Data Engineer

Position: Data Engineer

Location: India (Hyderabad).

ShiftTimings:12 PM to 10 PM (IST).

Experience: 24 years

Type: Full-time

Compensation: Competitive salary + ESOPs

PETADATA is currently hiring for a Data Engineer position.

Roles & Responsibilities

Data Pipeline Development

• Design, build, and maintain scalable data pipelines for ingesting, processing, and transforming data
• Develop batch and real-time data processing workflows
• Ensure data pipelines are reliable, efficient, and fault-tolerant

• Design and implement data architectures(data lakes, data warehouses, lakehouses)
• Create and maintain data models, schemas, and metadata
• Optimize data storage and retrieval strategies

• Integrate data from multiple sources (databases, APIs, streaming platforms, third-party tools)
• Handle structured, semi-structured, and unstructured data
• Implement data validation and quality checks

• Work with big data tools such as Apache Spark, Hadoop, Kafka, Flink
• Build streaming and real-time data processing systems
• Optimize large-scale data processing performance

• Use cloud platforms such as AWS, Azure, or GCP
• Work with services like:
• AWS: S3, Glue, Redshift, EMR, Athena
• Azure: Data Factory, Synapse
• GCP: BigQuery, Dataflow
• Manage cloud-based data infrastructure

• Manage and optimize SQL and NoSQL databases
• Implement indexing, partitioning, and performance tuning
• Support data access for analytics, AI, and reporting teams

• Implement data quality checks, monitoring, and alerts
• Enforce data governance, lineage, and metadata management
• Ensure data security, privacy, and compliance (GDPR, HIPAA, etc.)

• Automate data workflows using tools like Airflow, Luigi, Prefect
• Schedule, monitor, and troubleshoot data jobs
• Reduce manual processes through automation

• Collaborate with data scientists, analysts, and AI engineers
• Support analytics, BI, and machine learning initiatives
• Translate business requirements into data solutions

• Monitor pipeline performance and data freshness
• Identify and resolve data issues and bottlenecks
• Optimize costs and resource usage

• Define data engineering standards and best practices
• Lead data platform design and modernization efforts
• Mentor junior data engineers
• Drive data strategy and roadmap planning

• Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field
• Proven experience as a Data Engineer or similar role
• Strong programming skills in Python and SQL (Scala or Java preferred)
• Hands-on experience with big data frameworks such as Spark, Kafka, Hadoop
• Experience designing and maintaining data pipelines and ETL/ELT processes
• Strong understanding of data modeling, data warehousing, and lakehouse architectures
• Experience with cloud platforms: AWS, Azure, or GCP
• Hands-on experience with SQL and NoSQL databases
• Experience with workflow orchestration tools (Airflow, Prefect, Luigi)
• Knowledge of data quality, governance, and security best practices
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication and collaboration abilities

• Languages: Python, SQL, Scala, Java
• Big Data: Spark, Kafka, Hadoop
• Databases: PostgreSQL, MySQL, MongoDB, Cassandra
• Cloud: AWS, Azure, GCP
• Orchestration: Airflow, Prefect
• Data Warehouses: Redshift, Snowflake, BigQuery

Bachelors or Masters degree in Computer Science or related field

We offer a professional work environment and are given every opportunity to grow in the Information technology world.

Note

Candidates are required to attend Phone/Video Call / In-person interviews and after Selection of candidate (He/She) should go through all background checks on Education and Experience.

Please email your resume to:[HIDDEN TEXT] / [HIDDEN TEXT]

Contact Nos :+91 833-204-5674 / +91 833100-2291

After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps.