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Job Title: Data Engineer Experience: 3 - 7 Years Location: Gurugram/Pune/Bangalore Notice Period: Immediate to 30 days Job Description As a Data Engineer, you will work closely with a global hedge fund client on data engagements. You will partner with data strategy and sourcing teams to design scalable data pipelines and delivery architectures. The position requires strong coding skills in Python and SQL, including core programming and data manipulation; hands-on experience with cloud native platforms; and solid expertise in core data engineering concepts. Key Responsibilities Partner with data strategy and sourcing teams to define data requirements and design data pipelines Engage with vendors and technical teams to ingest, evaluate, and curate valuable data assets Collaborate with the core engineering team to develop scalable data processing and distribution capabilities Implement robust data quality checks to ensure the integrity of data deliveries Act as a subject matter expert on data asset offerings and collaborate with technical and non-technical stakeholders Essential Skills and Experience 5+ years of experience in data engineering, including data modeling and warehousing Proficient in Python and Snowflake for data ingestion and back-end manipulation Skilled in handling various data formats such as Parquet, AVRO, JSON, and XLSX Experience with web scraping and modifying scraping scripts Hands-on experience with FTP, SFTP, APIs, S3, and other data distribution methods Proficient with PySpark, Docker, and AWS cloud environments Understanding of financial modeling concepts Educational Qualification B.E./B.Tech in Computer Science or a related field Key Metrics Technologies: Python, SQL, Snowflake, PySpark, Docker Focus Areas: Data engineering, pipeline creation, and data delivery Behavioral Competencies Strong verbal and written communication skills Ability to manage and collaborate with client stakeholders effectively Skills & Requirements Python, SQL, AWS, Snowflake, PySpark, Docker, Data Modeling, Data Warehousing, Data Pipelines, Web Scraping, Parquet, Avro, JSON, XLSX, FTP, SFTP, API, S3, AWS Cloud, Financial Modeling, Data Ingestion, Data Manipulation, Data Quality, Client Stakeholder Management Show more Show less
