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Hyderabad · On-site · 4-7 Yrs · Oct 27
1 to 50 Employees · Kondapur, India
Hiring: Engineering
What employees say
+ Supportive and collaborative team environment with strong leadership and clear vision. Great opportunities to work on cutting-edge AI/ML projects and continuously learn new technol
− Workload can occasionally increase during tight deadlines, and some processes could be further streamlined for better efficiency.
More reviews on the company profile.
Interview experience · Senior Software Developer
3 to 4 rounds 1st is they'll give you an assessment they'll review it and ask the basic JS and Frontend questions. And the interview is searchable can use google.
Easy difficulty · Hyderābād · 3 reports
More interview insightsJob description
Overview
Data Engineer | 4-6 Years | Hiringhood Phygital Matchday Hyderabad
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.
Qualifications
- 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.
- 4-6 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.
- Database Certification preferred.
- Snowflake Certification preferred.
- 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
- Online Registration: Register for the Data Engineer opportunity.
- Preliminary Online MCQ:Complete the initial technical assessment. Qualification is mandatory to attend the in-person Matchday.
- In-Person Technical Assessment Hyderabad, 31 October 2026: Complete a technical MCQ, executable coding assessment and TARA AI technical interview.
- Employer Shortlisting: Participating employers evaluate candidates based on technical performance, experience and role fit. Additional interview rounds may apply.
- Bachelors or Masters degree in Computer Science, Information Technology, Engineering or a related field.
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Job application FAQ
Last updated 2 November 2026
- How do I apply for Mid Data Engineer at Hiringhood?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Hiringhood may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Mid Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Mid Data Engineer remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Mid Data Engineer role at Hiringhood?
- This is a mid-level Mid Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.