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We are seeking an Senior Data Engineer with 4+ years of experience in Power BI, Alteryx, and SQL. The engineer will work with existing Power BI reports and Alteryx workflows to understand the current reporting ecosystem, analyze data flows, identify underlying databases/tables/views, and document end-to-end data lineage.
About thinkbridge
We are a global digital product development firm that helps growth-stage companies gain the technology sophistication and maturity of leading modern digital businesses. We differentiate ourselves by delivering exceptional quality at scale and speed with our thinkstack accelerators. We started with the vision of being able to build amazing software fast. A new way to build software without any of the compromises that currently plague software development. A new way to focus on the outcomes instead of the tech, tools, methodologies, processes and vanity artifacts.
Why is thinkbridge a great place to work
At thinkbridge, we are not just paving the way for exceptional digital experiences; we're also redefining the future of work. Our Remote First philosophy allows you to take a dive into a world where work doesn't tie you down. We're pioneering a Remote First approach, ensuring you're connected, no matter where you are. We foster and encourage a diverse and inclusive work culture where employees feel valued, respected, are encouraged to voice their ideas, have equal opportunities and are treated fairly. We encourage and provide for our employees health and well-being initiating wellness programs, provide mental health resources, and ergonomically designed workspaces to support employees physical and mental health. We understand the value of work-life balance, hence we follow Flexible Work Hours, to ensure they can rejuvenate besides managing their personal commitments without much hassle. At thinkbridge, it's more than just a job. It's a journey of innovation, growth, and balance. Join us in shaping the future!
thinkbridge is a place where you can:
thinkbridge..there's a new way there. ™
We live by five core values: Outcomes, Quality, Accountability, Communication & Care. This role embodies all five - you'll own outcomes, maintain high technical standards, and communicate effectively across all levels.
Experience Level: Mid-Level – Data Engineer with 4+ years of experience in Data analytics using hands-on expertise in Power BI, Alteryx, and SQL.
Shift Timings: 04:00 PM - 01:00 AM IST
What is expected out of you:
As part of the job, you will:
What We're Looking For:
Must have skills:
Good to Have:
Our Flagship Policies and Benefits:
What we offer
Work Environment
Join thinkbridge to be part of a purpose-driven, innovation-led organization that invests in your growth and empowers you to build a brighter future.
Job ID: 152469529
Skills:
Pyspark, Dimensional Modeling, Sas Enterprise Guide, Proc Sql, Cloud Storage, Sas Base, Star Schema, Python, Sas Macros, Dataproc, Sql, Git, Iam, Data Warehousing, DataFlow, Etl, SAS Data Sets, Data Pipeline Design, Snowflake Schema, Source-to-Target Mapping, Google BigQuery, Reconciliation, dbt, Performance Optimization, Cloud Composer Airflow, ELT Development, Data Validation
Skills:
Data Modeling, Pyspark, AWS Glue, Sql, Terraform, Etl Development, Python, AWS Step Functions, AWS EventBridge, AWS IAM Security Best Practices, S3-based Data Lakes, Reconciliation Frameworks, Data Validation
Skills:
Data Modeling, Dashboarding, Sql, ELT, Data Quality, Data Visualization, Python, Etl, SaaS Enterprise business models, Data processing performance tuning, Logging specifications, Product analytics, Anomaly detection solutions
Skills:
Data Modelling, Pyspark, Python, Sql, DevOps practices, Delta Lake, Data quality frameworks, Databricks Platform, Streaming data processing
Skills:
Pyspark, PostgreSQL, AWS Glue, Nosql, Numpy, Terraform, Python, AWS, Pyspark, Cloudformation, Dynamodb, Data Architecture, Sql, Pandas, Aws Cli, Amazon Redshift, Apache Kafka, Databricks, Kubernetes, Airflow, AWS CDK, Dask, dbt, Modern data processing frameworks, Iceberg, Cloud-native solutions, Data lake architectures, Delta Lake