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Big Data Lead at HEXAWARE
, , India -
Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

ADB, DBT, SQL, Python, ETL/ELT, Data Modeling, Kafka, Kinesis, Event Hubs, Airflow, ADF, Prefect, Terraform, Bicep, Azure, AWS

Industry

IT Services and IT Consulting

Description
Mandatory Skills ADB + DBT Job Summary: Designs, builds, and maintains scalable data ingestion, transformation, and serving layers to deliver governed, reusable datasets for analytics, ML, and operational use cases. Main Responsibilities: Develop robust ETL/ELT pipelines and data models aligned to enterprise standards and data contracts. Write performant SQL/Python; optimize storage/compute for cost and speed. Implement automated testing, data quality checks, and observability (lineage, metrics, alerts). Collaborate with MDM, Metadata, Analytics, and Security on trust, discoverability, and compliant access. Document sources, transformations, data products, and runbooks. Define patterns/reference architecture/ implementations; lead complex integrations/migrations. Embed security/privacy controls (masking, tokenization, RBAC/ABAC); mentor engineers. Independently leads projects; acts as tech lead; ensures cross-team alignment. Streaming (Kafka/Kinesis/Event Hubs), CDC, micro-batch; Data Quality & lineage platforms Qualifications: 6+ years relevant; certifications a plus. Bachelor’s Degree or equivalent work experience (One-year relevant experience is equivalent to one-year college) Preferred Qualifications: Advanced SQL; Python/Scala; dbt; orchestration (Airflow/ADF/Prefect); dimensional & data vault; IaC basics (Terraform/Bicep). DWH/lakehouse basics (Parquet/Delta) Familiarity with Modern Cloud Architecture (Azure, AWS) Familiarity data contracts, CI/CD for data.
Responsibilities
Design and maintain scalable data ingestion and transformation layers to provide governed datasets for analytics and ML. Lead complex integrations and mentor engineers while ensuring security and privacy controls are embedded in data products.