Data Engineering (Immediate Joiners Preferred)
Location: Bengaluru / Hyderabad
Experience: 6+ Years
Compensation: ₹12–18 LPA
Work Model: Hybrid (Mandatory 3 Days/Week from Client Office)
We are seeking experienced Data Engineers to join a high-visibility enterprise data modernization initiative. The selected candidates will be part of a Datastore Migration Factory Team responsible for migrating critical data assets from legacy on-premises Data Lake environments to a modern AWS-hosted Lakehouse platform.
This is an excellent opportunity to work on large-scale cloud migration projects, modern data architectures, and cutting-edge data engineering technologies while collaborating with global teams.
Key Responsibilities
- Design, develop, and optimize scalable data ingestion and transformation pipelines.
- Migrate existing data assets and workflows from on-premises Data Lakes to AWS-based Lakehouse architecture.
- Refactor and modernize extraction, transformation, and loading processes.
- Convert and optimize legacy SQL and Spark workloads for Snowflake and Apache Iceberg environments.
- Ensure data integrity, reconciliation, validation, and quality throughout migration activities.
- Collaborate with business stakeholders, platform teams, and data consumers to support migration planning and execution.
- Implement best practices related to data lineage, governance, performance optimization, and scalability.
Required Skills
- 6+ years of hands-on experience in Data Engineering.
- Strong experience with AWS Cloud and data migration projects.
- Expertise in Python, SQL, Spark, and large-scale data processing.
- Experience building and maintaining data ingestion frameworks and ETL/ELT pipelines.
- Strong understanding of Data Lake and Lakehouse architectures.
- Knowledge of Slowly Changing Dimensions (SCDs), Temporal Data Modeling, Data Lineage, Schema Evolution, Data Partitioning, and Clustering.
- Familiarity with CI/CD practices, SDLC processes, and deployment automation.
Preferred Skills
- Snowflake and Apache Iceberg.
- Kafka, Hadoop (HDFS/Hive), and Kubernetes.
- Experience with JSON, Avro, and Parquet data formats.
- Understanding of data warehousing concepts including normalization, denormalization, and surrogate key design.
Candidate Profile
We are looking for professionals with a strong ownership mindset, excellent problem-solving capabilities, and the ability to work effectively with distributed global teams. Strong communication and stakeholder management skills are essential.
Immediate joiners only.
Interested candidates can share their updated resume at:
[email protected]
Pay: Up to ₹1,800,000.00 per year
Application Question(s):
- What is your Last Working Day
Experience:
- Python: 6 years (Required)
Location:
- Hyderabad, Telangana (Required)
Work Location: In person
