Senior Data Engineer

Senior Data Engineer | 68 Years | Hiringhood Phygital Matchday – Hyderabad

Experience: 6–8 Years
Employment Type: Full-Time, Permanent
Location: Hyderabad
Matchday Date: 31 October 2026

Job Summary

Hiringhood is conducting a Phygital Matchday to connect experienced Data Engineers with opportunities across 2 Global Capability Centres (GCCs) and 3 Indian product companies.

We are looking for Data Engineers with strong expertise in Python, SQL, PySpark, Apache Spark, ETL/ELT pipelines and cloud data engineering. Candidates should have hands-on experience building scalable, reliable, production-grade data pipelines and modern data platforms.

Key Responsibilities

• Design, develop and maintain scalable data pipelines for data ingestion, transformation and processing.
• Build and optimize ETL/ELT workflows integrating data from multiple sources.
• Develop data processing solutions using Python, SQL and PySpark.
• Work with large datasets using Apache Spark.
• Design and maintain data warehouses, data lakes and lakehouse solutions.
• Implement data quality checks, validation, monitoring and error handling.
• Optimize pipeline performance, scalability and reliability.
• Work with cloud platforms such as AWS, Azure or GCP.
• Collaborate with data scientists, analysts, software engineers and business stakeholders.
• Follow best practices for data security, governance, Git, CI/CD and documentation.

Required Skills

• 6–8 years of relevant Data Engineering experience.
• Strong proficiency in Python and SQL.
• Hands-on experience with ETL/ELT pipeline development.
• Experience with Apache Spark and PySpark.
• Knowledge of data warehousing, data lakes and data modelling.
• Experience with at least one cloud platform: AWS, Azure or GCP.
• Experience with PostgreSQL, MySQL, SQL Server or similar databases.
• Familiarity with Apache Airflow or other workflow orchestration tools.
• Understanding of star and snowflake schemas, fact and dimension tables, and slowly changing dimensions (SCDs).
• Knowledge of data quality, pipeline optimization and performance tuning.
• Familiarity with Git and CI/CD practices.

Good-to-Have Skills

• Databricks, Snowflake, Microsoft Fabric, BigQuery or Amazon Redshift.
• Parquet and columnar data formats.
• Kafka or other streaming technologies.
• Delta Lake and lakehouse architecture.
• Docker and data pipeline deployment practices.

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering or a related field.

Hiringhood Phygital Matchday – Selection Process

1. Online Registration: Register for the Data Engineer opportunity.
2. Preliminary Online MCQ: Complete the initial technical assessment. Qualification is mandatory to attend the in-person Matchday.
3. In-Person Technical Assessment – Hyderabad, 31 October 2026: Complete a technical MCQ, executable coding assessment and TARA AI technical interview.
4. Employer Shortlisting: Participating employers evaluate candidates based on technical performance, experience and role fit. Additional interview rounds may apply.

Important: In-person attendance is mandatory for candidates who qualify in the preliminary online assessment. Assessment completion does not guarantee shortlisting or an offer.

Apply now to participate in Hiringhood Phygital Matchday and explore Data Engineering opportunities across participating organizations.