Lead Data Engineer

2 days ago

Cochin, Kerala, India Velodata Global Pvt Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title:
Lead Data Engineer

Location:
Kochi / Trivandrum

Experience:
10+ years

Notice Period:
Immediate to 15 days

Budget:
Up to ₹23 LPA

Primary Skills

  • Core:
    AWS, Python

Job Overview

Seeking an experienced
Senior/Lead Data Engineer
to design and implement scalable
data ingestion frameworks
, ensure
data quality and validation
, and build
robust APIs
for seamless data integration. The ideal candidate will have hands-on expertise with
AWS-based big data pipelines
, automation, and high-performance API development.

Key Responsibilities

  • Data Ingestion Framework:
  • Architect and maintain ETL pipelines using
    AWS Glue, Lambda, EMR, ECS, EC2, Step Functions
    .
  • Optimize data ingestion for scalability, resiliency, and automation.
  • Data Quality & Validation:
  • Build automated validation and error-handling mechanisms.
  • Implement monitoring, logging, and alerting for data quality assurance.
  • API Development:
  • Design and develop
    secure RESTful APIs
    for internal/external data integration.
  • Maintain API documentation and ensure adherence to best practices.
  • Collaboration & Agile:
  • Partner with business stakeholders, data scientists, and operations.
  • Contribute to
    CI/CD pipelines
    (preferably GitLab) and Agile processes.

Required Qualifications

  • Experience:
    Minimum 5+ years in data engineering / analytical platform development.
  • Programming:
    Strong in
    Python / PySpark / SQL
    for ETL and large-scale data handling.
  • AWS Expertise:
    Hands-on with
    AWS Glue, Lambda, Step Functions, S3
    , and
    data platforms
    (EMR, Apache Spark, Iceberg).
  • Database Exposure:
    DynamoDB, Aurora, Postgres, Redshift.
  • API Development:
    Proven REST API design & integration skills.
  • DevOps:
    Experience with
    GitLab CI/CD
    , Agile methodology.

Preferred Qualifications

  • Bachelor's/Master's in Computer Science, Data Engineering, or related field.
  • Familiarity with
    AWS Kinesis, Firehose, SQS
    , and
    data lakehouse architectures
    .
  • Experience with
    data quality frameworks
    and
    API-driven integrations
    in multi-cluster setups.
  • Commitment to
    Information Security policies and best practices
    .

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