Data Engineer

2 weeks ago

Gurgaon, Haryana, India SID Global Solutions Full time

Job Title: Data Engineer

Experience Required:
6–8 Years

Location:
Gurugram/Noida

Employment Type:
Full-time

About SID Global Solutions

SID Global Solutions is a premier Google implementation partner and global technology services firm helping Fortune 500 enterprises across
BFSI, Healthcare, Retail, Manufacturing, and Public Sector
accelerate digital transformation.

We specialize in
AI, Cloud, Automation, API Management, and Modern Data Platforms
— driving innovation and business growth at scale.

About the Role:

We are seeking an experienced
Data Engineer
to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in modern data technologies, cloud platforms, and big data ecosystems, with a passion for optimizing data flow and enabling data-driven decision-making across the organization.

Key Responsibilities:

  • Design, develop, and maintain robust
    ETL/ELT pipelines
    for structured and unstructured data.
  • Build and optimize
    data warehouses, data lakes
    , and
    data models
    to support analytics and reporting needs.
  • Work closely with
    data analysts, data scientists, and business teams
    to ensure data accuracy and availability.
  • Implement
    data governance, quality, and security standards
    across the data ecosystem.
  • Manage and optimize
    data storage and retrieval
    for high performance and scalability.
  • Collaborate with cross-functional teams to
    migrate, integrate, and transform data
    across systems.
  • Monitor and troubleshoot
    data pipeline performance
    , ensuring minimal downtime.
  • Evaluate and implement new
    data tools, frameworks, and best practices
    to enhance data operations.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in
    Computer Science, Information Technology, Engineering
    , or related field.
  • 6–8 years of experience in
    data engineering
    or similar roles.
  • Proficiency in
    SQL
    and experience with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB).
  • Strong experience with
    ETL tools
    (e.g., Apache Airflow, Talend, Informatica, AWS Glue, dbt).
  • Expertise in at least one
    programming language
    (Python, Scala, or Java).
  • Hands-on experience with
    cloud data platforms
    — AWS (Redshift, S3, Glue), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).
  • Familiarity with
    big data frameworks
    (Spark, Hadoop, Kafka).
  • Experience with
    data modeling, schema design
    , and
    data warehousing concepts
    .
  • Knowledge of
    CI/CD pipelines, containerization (Docker/Kubernetes)
    , and
    version control (Git)
    .

Good to Have:

  • Experience with
    real-time streaming data
    solutions.
  • Exposure to
    machine learning data pipelines
    or
    analytics platforms
    .
  • Familiarity with
    data governance and cataloging tools
    (Collibra, Alation, Apache Atlas).
  • Understanding of
    DevOps or MLOps
    principles in data environments.

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