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    Job · 20637557

    REMOTE · FULLTIME

    Data Engineer

    Spark Tech Wave Innovation

    Spark Tech Wave Innovation

    Remote · hybrid · Posted 12d ago

    Sourced fromNaukri
    Undisclosed2–7 yrsfulltimeRemote

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    Section · 01

    About this role

    Data Engineer Python | SQL | ETL | Cloud

    Company: Spark Techwave InnovationZ Pvt Ltd
    Job Type: Full-Time
    Experience: 1–15 Years
    Location: Chennai / Remote / Hybrid
    Department: Data & Engineering

    Job Summary

    Spark Techwave InnovationZ Pvt Ltd is looking for a Data Engineer to design, build, and maintain scalable data pipelines and data-processing solutions.

    The ideal candidate should have strong knowledge of Python, SQL, ETL/ELT concepts, databases, and data pipeline development. Experience with cloud platforms and modern data engineering tools will be an advantage.

    Key Responsibilities

    • Develop and maintain reliable data pipelines and ETL/ELT workflows.
    • Extract, transform, and load data from multiple sources.
    • Write efficient SQL queries for data extraction, transformation, and analysis.
    • Develop data-processing solutions using Python.
    • Work with relational and/or NoSQL databases.
    • Perform data validation, quality checks, and troubleshooting.
    • Optimize data pipelines for performance, scalability, and reliability.
    • Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders.
    • Monitor pipeline execution and resolve data-related issues.
    • Document data pipelines, processes, and technical solutions.
    • Follow best practices for data security, data quality, and pipeline reliability.

    Required Skills

    • Strong knowledge of Python.
    • Strong knowledge of SQL.
    • Understanding of ETL/ELT processes.
    • Experience with relational databases such as MySQL, PostgreSQL, or SQL Server.
    • Understanding of data warehousing concepts.
    • Good understanding of data structures and data processing.
    • Knowledge of APIs and data integration.
    • Strong problem-solving and analytical skills.

    Good to Have

    • Experience with AWS, Azure, or Google Cloud.
    • Knowledge of Apache Spark / PySpark.
    • Experience with Airflow or other workflow orchestration tools.
    • Knowledge of data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.
    • Experience with Docker and Git.
    • Understanding of CI/CD.
    • Knowledge of Kafka or other streaming technologies.

    Education

    Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

    Who Can Apply

    Candidates with experience in:

    • Data Engineering
    • ETL Development
    • Python Development
    • SQL Development
    • Data Analytics with strong programming skills
    • Backend/Data Pipeline Development

    What We Offer

    • Opportunity to work on real-world data engineering projects.
    • Exposure to modern data and cloud technologies.
    • Collaborative learning environment.
    • Opportunities to develop expertise in data engineering and analytics.

    Interested candidates can apply with their updated resume at [email removed]




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    Section · 02

    Skills

    PysparkData EngineeringPythonSQLData Modeling

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