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Data Engineer

Company Description:

Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.

Company Description:

Infostretch is a digital-native professional services firm. By combining our in-depth experience with niche digital technologies, ready-made tools, frameworks, technologies, and partnerships, we help enterprises get digital right, the first time. Backed by leading private equity firms Goldman Sachs and Everstone Group, the company is trusted by leading Fortune 100 companies as well as emerging innovators to deliver solutions that work seamlessly across channels, leverage predictive analytics to optimize the software lifecycle, and support continuous innovation.

The Company has been Certified as Great Place to Work for consecutive years, thanks to its employee friendly culture and this has enabled consistent double digit growth.

Technical Skills:
  • Strong programming skills. Must be proficient in one of the following languages: Python / Scala / Java
  • Must have working knowledge of Pyspark, Panda Data Frames, SparkSQL etc.
  • Working knowledge of messaging and data pipeline tools like Apache Kafka, Amazon Kinesis
  • Must have experience developing APIs using frameworks like Flask/Django etc.
  • Experience with stream-processing systems: Apache Spark-Streaming, Apache Storm etc.
  • Experience working in open table / in-memory table formats for huge analytics dataset: Iceberg, Parquet, Arrow, AVRO etc.
  • Experience writing and understanding complex SQL queries
  • Experience with AWS cloud services, data pipeline and governance tools like AWS Glue.
  • Experience working with NoSQL databases like, Apache Solr, DynamoDB, MongoDB.
  • Experience working with data warehouse tools like AWS Redshift, Snowflake.
  • Must have worked with structured, semi-structured and unstructured large data sets from real time/batch streaming data feeds.

Disclaimer:
If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE). You can read our job applicant privacy policy here.

Apply Online Print

Job Code: DE-AP-210101

Category: Engineering

Job Type: Full-Time

Location: Pune, India or Ahmedabad, India

Open Positions: 2

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