No 902, 9th Floor, Building No 9, Raheja Mindspace, Survey No 64, TSIIC Software Units Layout H, Hyderabad, TG. .
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