Data Engineer

7 days ago

Pune, Maharashtra, India TechVerito Full time ₹ 15,00,000 - ₹ 25,00,000 per year

About the Role

We are looking for a
Data Engineer
with strong experience in
Spark (PySpark)
,
SQL
, and
data pipeline architecture
. You will play a critical role in designing, building, and optimizing data workflows that enable scalable analytics and real-time insights. The ideal candidate is hands-on, detail-oriented, and passionate about crafting reliable data solutions, while collaborating with cross-functional teams.

Responsibilities

  • Design and architect
    scalable and efficient data pipelines
    for batch and real-time processing.
  • Develop and optimize solutions using
    Spark (PySpark)
    and
    SQL
    .
  • Ensure data pipelines are
    reliable, maintainable, and well-tested
    .
  • Work with stakeholders to understand business requirements and translate them into
    data-driven solutions
    .
  • Collaborate with cross-functional teams to ensure
    data quality, availability, and performance
    .
  • Stay updated with
    emerging data engineering tools and practices
    .

Must-Have Skills

  • Strong expertise in
    Spark (PySpark)
    .
  • Proficiency in
    SQL
    (query optimization, performance tuning, complex joins).
  • Hands-on experience in
    designing and architecting data pipelines
    .
  • Excellent
    communication and collaboration skills
    .

Good to Have

  • Experience with
    data streaming platforms
    (Kafka, Kinesis, etc.).
  • Proficiency in
    Python
    for data engineering tasks.
  • Exposure to
    Databricks
    and
    Azure cloud
    services.
  • Knowledge of
    HTAP systems, Debezium, 3PL/logistics domain
    (having most of this mentioned skills would be great)
  • Familiarity with
    orchestration frameworks
    such as
    Apache Airflow
    or
    Apache NiFi
    .

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